Updated on 2024/04/01

写真a

 
MORI, Kensaku
 
Organization
Graduate School of Informatics Department of Intelligent Systems 2 Professor
Graduate School
Graduate School of Information Science
Graduate School of Informatics
Undergraduate School
School of Informatics Department of Computer Science
Title
Professor
Contact information
メールアドレス
External link

Degree 1

  1. 博士(工学)

Research Interests 2

  1. Image processing, high-dimensional image processing, pattern recognition, machine learning, medical image processing, computer assisted surgery, computer aided diagnosis, artificial intelligence

  2. artificial intelligence

Research Areas 3

  1. Others / Others  / Visual Information Processing

  2. Others / Others  / Medical Systems

  3. Others / Others  / Intelligent Informatics

Current Research Project and SDGs 1

  1. Study on 3-D image processing and its medical applications

Research History 11

  1. Nagoya University   Administrative Support Organizations

    2017.4

  2. Nagoya University   Information Technology Center   Director in General

    2016.4

  3. Nagoya University   Administrative Support Organizations Information Strategy Office   Head

    2016.4

  4. Nagoya University   Graduate School of Information Science Department of Media Science Intelligent Media Engineering   Professor

    2009.10 - 2017.3

  5. Associate Professor, Dept. of Media Science, Graduate School of Information Science, Nagoya University

    2007.4

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    Country:Japan

  6. Associate Professor, Dept. of Media Science, Graduate School of Information Science, Nagoya University

    2003.4 - 2007.3

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    Country:Japan

  7. 名古屋大学難処理人工物研究センター助教授

    2001.4 - 2003.3

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    Country:Japan

  8. 名古屋大学大学院工学研究科計算理工学専攻講師

    2000.4 - 2001.3

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    Country:Japan

  9. 名古屋大学大学院工学研究科計算理工学専攻助手

    1997.4 - 2000.3

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    Country:Japan

  10. 日本学術振興会特別研究員(PD)

    1996.10

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    Country:Japan

  11. 日本学術振興会特別研究員(DC1)

    1994.4

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    Country:Japan

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Education 3

  1. Nagoya University   Graduate School, Division of Engineering

    1994.4 - 1996.9

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    Country: Japan

  2. Nagoya University   Graduate School, Division of Engineering

    1992.4 - 1994.3

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    Country: Japan

  3. Nagoya University   Faculty of Engineering

    1988.4 - 1992.3

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    Country: Japan

Professional Memberships 38

  1. 日本医用画像工学会

    2020

  2. 電子情報通信学会   医用画像研究会専門委員会幹事

    2007.4

  3. 日本医用画像工学会   幹事

    2009.4

  4. 日本生体医工学会   代議員

    2007.4 - 2010.3

  5. IEEE

  6. SPIE   SPIE Medical Imaging Program Committee

    2005.4

  7. 日本CT検診学会

    2020.4

  8. 東海支部連合大会

    2020.4

  9. 情報処理学会

    2020.4

  10. 日本がん検診・診断学会

    2020.4

  11. 日本呼吸内視鏡学会

    2020.4

  12. 日本生体医工学会

    2020.4

  13. 日本消化器内視鏡学会

    2020.4

  14. 日本VR医学会   評議員

    2009.4 - 2011.3

  15. 日本コンピュータ外科学会   理事

    2008.4

  16. 電子情報通信学会   医用画像研究会幹事

    2007.4

  17. MICCAI (Medical Image Computing and Computer Assisted Surgery   Program Committee

    2007.4

  18. SPIE Medical Imaging Conference 2007, Computer Aided Diagnosis   Program Committee

    2007.4 - 2009.3

  19. SPIE Medical Imaging Conference 2007, Image Processing   Program Committee

    2007.4 - 2009.3

  20. 電子情報通信学会   医療情報通信技術時限研究専門委員会専門委員

    2006.4 - 2008.3

  21. SPIE Medical Imaging Conference 2007, Image Processing   Program Committee

    2006.4 - 2008.3

  22. SPIE Medical Imaging Conference 2007, Computer Aided Diagnosis   Program Committee

    2006.4 - 2008.3

  23. コンピュータ支援画像診断学会   評議員

    2005.4

  24. International Journal of Computer Assisted Radiology and Surgery   Editorial Board

    2005.4

  25. Journal Medical Image Analysis   Editorial Board

    2005.4

  26. 電子情報通信学会   医用画像研究会幹事補佐

    2005.4 - 2008.3

  27. MICCAI (Medical Image Computing and Computer Assisted Intervention)   Area chair

    2005.4 - 2007.3

  28. SPIE Medical Imaging Conference 2006, Image Processing   Program Committee

    2005.4 - 2007.3

  29. MICCAI (Medical Image Computing and Computer Assisted Intervention)   Reviewer

    2004.4 - 2006.3

  30. 電子情報通信学会   医用画像研究会専門委員

    2003.4 - 2005.3

  31. 日本エム・イー学会   研究奨励賞選定委員会委員

    2003.4 - 2005.3

  32. MICCAI (Medical Image Computing and Computer Assisted Intervention)   Referee

    2003.4 - 2004.3

  33. Japan Society of Computer Assisted Syrgery

    2002.4

  34. CARS (Computer Assisted Radiology and Surgery)   Program Committee

    2001.4 - 2008.3

  35. Medical Image Analysis   Ad hoc Reviewer

  36. IEEE Transactions on Medical Imaging   Ad hoc Reviewer

  37. International Journal of Computer Assisted Radiology and Surgery

  38. CARS (Computer Assisted Radiology and Surgery)

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Committee Memberships 27

  1. 学内   TMI卓越大学院広報委員会委員  

    2020.12   

  2. 一般財団法人高度情報科学技術研究機構   HPCI連携サービス委員  

    2020.5 - 2021.3   

  3. 学内   東山キャンパス倫理審査委員  

    2020.4   

  4. 学内   全国共同利用システム専門委員  

    2020.4   

  5. 学内   情報連携推進本部会議  

    2020.4   

  6. 学内   情報連携統括本部情報戦略室  

    2020.4   

  7. 学内   情報連携統括本部会議委員  

    2020.4   

  8. 学内   数理・データ科学教育研究センター 教育専門委員  

    2020.4   

  9. 学内   数理・データ科学教育研究センター運営委員  

    2020.4   

  10. 学内   全学技術センター運営専門委員会技術支援室委員  

    2020.4   

  11. 学内   全学技術センター運営委員会運営専門委員  

    2020.4   

  12. 学内   全学技術センター運営委員会人事委員  

    2020.4   

  13. 学内   連合第2群会議委員  

    2020.4   

  14. 学内   将来構想分科会委員  

    2020.4   

  15. 学内   教育分科会(全学教育委員会)委員  

    2020.4   

  16. 学内   セキュリティ専門委員  

    2020.4   

  17. 学内   安全保障委員  

    2020.4   

  18. 学内   情報連携推進本部業務会議 委員  

    2020.4   

  19. 学内   情報メディア教育システム運営協議会  

    2020.4   

  20. 学内   情報セキュリティ組織連絡協議会委員  

    2020.4   

  21. 学内   情報メディア教育システム専門委員  

    2020.4   

  22. 学内   プロジェクト・業務専門員会委員  

    2020.4   

  23. 公益財団法人 テルモ生命科学振興財団   研究開発助成選考委員  

    2020.4 - 2022.3   

  24. 国立研究開発法人医薬基盤・健康・栄養研究所   国立研究開発法人医薬基盤・健康・栄養研究所SIP評価委員  

    2020.4 - 2022.3   

  25. 学内   CIBoG 運営委員  

    2019.4   

  26. 学内   CIBoGカリキュラム委員  

    2019.4   

  27. 一般社団法人 日本コンピュータ外科学会   国際委員会委員  

    2017.12 - 2019.9   

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Awards 21

  1. The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology

    2022.4   MEXT  

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    Award type:International academic award (Japan or overseas)  Country:Japan

  2. 日本医用画像工学会論文賞

    2009.8   日本医用画像工学会  

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    Country:Japan

    計算機支援医用画像のための共通基盤システムの開発

  3. 功績賞

    2021.10   日本医用画像工学会  

  4. 文部科学大臣表彰 若手科学者賞

    2006.4   文部科学省  

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    Country:Japan

    仮想化内視鏡システム開発に対する貢献が評価されたものである。

  5. Certificate of Merit, Education Exhibit, Radiological Society of North America

    2009.11   RSNA (Radiological Society of North America)  

  6. 日本コンピュータ外科学会 2016年度講演論文賞

    2017.10   一般社団法人 日本コンピュータ外科学会  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

  7. Fellow

    2015.10   MICCAI  

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    Country:Germany

  8. Magna Cum Laude Education Exhibit

    2014.12   Radiological Society of North America  

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    Country:United States

  9. Conference 8315, Honorable Mention Poster Award

    2012.2   SPIE Medical Imaging 2012: Computer-Aided Diagnosis  

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    Country:United States

  10. Honorable Mention Poster Award

    2011.2   SPIE Medical Imaging 2011: Image Processing  

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    Country:United States

  11. 2009年度 CAS Young Investigator Award ゴールド賞(日立メディコ賞)

    2010.11   第19回日本コンピュータ外科学会大会  

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    Country:Japan

  12. Honorable Mention Poster Award

    2010.2   SPIE Medical Imaging 2010: Computer-Aided Diagnosi  

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    Country:United States

  13. Certificate of Merit Education Exhibit

    2009.11   RSNA(Radiological Society of North America)  

  14. Certificate of Merit

    2004.11   Radiological Society of North America  

  15. International Society of Computer Assisted Surgery

    2004.6   Best Poster Award (1st Prize)  

  16. 電子情報通信学会ソサイエティ論文賞

    2000  

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    Country:Japan

  17. 日本気管支学会論文賞

    2000  

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    Country:Japan

  18. 丹羽記念賞

    1998  

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    Country:Japan

  19. 日本医用画像工学会奨励賞

    1997  

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    Country:Japan

  20. 日本エム・イー学会論文賞

    1997  

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    Country:Japan

  21. 日本医用画像工学会奨励賞

    1995  

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    Country:Japan

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Papers 1772

  1. Label cleaning and propagation for improved segmentation performance using fully convolutional networks Reviewed

    Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Shinya Onogi, Toshihiro Kawase, Kensaku Mori, Yoshikazu Nakajima

    International Journal of Computer Assisted Radiology and Surgery     2021.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.1007/s11548-021-02312-5

  2. Predicting Violence Rating Based on Pairwise Comparison. Reviewed

    Ying JI, Yu WANG, Jien KATO, Kensaku MORI

    IEICE Transactions on Information and Systems   Vol. E103.D ( 12 ) page: 2578 - 2589   2020.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.1587/transinf.2020EDP7056

  3. Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Invited Reviewed

    Shen C, Roth HR, Hayashi Y, Oda M, Sato G, Miyamoto T, Rueckert D, Mori K

    International journal of computer assisted radiology and surgery   Vol. 19 ( 4 ) page: 655 - 664   2024.4

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:International Journal of Computer Assisted Radiology and Surgery  

    Purpose: Pancreatic duct dilation is associated with an increased risk of pancreatic cancer, the most lethal malignancy with the lowest 5-year relative survival rate. Automatic segmentation of the dilated pancreatic duct from contrast-enhanced CT scans would facilitate early diagnosis. However, pancreatic duct segmentation poses challenges due to its small anatomical structure and poor contrast in abdominal CT. In this work, we investigate an anatomical attention strategy to address this issue. Methods: Our proposed anatomical attention strategy consists of two steps: pancreas localization and pancreatic duct segmentation. The coarse pancreatic mask segmentation is used to guide the fully convolutional networks (FCNs) to concentrate on the pancreas’ anatomy and disregard unnecessary features. We further apply a multi-scale aggregation scheme to leverage the information from different scales. Moreover, we integrate the tubular structure enhancement as an additional input channel of FCN. Results: We performed extensive experiments on 30 cases of contrast-enhanced abdominal CT volumes. To evaluate the pancreatic duct segmentation performance, we employed four measurements, including the Dice similarity coefficient (DSC), sensitivity, normalized surface distance, and 95 percentile Hausdorff distance. The average DSC achieves 55.7%, surpassing other pancreatic duct segmentation methods on single-phase CT scans only. Conclusions: We proposed an anatomical attention-based strategy for the dilated pancreatic duct segmentation. Our proposed strategy significantly outperforms earlier approaches. The attention mechanism helps to focus on the pancreas region, while the enhancement of the tubular structure enables FCNs to capture the vessel-like structure. The proposed technique might be applied to other tube-like structure segmentation tasks within targeted anatomies.

    DOI: 10.1007/s11548-023-03049-z

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  4. Artificial intelligence-based diagnostic imaging system with virtual enteroscopy and virtual unfolded views to evaluate small bowel lesions in Crohn's disease. Invited Reviewed

    Furukawa K, Oda M, Watanabe O, Nakamura M, Yamamura T, Maeda K, Mori K, Kawashima H

    Revista espanola de enfermedades digestivas     2024.3

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.17235/reed.2024.10405/2024

    PubMed

  5. Development of real-time navigation system for laparoscopic hepatectomy using magnetic micro sensor. Invited Reviewed

    Igami T, Hayashi Y, Yokyama Y, Mori K, Ebata T

    Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy     page: 1 - 11   2024.1

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Minimally Invasive Therapy and Allied Technologies  

    Background: We report a new real-time navigation system for laparoscopic hepatectomy (LH), which resembles a car navigation system. Material and methods: Virtual three-dimensional liver and body images were reconstructed using the “New-VES” system, which worked as roadmap during surgery. Several points of the patient’s body were registered in virtual images using a magnetic position sensor (MPS). A magnetic transmitter, corresponding to an artificial satellite, was placed about 40 cm above the patient’s body. Another MPS, corresponding to a GPS antenna, was fixed on the handling part of the laparoscope. Fiducial registration error (FRE, an error between real and virtual lengths) was utilized to evaluate the accuracy of this system. Results: Twenty-one patients underwent LH with this system. Mean FRE of the initial five patients was 17.7 mm. Mean FRE of eight patients in whom MDCT was taken using radiological markers for registration of body parts as first improvement, was reduced to 10.2 mm (p =.014). As second improvement, a new MPS as an intraoperative body position sensor was fixed on the right-sided chest wall for automatic correction of postural gap. The preoperative and postoperative mean FREs of 8 patients with both improvements were 11.1 mm and 10.1 mm (p =.250). Conclusions: Our system may provide a promising option that virtually guides LH.

    DOI: 10.1080/13645706.2023.2301594

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  6. Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases. Invited Reviewed

    Ueno Y, Oda M, Yamaguchi T, Fukuoka H, Nejima R, Kitaguchi Y, Miyake M, Akiyama M, Miyata K, Kashiwagi K, Maeda N, Shimazaki J, Noma H, Mori K, Oshika T

    The British journal of ophthalmology     2024.1

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:British Journal of Ophthalmology  

    Aim To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images. Methods This study included 6442 images that were captured using a slit-lamp microscope (6106 images) and smartphone (336 images). An AI algorithm was developed based on slit-lamp images to differentiate 36 major diseases (cataracts and corneal diseases) into 9 categories. To validate the AI model, smartphone images were used for the testing dataset. We evaluated AI performance that included sensitivity, specificity and receiver operating characteristic (ROC) curve for the diagnosis and triage of the diseases. Results The AI algorithm achieved an area under the ROC curve of 0.998 (95% CI, 0.992 to 0.999) for normal eyes, 0.986 (95% CI, 0.978 to 0.997) for infectious keratitis, 0.960 (95% CI, 0.925 to 0.994) for immunological keratitis, 0.987 (95% CI, 0.978 to 0.996) for cornea scars, 0.997 (95% CI, 0.992 to 1.000) for ocular surface tumours, 0.993 (95% CI, 0.984 to 1.000) for corneal deposits, 1.000 (95% CI, 1.000 to 1.000) for acute angle-closure glaucoma, 0.992 (95% CI, 0.985 to 0.999) for cataracts and 0.993 (95% CI, 0.985 to 1.000) for bullous keratopathy. The triage of referral suggestion using the smartphone images exhibited high performance, in which the sensitivity and specificity were 1.00 (95% CI, 0.478 to 1.00) and 1.00 (95% CI, 0.976 to 1.000) for’urgent’, 0.867 (95% CI, 0.683 to 0.962) and 1.00 (95% CI, 0.971 to 1.000) for’semi-urgent’, 0.853 (95% CI, 0.689 to 0.950) and 0.983 (95% CI, 0.942 to 0.998) for’routine’ and 1.00 (95% CI, 0.958 to 1.00) and 0.896 (95% CI, 0.797 to 0.957) for’observation’, respectively. Conclusions The AI system achieved promising performance in the diagnosis of cataracts and corneal diseases.

    DOI: 10.1136/bjo-2023-324488

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  7. Endoscope Automation Framework with Hierarchical Control and Interactive Perception for Multi-Tool Tracking in Minimally Invasive Surgery. Invited Reviewed

    Fozilov K, Colan J, Davila A, Misawa K, Qiu J, Hayashi Y, Mori K, Hasegawa Y

    Sensors (Basel, Switzerland)   Vol. 23 ( 24 )   2023.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Sensors  

    In the context of Minimally Invasive Surgery, surgeons mainly rely on visual feedback during medical operations. In common procedures such as tissue resection, the automation of endoscopic control is crucial yet challenging, particularly due to the interactive dynamics of multi-agent operations and the necessity for real-time adaptation. This paper introduces a novel framework that unites a Hierarchical Quadratic Programming controller with an advanced interactive perception module. This integration addresses the need for adaptive visual field control and robust tool tracking in the operating scene, ensuring that surgeons and assistants have optimal viewpoint throughout the surgical task. The proposed framework handles multiple objectives within predefined thresholds, ensuring efficient tracking even amidst changes in operating backgrounds, varying lighting conditions, and partial occlusions. Empirical validations in scenarios involving single, double, and quadruple tool tracking during tissue resection tasks have underscored the system’s robustness and adaptability. The positive feedback from user studies, coupled with the low cognitive and physical strain reported by surgeons and assistants, highlight the system’s potential for real-world application.

    DOI: 10.3390/s23249865

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  8. Artificial intelligence for evaluating the risk of gastric cancer: reliable detection and scoring of intestinal metaplasia with deep learning algorithms. Invited Reviewed

    Iwaya M, Hayashi Y, Sakai Y, Yoshizawa A, Iwaya Y, Uehara T, Kitagawa M, Fukayama M, Mori K, Ota H

    Gastrointestinal endoscopy   Vol. 98 ( 6 ) page: 925 - 933.e1   2023.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Gastrointestinal Endoscopy  

    Background and Aims: Gastric cancer (GC) is associated with chronic gastritis. To evaluate the risk, the Operative Link on Gastric Intestinal Metaplasia Assessment (OLGIM) system was constructed and showed a higher GC risk in stage III or IV patients, determined by the degree of intestinal metaplasia (IM). Although the OLGIM system is useful, evaluating the degree of IM requires substantial experience to produce precise scoring. Whole-slide imaging is becoming routine, but most artificial intelligence (AI) systems in pathology are focused on neoplastic lesions. Methods: Hematoxylin and eosin–stained slides were scanned. Images were divided into each gastric biopsy tissue sample and labeled with an IM score. IM was scored as follows: 0 (no IM), 1 (mild IM), 2 (moderate IM), and 3 (severe IM). Overall, 5753 images were prepared. A deep convolutional neural network (DCNN) model, ResNet50, was used for classification. Results: ResNet50 classified images with and without IM with a sensitivity of 97.7% and specificity of 94.6%. IM scores 2 and 3, involved as criteria of stage III or IV in the OLGIM system, were classified by ResNet50 in 18%. The respective sensitivity and specificity values of classifying IM between scores 0 and 1 and 2 and 3 were 98.5% and 94.9%, respectively. The IM scores classified by pathologists and the AI system were different in only 438 images (7.6%), and we found that ResNet50 tended to miss small foci of IM but successfully identified minimal IM areas that pathologists missed during the review. Conclusions: Our findings suggested that this AI system would contribute to evaluating the risk of GC accuracy, reliability, and repeatability with worldwide standardization.

    DOI: 10.1016/j.gie.2023.06.056

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  9. Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification Invited Reviewed

    Sadayuki Ito, Hiroaki Nakashima, Toshitaka Yoshii, Satoru Egawa, Kenichiro Sakai, Kazuo Kusano, Shinji Tsutui, Takashi Hirai, Yu Matsukura, Kanichiro Wada, Keiichi Katsumi, Masao Koda, Atsushi Kimura, Takeo Furuya, Satoshi Maki, Narihito Nagoshi, Norihiro Nishida, Yukitaka Nagamoto, Yasushi Oshima, Kei Ando, Masahiko Takahata, Kanji Mori, Hideaki Nakajima, Kazuma Murata, Masayuki Miyagi, Takashi Kaito, Kei Yamada, Tomohiro Banno, Satoshi Kato, Tetsuro Ohba, Satoshi Inami, Shunsuke Fujibayashi, Hiroyuki Katoh, Haruo Kanno, Masahiro Oda, Kensaku Mori, Hiroshi Taneichi, Yoshiharu Kawaguchi, Katsushi Takeshita, Morio Matsumoto, Masashi Yamazaki, Atsushi Okawa, Shiro Imagama

    Europian Spine Journal   Vol. 32 ( 11 ) page: 3797 - 3806   2023.11

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s00586-023-07562-2

    DOI: 10.1007/s00586-023-07562-2

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  10. Social Relation Atmosphere Recognition with Relevant Visual Concepts Invited

    JI Ying, WANG Yu, MORI Kensaku, KATO Jien

    IEICE Transactions on Information and Systems   Vol. E106.D ( 10 ) page: 1638 - 1649   2023.10

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:The Institute of Electronics, Information and Communication Engineers  

    <p>Social relationships (e.g., couples, opponents) are the foundational part of society. Social relation atmosphere describes the overall interaction environment between social relationships. Discovering social relation atmosphere can help machines better comprehend human behaviors and improve the performance of social intelligent applications. Most existing research mainly focuses on investigating social relationships, while ignoring the social relation atmosphere. Due to the complexity of the expressions in video data and the uncertainty of the social relation atmosphere, it is even difficult to define and evaluate. In this paper, we innovatively analyze the social relation atmosphere in video data. We introduce a Relevant Visual Concept (RVC) from the social relationship recognition task to facilitate social relation atmosphere recognition, because social relationships contain useful information about human interactions and surrounding environments, which are crucial clues for social relation atmosphere recognition. Our approach consists of two main steps: (1) we first generate a group of visual concepts that preserve the inherent social relationship information by utilizing a 3D explanation module; (2) the extracted relevant visual concepts are used to supplement the social relation atmosphere recognition. In addition, we present a new dataset based on the existing Video Social Relation Dataset. Each video is annotated with four kinds of social relation atmosphere attributes and one social relationship. We evaluate the proposed method on our dataset. Experiments with various 3D ConvNets and fusion methods demonstrate that the proposed method can effectively improve recognition accuracy compared to end-to-end ConvNets. The visualization results also indicate that essential information in social relationships can be discovered and used to enhance social relation atmosphere recognition.</p>

    DOI: 10.1587/transinf.2023PCP0008

    Scopus

    CiNii Research

  11. Automated Detection and Diagnosis of Spinal Schwannomas and Meningiomas Using Deep Learning and Magnetic Resonance Imaging. Invited Reviewed

    Ito S, Nakashima H, Segi N, Ouchida J, Oda M, Yamauchi I, Oishi R, Miyairi Y, Mori K, Imagama S

    Journal of clinical medicine   Vol. 12 ( 15 )   2023.8

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Journal of Clinical Medicine  

    Spinal cord tumors are infrequently identified spinal diseases that are often difficult to diagnose even with magnetic resonance imaging (MRI) findings. To minimize the probability of overlooking these tumors and improve diagnostic accuracy, an automatic diagnostic system is needed. We aimed to develop an automated system for detecting and diagnosing spinal schwannomas and meningiomas based on deep learning using You Only Look Once (YOLO) version 4 and MRI. In this retrospective diagnostic accuracy study, the data of 50 patients with spinal schwannomas, 45 patients with meningiomas, and 100 control cases were reviewed, respectively. Sagittal T1-weighted (T1W) and T2-weighted (T2W) images were used for object detection, classification, training, and validation. The object detection and diagnosis system was developed using YOLO version 4. The accuracies of the proposed object detections based on T1W, T2W, and T1W + T2W images were 84.8%, 90.3%, and 93.8%, respectively. The accuracies of the object detection for two spine surgeons were 88.9% and 90.1%, respectively. The accuracies of the proposed diagnoses based on T1W, T2W, and T1W + T2W images were 76.4%, 83.3%, and 84.1%, respectively. The accuracies of the diagnosis for two spine surgeons were 77.4% and 76.1%, respectively. We demonstrated an accurate, automated detection and diagnosis of spinal schwannomas and meningiomas using the developed deep learning-based method based on MRI. This system could be valuable in supporting radiological diagnosis of spinal schwannomas and meningioma, with a potential of reducing the radiologist’s overall workload.

    DOI: 10.3390/jcm12155075

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  12. Activities of National Institute of Informatics in Japan Invited Reviewed

    Kitsuregawa M., Urushidani S., Yamaji K., Takakura H., Hasuo I., Sato I., Ishikawa F., Echizen I., Mori K.

    Communications of the ACM   Vol. 66 ( 7 ) page: 58 - 63   2023.6

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    DOI: 10.1145/3589736

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  13. Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial. Invited Reviewed

    Barua I, Misawa M, Glissen Brown JR, Walradt T, Kudo SE, Sheth SG, Nee J, Iturrino J, Mukherjee R, Cheney CP, Sawhney MS, Pleskow DK, Mori K, Løberg M, Kalager M, Wieszczy P, Bretthauer M, Berzin TM, Mori Y

    Scandinavian journal of gastroenterology   Vol. 58 ( 6 ) page: 664 - 670   2023.6

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    Objectives: Meticulous inspection of the mucosa during colonoscopy, represents a lengthier withdrawal time, but has been shown to increase adenoma detection rate (ADR). We investigated if artificial intelligence-aided speed monitoring can improve suboptimal withdrawal time. Methods: We evaluated the implementation of a computer-aided speed monitoring device during colonoscopy at a large academic endoscopy center. After informed consent, patients ≥18 years undergoing colonoscopy between 5 March and 29 April 2021 were examined without the use of the speedometer, and with the speedometer between 29 April and 30 June 2021. All colonoscopies were recorded, and withdrawal time was assessed based on the recordings in a blinded fashion. We compared mean withdrawal time, percentage of withdrawal time ≥6 min, and ADR with and without the speedometer. Results: One hundred sixty-six patients in each group were eligible for analyses. Mean withdrawal time was 9 min and 6.6 s (95% CI: 8 min and 34.8 s to 9 min and 39 s) without the use of the speedometer, and 9 min and 9 s (95% CI: 8 min and 45 s to 9 min and 33.6 s) with the speedometer; difference 2.3 s (95% CI: −42.3–37.7, p = 0.91). The ADRs were 45.2% (95% CI: 37.6–52.8) without the speedometer as compared to 45.8% (95% CI: 38.2–53.4) with the speedometer (p = 0.91). The proportion of colonoscopies with withdrawal time ≥6 min without the speedometer was 85.5% (95% CI: 80.2–90.9) versus 86.7% (95% CI: 81.6–91.9) with the speedometer (p = 0.75). Conclusions: Use of speed monitoring during withdrawal did not increase withdrawal time or ADR in colonoscopy. ClinicalTrials.gov Identifier: NCT04710251.

    DOI: 10.1080/00365521.2022.2154616

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  14. Correction to: Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos. Invited Reviewed

    Jiang K, Itoh H, Oda M, Okumura T, Mori Y, Misawa M, Hayashi T, Kudo SE, Mori K

    International journal of computer assisted radiology and surgery   Vol. 18 ( 5 ) page: 807   2023.5

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    The original version of this article unfortunately contained a mistake. The incorrect notations were given in the author’s affiliations.

    DOI: 10.1007/s11548-023-02899-x

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  15. Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos. Invited Reviewed

    Jiang K, Itoh H, Oda M, Okumura T, Mori Y, Misawa M, Hayashi T, Kudo SE, Mori K

    International journal of computer assisted radiology and surgery   Vol. 18 ( 5 ) page: 795 - 805   2023.5

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    Purpose: Endoscopic submucosal dissection (ESD) is a minimally invasive treatment for early gastric cancer. However, perforations may happen and cause peritonitis during ESD. Thus, there is a potential demand for a computer-aided diagnosis system to support physicians in ESD. This paper presents a method to detect and localize perforations from colonoscopy videos to avoid perforation ignoring or enlarging by ESD physicians. Method: We proposed a training method for YOLOv3 by using GIoU and Gaussian affinity losses for perforation detection and localization in colonoscopic images. In this method, the object functional contains the generalized intersection over Union loss and Gaussian affinity loss. We propose a training method for the architecture of YOLOv3 with the presented loss functional to detect and localize perforations precisely. Results: To qualitatively and quantitatively evaluate the presented method, we created a dataset from 49 ESD videos. The results of the presented method on our dataset revealed a state-of-the-art performance of perforation detection and localization, which achieved 0.881 accuracy, 0.869 AUC, and 0.879 mean average precision. Furthermore, the presented method is able to detect a newly appeared perforation in 0.1 s. Conclusions: The experimental results demonstrated that YOLOv3 trained by the presented loss functional were very effective in perforation detection and localization. The presented method can quickly and precisely remind physicians of perforation happening in ESD. We believe a future CAD system can be constructed for clinical applications with the proposed method.

    DOI: 10.1007/s11548-022-02821-x

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  16. Class-wise confidence-aware active learning for laparoscopic images segmentation Invited Reviewed

    Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 18 ( 3 ) page: 473 - 482   2023.3

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    DOI: 10.1007/s11548-022-02773-2

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  17. A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation Invited Reviewed

    Ruiyun Zhu, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara & Kensaku Mori   Vol. 18 ( 3 ) page: 461 - 472   2023.3

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    DOI: 10.1007/s11548-022-02767-0

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  18. Deep Learning-Based Seminal Vesicle and Vas Deferens Recognition in the Posterior Approach of Robot-Assisted Radical Prostatectomy. Invited Reviewed

    Takeshita N, Sakamoto S, Kitaguchi D, Takeshita N, Yajima S, Koike T, Ishikawa Y, Matsuzaki H, Mori K, Masuda H, Ichikawa T, Ito M

    Urology   Vol. 173   page: 98 - 103   2023.3

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    Objective: To develop a convolutional neural network to recognize the seminal vesicle and vas deferens (SV-VD) in the posterior approach of robot-assisted radical prostatectomy (RARP) and assess the performance of the convolutional neural network model under clinically relevant conditions. Methods: Intraoperative videos of robot-assisted radical prostatectomy performed by the posterior approach from 3 institutions were obtained between 2019 and 2020. Using SV-VD dissection videos, semantic segmentation of the seminal vesicle-vas deferens area was performed using a convolutional neural network-based approach. The dataset was split into training and test data in a 10:3 ratio. The average time required by 6 novice urologists to correctly recognize the SV-VD was compared using intraoperative videos with and without segmentation masks generated by the convolutional neural network model, which was evaluated with the test data using the Dice similarity coefficient. Training and test datasets were compared using the Mann–Whitney U-test and chi-square test. Time required to recognize the SV-VD was evaluated using the Mann–Whitney U-test. Results: From 26 patient videos, 1 040 images were created (520 SV-VD annotated images and 520 SV-VD non-displayed images). The convolutional neural network model had a Dice similarity coefficient value of 0.73 in the test data. Compared with original videos, videos with the generated segmentation mask promoted significantly faster seminal vesicle and vas deferens recognition (P < .001). Conclusion: The convolutional neural network model provides accurate recognition of the SV-VD in the posterior approach RARP, which may be helpful, especially for novice urologists.

    DOI: 10.1016/j.urology.2022.12.006

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  19. Database-driven patient-specific registration error compensation method for image-guided laparoscopic surgery Invited Reviewed

    Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 18 ( 1 ) page: 63 - 69   2023.1

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    DOI: 10.1007/s11548-022-02804-y

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  20. Computer-Aided Size Estimation of Colorectal Polyps Invited Reviewed

    Hotta K., Itoh H., Mori Y., Misawa M., Mori K., Kudo S.e.

    Techniques and Innovations in Gastrointestinal Endoscopy   Vol. 25 ( 2 ) page: 186 - 188   2023.1

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Techniques and Innovations in Gastrointestinal Endoscopy  

    DOI: 10.1016/j.tige.2022.11.004

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  21. Surgical area recognition from laparoscopic images in laparoscopic gastrectomy for gastric cancer using label smoothing and uncertainty Invited Reviewed

    Yuichiro Hayashi,Kazunari Misawa, Kensaku Mori

    Proc. SPIE 12466   Vol. 12466   2023

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    DOI: 10.1117/12.2654775

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  22. A semantic segmentation method for laparoscopic images using semantically similar groups Invited Reviewed

    Uramoto L., Hayashi Y., Oda M., Kitasaka T., Misawa K., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12466   2023

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    In this paper, we present a segmentation method for laparoscopic images using semantically similar groups for multi-class semantic segmentation. Accurate semantic segmentation is a key problem for computer assisted surgeries. Common segmentation models do not explicitly learn similarities between classes. We propose a model that, in addition to learning to segment an image into classes, also learns to segment it into human-defined semantically similar groups. We modify the LinkNet34 architecture by adding a second decoder with an auxiliary task of segmenting the image into these groups. The feature maps of the second decoder are merged into the final decoder. We validate our method against our base model LinkNet34 and a larger LinkNet50. We find that our proposed modification increased the performance both with mean Dice (average +1.5%) and mean Intersection over Union metrics (average +2.8%) on two laparoscopic datasets.

    DOI: 10.1117/12.2654636

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  23. 膀胱鏡画像におけるtiny-YOLOを用いた腫瘍検出 Invited Reviewed

    牟田口 淳, 小田 昌宏, 猪口 淳一, 森 健策, 江藤 正俊

    生体医工学   Vol. Annual61 ( Abstract ) page: 255_2 - 255_2   2023

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    <p>【背景】膀胱癌は経尿道手術後に再発が多い腫瘍であり、膀胱鏡での腫瘍の見落としが原因とされている。内視鏡での観察は、従来の白色光(WLI)の他に、NBIを使用するが、いずれの腫瘍検出精度は検者の技量・経験に依存するため、検査の再現性・客観性が少ないことが課題である。近年、人工知能(AI)が多くの医療分野で活用されており、AIによる検査は、客観性・再現性を持った上で、エキスパートレベルと同程度の診断能を持つ可能性があるとされている。今回、WLI/NBI膀胱鏡画像を用いて、AIによる腫瘍検出の精度を検証した。【方法】2019年から2021年まで、経尿道的膀胱腫瘍切除術(TURBT)の際に、WLI/NBIを用いて観察を行った症例の手術動画から膀胱鏡画像を作成し、腫瘍を含む画像を腫瘍画像、腫瘍を含まない画像を正常画像と定義した。腫瘍画像内の膀胱腫瘍を矩形でアノテーションを行い、テストデータ用の画像を用いてAIによる感度、特異度、陽性的中率を評価した。AIでの物体検出はtiny-YOLOを用い、腫瘍検出精度の検証を行った。【結果】WLIとNBIから、それぞれ腫瘍画像をそれぞれtiny-YOLOで学習を行い、腫瘍画像(WLI: 525枚、NBI:219枚)と正常画像(WLI:98枚、NBI:108枚)で精度検証を行った。AIによる物体検出の感度/特異度/陽性的中率は、WLIで87.8%/88.8%/97.7%、NBIで82.2%/81.4%/90.0%であった。【結論】膀胱鏡画像において、AIにより比較的良好に腫瘍検出が可能であった。更なる精度改善、リアルタイム検出への課題について、文献的考察を加え報告する。</p>

    DOI: 10.11239/jsmbe.annual61.255_2

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  24. 看護師の職域プレゼンティズム(心身不調)をIoTセンシングで早期検出する Invited Reviewed

    山下 佳子, 大山 慎太郎, 鈴木 輝彦, 坂本 祐二, 出野 義則, 山下 暁士, 赤川 里美, 藤井 晃子, 白鳥 義宗, 森 健策

    生体医工学   Vol. Annual61 ( Abstract ) page: 225_1 - 225_1   2023

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    <p>看護職は心身不調に由来する顕在化していない労働生産性低下状態(プレゼンティズム)が他職種より多く、不規則な勤務形態や強い心身ストレスにより、離職に至る率も高いのが現状である。類似研究は腰痛に注目してウェアラブルデバイスで筋硬度測定によりプレゼンティズム発生を予測するが、性別や運動経験の有無など個人の特性を大きく反映するため予測が難しいと報告がある。そこで本研究では、プレゼンティズムの主な要因で筋骨格系疼痛の原因となる看護行動を、Internet of Things (IoT)センシングで抽出・判別することを目的とする。既設のBLE 屋内測位(AoA法)アンテナを利用した加速度センサデバイスによる看護行動データの収集と、観察者の直接観察による看護行動に対するラベルデータ(看護行動、実施場所、行動の開始・終了時刻を入力)作成を実施した。看護行動は身体プレゼンティズムリスク(腰痛・膝痛・頚肩腕痛)に分類し定義した。1分毎の行動データ(位置情報の平均値、加速度の最大・最小・平均値・標準偏差)、及び時刻を入力データとし、ラベルデータを教師データとして機械学習を行い、行動認識モデルを構築した。看護行動割合は、腰痛43.6%、膝痛3.3%、頚肩腕痛7.4%であった。IoTセンシングで個人ごとのプレゼンティズムに発展する行動をモニタリングすることにより、プレゼンティズムを予防することが可能と示唆された。</p>

    DOI: 10.11239/jsmbe.annual61.225_1

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  25. 医用画像とAI Invited

    森 健策

    カレントテラピー   Vol. 41   page: 79 - 79   2023

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  26. TriMix: A General Framework for Medical Image Segmentation from Limited Supervision Invited Reviewed

    Zheng Z., Hayashi Y., Oda M., Kitasaka T., Mori K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 13846 LNCS   page: 185 - 202   2023

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    We present a general framework for medical image segmentation from limited supervision, reducing the reliance on fully and densely labeled data. Our method is simple, jointly trains triple diverse models, and adopts a mix augmentation scheme, and thus is called TriMix. TriMix imposes consistency under a more challenging perturbation, i.e., combining data augmentation and model diversity on the tri-training framework. This straightforward strategy enables TriMix to serve as a strong and general learner learning from limited supervision using different kinds of imperfect labels. We conduct extensive experiments to show TriMix’s generic purpose for semi- and weakly-supervised segmentation tasks. Compared to task-specific state-of-the-arts, TriMix achieves competitive performance and sometimes surpasses them by a large margin. The code is available at https://github.com/MoriLabNU/TriMix.

    DOI: 10.1007/978-3-031-26351-4_12

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  27. Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging Invited Reviewed

    Wu Y., Oda M., Hayashi Y., Kawamura S., Takebe T., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12468   2023

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    In this paper, we propose a scheme that includes automated extraction of thrombus regions and quantitative analysis of thrombosis in confocal laser scanning microscope (CLSM) blood flow image sequence. Making thrombosis model in animal models play an important role in the development of antithrombotic drugs and ascertaining thrombosis mechanisms. Making thrombosis model in cerebral cortex of mice is usually observed using a CLSM in the fluorescence mode. However, some small changes of thrombus regions are not easily observed in CLSM blood flow image sequences. In addition, it is not easy for researchers to quantitatively analyze the degree of thrombosis. Therefore, we propose a scheme to achieve automatic thrombosis region extraction and quantitative analysis. In which, our thrombosis region extraction method uses analysis of changing pattern of thrombosis regions in CLSM blood flow image sequence. Experimental results showed that our scheme can help biological researchers observe and analyze the changes of thrombosis in animal models and reduced the use of fluorescent thrombus markers.

    DOI: 10.1117/12.2654632

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  28. Real Bronchoscopic Images-based Bronchial Nomenclature: a Preliminary Study Invited Reviewed

    Wang C., Hayashi Y., Oda M., Kitasaka T., Takabatake H., Mori M., Honma H., Natori H., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12466   2023

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    This article describes a method for bronchial nomenclature using real bronchoscopic (RB) images and pre-built knowledge base of branches. The bronchus has a complex tree-like structure, which increases the difficulty of bronchoscopy. Therefore, a bronchoscopic navigation system is used to help physicians during examination. Conventional navigation system used preoperative CT images and real bronchoscopic images to obtain the camera pose for navigation, whose accuracy is influenced by organ deformation. We propose a bronchial nomenclature method to estimate branch names for bronchoscopic navigation. This method consists of a bronchus knowledge base construction model, a camera motion estimation module, an anatomical structure tracking module, and a branch name estimation module. The knowledge base construction module is used to find the relationship of each branch. The anatomical tracking module is used to track the bronchial orifice (BO) extracted in each RB frame. The camera motion estimation module is used to estimate the camera motion between two frames. The branch name estimation module uses the pre-built bronchus knowledge base and BO tracking results to find the name of each branch. Experimental results showed that it is possible to estimate branch names using only RB images and the pre-built knowledge base of branches.

    DOI: 10.1117/12.2654508

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  29. Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI Invited Reviewed

    Hu T., Itoh H., Oda M., Saiki S., Hattori N., Kamagata K., Aoki S., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12464   2023

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    Neuromelanin magnetic resonance imaging (NM-MRI) has been widely used in the diagnosis of Parkinson’s disease (PD) for its significantly enhanced contrast between the PD-related structure, the substantia nigra (SN) and surrounding tissues. To develop the computer-aided diagnosis (CAD) system of PD and reduce the labor burden of clinicians, precise and automatic segmentation of SN is becoming more and more desired. This paper proposes a novel network combining the priority gating attention and Bayesian learning for improving the accuracy of fully automatic SN segmentation from NM-MRI. Different from the conventional gated attention model, the proposed network uses the prior SN probability map for guiding the attention computation and reducing the potential disruptions introduced by the background. Additionally, to lower the risks of over-fitting and estimate the confidence scores for the segmentation results, Bayesian learning with Monte Carlo dropout is applied in the training and testing phases. The quantitative results showed that the proposed network acquired the averaged Dice score of 79.46% in comparison with the baseline model 77.93%.

    DOI: 10.1117/12.2655112

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  30. Octree Cube Constraints in PBD Method for High Resolution Surgical Simulation Invited Reviewed

    Miyazaki R., Hayashi Y., Oda M., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12464   2023

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    This paper proposes a deformable tissue model that introduces octree lattice vertex layout and cubic constraints to the orthodox PBD (Position Based Dynamics) method. Surgical simulation is expected to provide a safe method for training in surgery, which is especially useful for preoperative education of inexperienced surgeons and/or for the case a prior attempt is required. To build a surgical simulator, it is necessary to develop organ models with deformations and interaction algorithms between surgical instruments and organ models, all of which must be performed in real time. Since existing surgical simulators focus on real-time performance, the resolution of organ models is limited. The proposed method restricts the vertex locations of the PBD method to the vertices of the octree lattice to save computation time while maintaining a high deformation resolution. To obtain appropriate results even for large deformations, three-dimensional constraints are applied to each octree cube as the constraints of the PBD method. In the simulations, we tested the overall deformation by dropping a liver model and the local deformation scene by laparoscopic clipping. As a result, we achieved deformation simulations at 26.5 fps for the model with approximately 2,672 cube elements and 20,659 vertices.

    DOI: 10.1117/12.2654092

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  31. Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-Temporal Correspondence Invited Reviewed

    Li W., Hayashi Y., Oda M., Kitasaka T., Misawa K., Mori K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 14228 LNCS   page: 429 - 439   2023

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    This work proposes an innovative self-supervised approach to monocular depth estimation in laparoscopic scenarios. Previous methods independently predicted depth maps ignoring spatial coherence in local regions and temporal correlation between adjacent images. The proposed approach leverages spatio-temporal coherence to address the challenges of textureless areas and homogeneous colors in such scenes. This approach utilizes a multi-view depth estimation model to guide monocular depth estimation when predicting depth maps. Moreover, the minimum reprojection error is extended to construct a cost volume for the multi-view model using adjacent images. Additionally, a 3D consistency of the point cloud back-projected from predicted depth maps is optimized for the monocular depth estimation model. To benefit from spatial coherence, deformable patch-matching is introduced to the monocular and multi-view models to smooth depth maps in local regions. Finally, a cycled prediction learning for view synthesis and relative poses is designed to exploit the temporal correlation between adjacent images fully. Experimental results show that the proposed method outperforms existing methods in both qualitative and quantitative evaluations. Our code is available at https://github.com/MoriLabNU/MGMDepthL.

    DOI: 10.1007/978-3-031-43996-4_41

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  32. Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images Invited Reviewed

    Zhao X., Hayashi Y., Oda M., Kitasaka T., Mori K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 14220 LNCS   page: 663 - 673   2023

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    Semantic segmentation of laparoscopic images is an important issue for intraoperative guidance in laparoscopic surgery. However, acquiring and annotating laparoscopic datasets is labor-intensive, which limits the research on this topic. In this paper, we tackle the Domain-Adaptive Semantic Segmentation (DASS) task, which aims to train a segmentation network using only computer-generated simulated images and unlabeled real images. To bridge the large domain gap between generated and real images, we propose a Masked Frequency Consistency (MFC) module that encourages the network to learn frequency-related information of the target domain as additional cues for robust recognition. Specifically, MFC randomly masks some high-frequency information of the image to improve the consistency of the network’s predictions for low-frequency images and real images. We conduct extensive experiments on existing DASS frameworks with our MFC module and show performance improvements. Our approach achieves comparable results to fully supervised learning method on the CholecSeg8K dataset without using any manual annotation. The code is available at github.com/MoriLabNU/MFC.

    DOI: 10.1007/978-3-031-43907-0_63

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  33. Improved method for COVID-19 Classification of Complex-Architecture CNN from Chest CT volumes using Orthogonal Ensemble Networks Invited Reviewed

    Toda R., Oda M., Hayashi Y., Otake Y., Hashimoto M., Akashi T., Aoki S., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12465   2023

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    This paper introduces the improved method for the COVID-19 classification based on computed tomography (CT) volumes using a combination of a complex-architecture convolutional neural network (CNN) and orthogonal ensemble networks (OEN). The novel coronavirus disease reported in 2019 (COVID-19) is still spreading worldwide. Early and accurate diagnosis of COVID-19 is required in such a situation, and the CT scan is an essential examination. Various computer-aided diagnosis (CAD) methods have been developed to assist and accelerate doctors' diagnoses. Although one of the effective methods is ensemble learning, existing methods combine some major models which do not specialize in COVID-19. In this study, we attempted to improve the performance of a CNN for the COVID-19 classification based on chest CT volumes. The CNN model specializes in feature extraction from anisotropic chest CT volumes. We adopt the OEN, an ensemble learning method considering inter-model diversity, to boost its feature extraction ability. For the experiment, We used chest CT volumes of 1283 cases acquired in multiple medical institutions in Japan. The classification result on 257 test cases indicated that the combination could improve the classification performance.

    DOI: 10.1117/12.2653792

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  34. Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer Invited Reviewed

    Oda M., Zheng T., Hayashi Y., Otake Y., Hashimoto M., Akashi T., Aoki S., Mori K.

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 12465   2023

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    This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, causing a large number of infected patients and deaths. Sudden increase in the number of COVID-19 patients causes a manpower shortage in medical institutions. Computer-aided diagnosis (CAD) system provides quick and quantitative diagnosis results. CAD system for COVID-19 enables efficient diagnosis workflow and contributes to reduce such manpower shortage. In image-based diagnosis of viral pneumonia cases including COVID-19, both local and global image features are important because viral pneumonia cause many ground glass opacities and consolidations in large areas in the lung. This paper proposes an automated classification method of chest CT volumes for COVID-19 diagnosis assistance. MLP-Mixer is a recent method of image classification using Vision Transformer-like architecture. It performs classification using both local and global image features. To classify 3D CT volumes, we developed a hybrid classification model that consists of both a 3D convolutional neural network (CNN) and a 3D version of the MLP-Mixer. Classification accuracy of the proposed method was evaluated using a dataset that contains 1205 CT volumes and obtained 79.5% of classification accuracy. The accuracy was higher than that of conventional 3D CNN models consists of 3D CNN layers and simple MLP layers.

    DOI: 10.1117/12.2654706

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  35. Automated Detection of the Thoracic Ossification of the Posterior Longitudinal Ligament Using Deep Learning and Plain Radiographs. Invited Reviewed

    Ito S, Nakashima H, Segi N, Ouchida J, Oda M, Yamauchi I, Oishi R, Miyairi Y, Mori K, Imagama S

    BioMed research international   Vol. 2023   page: 8495937   2023

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    Ossification of the ligaments progresses slowly in the initial stages, and most patients are unaware of the disease until obvious myelopathy symptoms appear. Consequently, treatment and clinical outcomes are not satisfactory. This study is aimed at developing an automated system for the detection of the thoracic ossification of the posterior longitudinal ligament (OPLL) using deep learning and plain radiography. We retrospectively reviewed the data of 146 patients with thoracic OPLL and 150 control cases without thoracic OPLL. Plain lateral thoracic radiographs were used for object detection, training, and validation. Thereafter, an object detection system was developed, and its accuracy was calculated. The performance of the proposed system was compared with that of two spine surgeons. The accuracy of the proposed object detection model based on plain lateral thoracic radiographs was 83.4%, whereas the accuracies of spine surgeons 1 and 2 were 80.4% and 77.4%, respectively. Our findings indicate that our automated system, which uses a deep learning-based method based on plain radiographs, can accurately detect thoracic OPLL. This system has the potential to improve the diagnostic accuracy of thoracic OPLL.

    DOI: 10.1155/2023/8495937

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  36. AI画像解析による内視鏡外科手術手技のビデオ評価及び手術支援システムの構築 Invited Reviewed

    安井 昭洋, 内田 広夫, 森 健策, 石田 昇平, 出家 亨一, 檜 顕成, 城田 千代栄, 小田 昌宏, 林 雄一郎

    生体医工学   Vol. Annual61 ( Abstract ) page: 127_2 - 127_2   2023

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    <p>【はじめに】術後成長発達する小児患者にとって、低侵襲手術は非常に重要である。しかし患者数は限られているため、しっかりとした手術を行うためにoff the job-training(OJT)が重要である。さらにOJTでの効率的な手技獲得には、手技を客観的に評価しfeed backを行うシステムが必須である。また安全で効率的な内視鏡手術を行うためには、臓器の位置関係の把握が必要であるため、術中ナビゲーションは重要な要件となる。これらの課題に対して、AIを用いた内視鏡手技評価および手術支援システムの構築に着手しており現状の成果を報告する。【方法と結果】食道閉鎖症モデルを用いた吻合手技を被験者に課し、各被験者の手技を最初に人の目で「check 表」「エラー項目」「時間」を用いて評価した。次にビデオから検出した鉗子の動きと人が判定した手技優劣の関係性をAIで学習させ、上位88%・下位95%の精度で手技優劣が自動判定可能となった。この結果を解析することで今まで必要だった50項目以上の肉眼チェックが、わずか7項目チェックするだけで手技の優劣を判断できることが明らかになった。現在食道閉鎖症の手術画像を用いて、食道・迷走神経・気管を深層学習させ、各種構造物の自動認識を進めている。【まとめ】AI画像解析により内視鏡手技の優劣をビデオで判定可能となった。この結果から新たに効率的な手技判断基準を定めることができた。術中ナビゲーションは現在精度のさらなる向上を目指している。</p>

    DOI: 10.11239/jsmbe.annual61.127_2

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  37. Anatomy Aware-based 2.5D Bronchoscope Tracking for Image-guided Bronchoscopic Navigation Invited Reviewed

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itto, Hirotoshi honma,Hirotsugu takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization     2022.12

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    DOI: 10.1080/21681163.2022.2152728

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  38. Surgical Assistance in Laparoscopic Surgery Using AI Invited Reviewed

    HAYASHI Yuichiro, MORI Kensaku

    Medical Imaging Technology   Vol. 40 ( 4 ) page: 164 - 169   2022.9

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society of Medical Imaging Technology  

    <p>Laparoscopic surgery is currently performed as one of surgical procedures for various organs. Laparoscopic surgery requires highly skill of surgeon. Therefore, computer aided surgery which is used computer technology for assisting surgery has been researched. These assistances are sometimes referred as surgical navigation. In recent year, as the development of AI (Artificial Intelligence) technology, there are many researches on laparoscopic video analysis using deep learning for assisting laparoscopic surgery. In this paper, we introduce our researches about laparoscopic video analysis using AI.</p>

    DOI: 10.11409/mit.40.164

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  39. AI for VR Invited Reviewed

    森 健策

    日本VR医学会学術大会プログラム・抄録集   Vol. 2022 ( 0 ) page: 9 - 9   2022.8

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:日本VR医学会  

    DOI: 10.24764/jsmvr.2022.0_9

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  40. BONE MARROW EDEMA SCORE IN HAND X-RAY FILM BY AI DEEP LEARNING ASSOCIATE WITH MRI BONE EDEMA IN RHEUMATOID ARTHRITIS. Invited Reviewed

    Katayama, K; Pan, D; Oda, M; Okubo, T; Mori, K

    ANNALS OF THE RHEUMATIC DISEASES   Vol. 81   page: 1773 - 1774   2022.6

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    DOI: 10.1136/annrheumdis-2022-eular.933

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  41. 30年間の医用画像研究経験を振り返り未来を考える Invited Reviewed

    森 健策

    情報・システムソサイエティ誌   Vol. 27 ( 1 ) page: 16 - 17   2022.5

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人電子情報通信学会  

    DOI: 10.1587/ieiceissjournal.27.1_16

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  42. Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation Reviewed

    Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization   Vol. 10 ( 3 ) page: 266 - 273   2022.5

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  43. Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination Invited Reviewed

    Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Ito, Kinichi Hotta, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization   Vol. 10 ( 3 ) page: 289 - 298   2022.5

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  44. Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos Reviewed

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization   Vol. 10 ( 3 ) page: 274 - 282   2022.5

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  45. SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss Reviewed

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

    Journal of Medical Imaging   Vol. 9 ( 2 ) page: 024003-1 - 28   2022.4

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  46. Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines. Invited Reviewed

    Kitaguchi D, Watanabe Y, Madani A, Hashimoto DA, Meireles OR, Takeshita N, Mori K, Ito M, Computer Vision in Surgery International Collaborative.

    Annals of surgery   Vol. 275 ( 4 ) page: e609 - e611   2022.4

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    DOI: 10.1097/SLA.0000000000005319

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  47. Evaluation in real-time use of artificial intelligence during colonoscopy to predict relapse of ulcerative colitis: a prospective study Invited Reviewed

    Yasuharu Maeda, Shin-ei Kudo, Noriyuki Ogata, Masashi Misawa, Marietta Iacucci, Mayumi Homma, Tetsuo Nemoto, Kazumi Takishima, Kentaro Mochida, Hideyuki Miyachi, Toshiyuki Baba, Kensaku Mori, Kazuo Ohtsuka, Yuichi Mori

    Gastrointestinal Endoscopy     2022.4

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  48. Artificial Intelligence-Based Total Mesorectal Excision Plane Navigation in Laparoscopic Colorectal Surgery. Invited Reviewed

    Igaki T, Kitaguchi D, Kojima S, Hasegawa H, Takeshita N, Mori K, Kinugasa Y, Ito M

    Diseases of the colon and rectum     2022.2

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    DOI: 10.1097/DCR.0000000000002393

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  49. A cascaded fully convolutional network framework for dilated pancreatic duct segmentation Invited Reviewed

    Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17 ( 2 ) page: 343 - 354   2022.2

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    DOI: 10.1007/s11548-021-02530-x

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  50. impact of the clinical use of artificial intelligence-assisted neoplasia detection for colonoscopy: a large-scale prospective, propensity score-matched study (with video) Reviewed

    Misaki Ishiyama, Shin-ei Kudo, Masashi Misawa, Yuichi Mori, Yasuharu Maeda, Katsuro Ichimasa, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori

      Vol. 95 ( 1 ) page: 155 - 163   2022.1

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    DOI: 10.1016/j.gie.2021.07.022

  51. Joint multi organ and tumor segmentation from partial labels using federated learning Invited Reviewed

    Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chin Liao, Chiou-Shann Fuh, Kensaku Mori , Weichung Wang, Holger R. Roth

    ,LNCS 13573   Vol. 13573   page: 58 - 67   2022

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    DOI: 10.1007/978-3-031-18523-6_6

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  52. Depth-based branching level estimation for bronchoscopic navigation Invited Reviewed

    Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori , Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( 10 ) page: 1795 - 1804   2021.10

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    DOI: 10.1007/s11548-021-02460-8

    DOI: 10.1007/s11548-021-02460-8

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  53. Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now? Invited Reviewed

    Kudo Shin-Ei, Mori Yuichi, Abdel-aal Usama M., Misawa Masashi, Itoh Hayato, Oda Masahiro, Mori Kensaku

    TRANSLATIONAL GASTROENTEROLOGY AND HEPATOLOGY   Vol. 6   page: 64   2021.10

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    Computer-aided diagnosis (CAD) for colonoscopy with use of artificial intelligence (AI) is catching increased attention of endoscopists. CAD allows automated detection and pathological prediction, namely optical biopsy, of colorectal polyps during real-time endoscopy, which help endoscopists avoid missing and/or misdiagnosing colorectal lesions. With the increased number of publications in this field and emergence of the AI medical device that have already secured regulatory approval, CAD in colonoscopy is now being implemented into clinical practice. On the other side, drawbacks and weak points of CAD in colonoscopy have not been thoroughly discussed. In this review, we provide an overview of CAD for optical biopsy of colorectal lesions with a particular focus on its clinical applications and limitations.

    DOI: 10.21037/tgh.2019.12.14

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  54. Deep learning system for automatic detection of bladder tumors in cystoscopic images Invited Reviewed

    Mutaguchi J., Oda M., Ueda S., Kinoshita F., Naganuma H., Matsumoto T., Lee K., Monji K., Kashiwagi K., Takeuchi A., Shiota M., Inokuchi J., Mori K., Eto M.

    EUROPEAN UROLOGY   Vol. 79   page: S1022 - S1023   2021.6

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  55. Development of Diagnosis Assistant AI for COVID-19 Patients Invited Reviewed

    ODA Masahiro, ZHENG Tong, HAYASHI Yuichiro, MORI Kensaku

    Medical Imaging Technology   Vol. 39 ( 1 ) page: 13 - 19   2021.1

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    <p>We introduce AIs for diagnosis assistance of COVID-19 patients from CT volumes that were developed in Nagoya University. Novel coronavirus disease 2019(COVID-19)spreads over the world causing the large number of infected patients and deaths. Diagnosis assistance by AI is effective for diagnosing the large number of patients that are caused by infective diseases. We developed diagnosis assistant AIs for COVID-19 cases that evaluate the typical-ness of COVID-19 case based on image appearances from a CT volume. We developed three essential methods for the AIs including the lung region segmentation method, the clustering method of lung region, and the COVID-19 typical-ness evaluation method. To develop the AIs, we utilized huge number of medical images stored in the cloud platform of medical bigdata. We confirmed our AI has high performance for diagnosis assistance in the evaluations using CT volumes of real COVID-19 patients.</p>

    DOI: 10.11409/mit.39.13

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  56. Automated Detection of Spinal Schwannomas Utilizing Deep Learning Based on Object Detection from MRI Invited Reviewed International coauthorship

    Sadayuki Ito, Kei Ando, Kazuyoshi Kobayashi, Hiroaki Nakashima Masahiro Oda, Masaaki Machino, Shunsuke Kanbara, Taro Inoue, Hidetoshi Yamaguchi, Hiroyuki Koshimizu, Kensaku Mori, Naoki Ishiguro, Shiro Imagama

    Spine   Vol. 46 ( 2 ) page: 95 - 100   2021.1

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    DOI: 10.1097/BRS.0000000000003749

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  57. Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation Invited Reviewed

    Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization     2021

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    DOI: 10.1080/21681163.2021.2012835

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  58. Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images Invited Reviewed

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling   Vol. 11598   2021

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    DOI: 10.1117/12.2582348

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  59. Bronchial orifice segmentation on bronchoscopic video frames based on generative adversarial depth estimation Invited Reviewed

    Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

    Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling   Vol. 11598   page: 115980N-1 - 7   2021

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    DOI: 10.1117/12.2582341

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  60. COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty Invited Reviewed

    Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

    LNCS12969   Vol. 12969 LNCS   page: 88 - 97   2021

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    DOI: 10.1007/978-3-030-90874-4_9

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  61. Attention-guided pancreatic duct segmentation from abdominal CT volumes Invited Reviewed

    Chen Shen, Holger Roth, Yuichiro Hayashi, Masahiro Oda, Takaaki Miyamoto, Gen Sato, Kensaku Mori

    LNCS12969   Vol. 12969 LNCS   page: 46 - 55   2021

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    DOI: 10.1007/978-3-030-90874-4_5

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  62. CURRENT STATUS AND FUTURE PERSPECTIVE ON ARTIFICIAL INTELLIGENCE FOR LOWER ENDOSCOPY Invited Reviewed

    MISAWA Masashi, KUDO Shin-ei, MORI Yuichi, MAEDA Yasuharu, OGAWA Yushi, ICHIMASA Katsuro, KUDO Toyoki, WAKAMURA Kunihiko, HAYASHI Takemasa, MIYACHI Hideyuki, BABA Toshiyuki, ISHIDA Fumio, ITOH Hayato, ODA Masahiro, MORI Kensaku

    GASTROENTEROLOGICAL ENDOSCOPY   Vol. 63 ( 7 ) page: 1402 - 1416   2021

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Gastroenterological Endoscopy Society  

    <p>The global incidence and mortality rate of colorectal cancer remains high. Colonoscopy is regarded as the gold standard examination for detecting and eradicating neoplastic lesions. However, there are some uncertainties in colonoscopy practice that are related to limitations in human performance. First, approximately one-fourth of colorectal neoplasms are missed on a single colonoscopy. Second, it is still difficult for nonexperts to perform adequately regarding optical biopsy. Third, recording of some quality indicators (e.g. cecal intubation, bowel preparation, and withdrawal speed) which are related to adenoma detection rate, is sometimes incomplete. With recent improvements in machine learning techniques and advances in computer performance, artificial intelligence-assisted computer-aided diagnosis is being increasingly utilized by endoscopists. In particular, the emergence of deep-learning, data-driven machine learning techniques have made the development of computer-aided systems easier than that of conventional machine learning techniques, the former currently being considered the standard artificial intelligence engine of computer-aided diagnosis by colonoscopy. To date, computer-aided detection systems seem to have improved the rate of detection of neoplasms. Additionally, computer-aided characterization systems may have the potential to improve diagnostic accuracy in real-time clinical practice. Furthermore, some artificial intelligence-assisted systems that aim to improve the quality of colonoscopy have been reported. The implementation of computer-aided system clinical practice may provide additional benefits such as helping in educational poorly performing endoscopists and supporting real-time clinical decision-making. In this review, we have focused on computer-aided diagnosis during colonoscopy reported by gastroenterologists and discussed its status, limitations, and future prospects.</p>

    DOI: 10.11280/gee.63.1402

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  63. Clinical and Genetic Characteristics of 18 Patients from 13 Japanese Families with CRX-associated retinal disorder: Identification of Genotype-phenotype Association Invited Reviewed

    Fujinami-Yokokawa Y., Fujinami K., Kuniyoshi K., Hayashi T., Ueno S., Mizota A., Shinoda K., Arno G., Pontikos N., Yang L., Liu X., Sakuramoto H., Katagiri S., Mizobuchi K., Kominami T., Terasaki H., Nakamura N., Kameya S., Yoshitake K., Miyake Y., Kurihara T., Tsubota K., Miyata H., Iwata T., Tsunoda K., Nishimura T., Hayashizaki Y., Kondo M., Shimozawa N., Horiguchi M., Yamamoto S., Kuze M., Naoi N., Machida S., Shimada Y., Nakamura M., Fujikado T., Hotta Y., Takahashi M., Mochizuki K., Murakami A., Kondo H., Ishida S., Nakazawa M., Hatase T., Matsunaga T., Maeda A., Noda K., Tanikawa A., Yamamoto S., Yamamoto H., Araie M., Aihara M., Nakazawa T., Sekiryu T., Kashiwagi K., Kosaki K., Piero C., Fukuchi T., Hayashi A., Hosono K., Mori K., Tanaka K., Furuya K., Suzuki K., Kohata R., Yanagi Y., Minegishi Y., Iejima D., Suga A., Rossmiller B.P., Pan Y., Oshima T., Nakayama M., Teruyama Y., Yamamoto M., Minematsu N., Sanbe H., Mori D., Kijima Y., Mawatari G., Kurata K., Yamada N., Itoh M., Kawaji H., Murakawa Y.

    Scientific Reports   Vol. 10 ( 1 )   2020.12

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    Inherited retinal disorder (IRD) is a leading cause of blindness, and CRX is one of a number of genes reported to harbour autosomal dominant (AD) and recessive (AR) causative variants. Eighteen patients from 13 families with CRX-associated retinal disorder (CRX-RD) were identified from 730 Japanese families with IRD. Ophthalmological examinations and phenotype subgroup classification were performed. The median age of onset/latest examination was 45.0/62.5 years (range, 15–77/25–94). The median visual acuity in the right/left eye was 0.52/0.40 (range, −0.08–2.00/−0.18–1.70) logarithm of the minimum angle of resolution (LogMAR) units. There was one family with macular dystrophy, nine with cone-rod dystrophy (CORD), and three with retinitis pigmentosa. In silico analysis of CRX variants was conducted for genotype subgroup classification based on inheritance and the presence of truncating variants. Eight pathogenic CRX variants were identified, including three novel heterozygous variants (p.R43H, p.P145Lfs*42, and p.P197Afs*22). A trend of a genotype-phenotype association was revealed between the phenotype and genotype subgroups. A considerably high proportion of CRX-RD in ADCORD was determined in the Japanese cohort (39.1%), often showing the mild phenotype (CORD) with late-onset disease (sixth decade). Frequently found heterozygous missense variants located within the homeodomain underlie this mild phenotype. This large cohort study delineates the disease spectrum of CRX-RD in the Japanese population.

    DOI: 10.1038/s41598-020-65737-z

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  64. Clinical characteristics in patients with ossification of the posterior longitudinal ligament: A prospective multi-institutional cross-sectional study Invited Reviewed

    Hirai T., Yoshii T., Ushio S., Mori K., Maki S., Katsumi K., Nagoshi N., Takeuchi K., Furuya T., Watanabe K., Nishida N., Watanabe K., Kaito T., Kato S., Nagashima K., Koda M., Ito K., Imagama S., Matsuoka Y., Wada K., Kimura A., Ohba T., Katoh H., Matsuyama Y., Ozawa H., Haro H., Takeshita K., Watanabe M., Matsumoto M., Nakamura M., Yamazaki M., Okawa A., Kawaguchi Y.

    Scientific Reports   Vol. 10 ( 1 )   2020.12

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    Ossification of the posterior longitudinal ligament (OPLL) can occur throughout the entire spine and can sometimes lead to spinal disorder. Although patients with OPLL sometimes develop physical limitations because of pain, the characteristics of pain and effects on activities of daily living (ADL) have not been precisely evaluated in OPLL patients. Therefore, we conducted a multi-center prospective study to assess whether the symptoms of cervical OPLL are different from those of cervical spondylosis (CS). A total of 263 patients with a diagnosis of cervical OPLL and 50 patients with a diagnosis of CS were enrolled and provided self-reported outcomes, including responses to the Japanese Orthopaedic Association (JOA) Cervical Myelopathy Evaluation Questionnaire (JOACMEQ), JOA Back Pain Evaluation Questionnaire (JOABPEQ), visual analog scale (VAS), and SF-36 scores. The severity of myelopathy was significantly correlated with each domain of the JOACMEQ and JOABPEQ. There was a negative correlation between the VAS score for each domain and the JOA score. There were significantly positive correlations between the JOA score and the Mental Health, Bodily Pain, Physical Functioning, Role Emotional, and Role Physical domains of the SF-36. One-to-one matching resulted in 50 pairs of patients with OPLL and CS. Although there was no significant between-group difference in scores in any of the domains of the JOACMEQ or JOABPEQ, the VAS scores for pain or numbness in the buttocks or limbs were significantly higher in the CS group; however, there was no marked difference in low back pain, chest tightness, or numbness below the chest between the two study groups. The scores for the Role Physical and Body Pain domains of the SF-36 were significantly higher in the OPLL group than in the CS group, and the mean scores for the other domains was similar between the two groups. The results of this study revealed that patients with OPLL were likely to have neck and low back pain and restriction in ADL. No specific type of pain was found in patients with OPLL when compared with those who had CS.

    DOI: 10.1038/s41598-020-62278-3

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  65. Synthetic laparoscopic video generation for machine learning-based surgical instrument segmentation from real laparoscopic video and virtual surgical instruments Reviewed International coauthorship

    Takuya Ozawa,Yuichiro Hayashi,Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization     2020.11

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    DOI: https://doi.org/10.1080/21681163.2020.1835560

  66. Clinical impact of Endoscopic Surgical Skill Qualification System (ESSQS) by Japan Society for Endoscopic Surgery (JSES) for laparoscopic distal gastrectomy and low anterior resection based on the National Clinical Database (NCD) registry. Invited Reviewed

    Akagi T, Endo H, Inomata M, Yamamoto H, Mori T, Kojima K, Kuroyanagi H, Sakai Y, Nakajima K, Shiroshita H, Etoh T, Saida Y, Yamamoto S, Hasegawa H, Ueno H, Kakeji Y, Miyata H, Kitagawa Y, Watanabe M

    Annals of gastroenterological surgery   Vol. 4 ( 6 ) page: 721 - 734   2020.11

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    DOI: 10.1002/ags3.12384

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  67. A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation Invited Reviewed

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Benjamin Villard, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 10 ) page: 1619 - 1630   2020.10

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    DOI: 10.1007/s11548-020-02241-9

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  68. Station number assignment to abdominal lymph node for assisting gastric cancer surgery Reviewed

    Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization     2020.10

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    DOI: https://doi.org/10.1080/21681163.2020.1835543

  69. A deformable model for navigated laparoscopic gastrectomy based on finite elemental method Invited Reviewed

    Chen Tao, Wei Guodong, Xu Lili, Shi Weili, Xu Yikai, Zhu Yongyi, Hayashi Yuichiro, Oda Hirohisa, Oda Masahiro, Hu Yanfeng, Yu Jiang, Jiang Zhengang, Li Guoxin, Mori Kensaku

    MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES   Vol. 29 ( 4 ) page: 210 - 216   2020.7

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    Background: Accurate registration for surgical navigation of laparoscopic surgery is highly challenging due to vessel deformation. Here, we describe the design of a deformable model with improved matching accuracy by applying the finite element method (FEM). Material and methods: ANSYS software was used to simulate an FEM model of the vessel after pull-up based on laparoscopic gastrectomy requirements. The central line of the FEM model and the central line of the ground truth were drawn and compared. Based on the material and parameters determined from the animal experiment, a perigastric vessel FEM model of a gastric cancer patient was created, and its accuracy in a laparoscopic gastrectomy surgical scene was evaluated. Results: In the animal experiment, the FEM model created with Ogden foam material exhibited better results. The average distance between the two central lines was 6.5mm, and the average distance between their closest points was 3.8 mm. In the laparoscopic gastrectomy surgical scene, the FEM model and the true artery deformation demonstrated good coincidence. Conclusion: In this study, a deformable vessel model based on FEM was constructed using preoperative CT images to improve matching accuracy and to supply a reference for further research on deformation matching to facilitate laparoscopic gastrectomy navigation.

    DOI: 10.1080/13645706.2019.1625926

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  70. Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research Invited Reviewed

    Kitaguchi Daichi, Takeshita Nobuyoshi, Matsuzaki Hiroki, Oda Tatsuya, Watanabe Masahiko, Mori Kensaku, Kobayashi Etsuko, Ito Masaaki

    INTERNATIONAL JOURNAL OF SURGERY   Vol. 79   page: 88 - 94   2020.7

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    Background: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study aimed to construct a large annotated dataset comprising laparoscopic colorectal surgery (LCRS) videos from multiple institutions and evaluate the accuracy of automatic recognition for surgical phase, action, and tool by combining this dataset with AI. Materials and methods: A total of 300 intraoperative videos were collected from 19 high-volume centers. A series of surgical workflows were classified into 9 phases and 3 actions, and the area of 5 tools were assigned by painting. More than 82 million frames were annotated for a phase and action classification task, and 4000 frames were annotated for a tool segmentation task. Of these frames, 80% were used for the training dataset and 20% for the test dataset. A convolutional neural network (CNN) was used to analyze the videos. Intersection over union (IoU) was used as the evaluation metric for tool recognition. Results: The overall accuracies for the automatic surgical phase and action classification task were 81.0% and 83.2%, respectively. The mean IoU for the automatic tool segmentation task for 5 tools was 51.2%. Conclusions: A large annotated dataset of LCRS videos was constructed, and the phase, action, and tool were recognized with high accuracy using AI. Our dataset has potential uses in medical applications such as automatic video indexing and surgical skill assessments. Open research will assist in improving CNN models by making our dataset available in the field of computer vision.

    DOI: 10.1016/j.ijsu.2020.05.015

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  71. Artificial intelligence for magnifying endoscopy, endocytoscopy, and confocal laser endomicroscopy of the colorectum Invited Reviewed

    Mori, Y; Kudo, SE; Misawa, M; Itoh, H; Oda, M; Mori, K

    TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY   Vol. 22 ( 2 ) page: 56 - 60   2020.4

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    Because magnifying endoscopy is considered to be more accurate at predicting the histology of colorectal polyps than nonmagnifying endoscopy, it has been attracting a lot of attention, especially in Japan. However, use of magnifying endoscopy is not yet widespread because of its limited availability and the difficulty in interpreting the acquired images. Application of artificial intelligence (AI) is now changing this situation because it helps less-skilled endoscopists to accurately interpret magnified images. Research in this field initially focused on magnifying endoscopy with narrow-band imaging as the target of AI. Most previously published retrospective studies have reported over 90% sensitivity in differentiation of neoplastic lesions; however, automatically indicating the region of interest (ROI) of the polyps that AI should analyze has been found to be challenging. To address this practical problem, some researchers have started to adopt contact endomicroscopy as a target for AI. Contact endomicroscopy includes endocytoscopy (520-fold magnification, Olympus, Tokyo, Japan) and confocal laser endomicroscopy (1000-fold magnification, Mauna Kea, Paris, France). These forms of contact endomicroscopy provide ultramagnified images that make it unnecessary to manually select the ROI because the entire image acquired by contact endomicroscopy is the ROI of the targeted polyps. This strength of contact endomicroscopy has contributed to early implementation of this technology into clinical practice, which may change the utility of magnifying endoscopy in clinical settings and help increase its use globally in the near future.

    DOI: 10.1016/j.tgie.2019.150632

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  72. Clinical application of a surgical navigation system based on virtual thoracoscopy for lung cancer patients: real time visualization of area of lung cancer before induction therapy and optimal resection line for obtaining a safe surgical margin during surgery Invited Reviewed

    Nakamura Shota, Hayashi Yuichiro, Kawaguchi Koji, Fukui Takayuki, Hakiri Shuhei, Ozeki Naoki, Mori Shunsuke, Goto Masaki, Mori Kensaku, Yokoi Kohei

    JOURNAL OF THORACIC DISEASE   Vol. 12 ( 3 ) page: 672 - 679   2020.3

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    Background: We have developed a surgical navigation system that presents virtual thoracoscopic images using computed tomography (CT) image data, as if you are observing intra-thoracic cavity in synchronization with the real thoracoscopic view. Using this system, we made it possible to simultaneously visualize the ‘area of lung cancer before induction therapy’ and the ‘optimal resection line for obtaining a safe surgical margin’ as a virtual thoracoscopic view. We applied this navigation system in the clinical setting in operations for lung cancer patients with chest wall invasion after induction chemoradiotherapy. Methods: The proposed surgical navigation system consisted of a three-dimensional (3D) positional tracker and a virtual thoracoscopy system. The 3D positional tracker was used to recognize the positional information of the real thoracoscope. The virtual thoracoscopy system generated virtual thoracoscopic views based on CT image data. Combined with these two technologies, patient-to-image registration was performed in two patients, and the results generated a virtual thoracoscopic view that was synchronized with the real thoracoscopic view. Results: The operations were started with video-assisted thoracic surgery (VATS), and the navigation system was activated at the same time. The virtual thoracoscopic view was synchronized with the real thoracoscopic view, which also simultaneously indicated the ‘area of lung cancer before induction therapy’ and the ‘optimal resection lines for obtaining a safe surgical margin’. We marked the optimal lines using an electric scalpel, and then performed lobectomy and chest wall resection with a sufficient surgical margin using these landmarks. Pathological examinations confirmed that the surgical margin was negative. No complications related to the navigation system were encountered during or after the procedures. Conclusions: Using this proposed navigation system, we could obtain a ‘CT-derived virtual intrathoracic 3D view of the patient’ that was aligned with the thoracoscopic view during surgery. The accurate identification of areas of cancer invasion before induction therapy using this system might be a useful for determining optimal surgical resection lines.

    DOI: 10.21037/jtd.2019.12.108

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  73. Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation Reviewed International coauthorship

    Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori

    Medical Image Analysis   Vol. 60   page: 101623   2020.2

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    DOI: 10.1016/j.media.2019.101623

  74. [Pharmacological action and clinical effect of tedizolid phosphate (SIVEXTRO<sup>®</sup> Tablets 200 mg, for iv infusion 200 mg), a novel oxazolidinone-class antibacterial drug]. Invited Reviewed

    Mori M, Takase A

    Nihon yakurigaku zasshi. Folia pharmacologica Japonica   Vol. 155 ( 5 ) page: 332 - 339   2020

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    DOI: 10.1254/fpj.20013

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  75. 3Dプリンティングの最新動向 Invited

    森 健策

    インナービジョン   Vol. 35   page: 36 - 37   2020

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  76. Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique Invited Reviewed

    Oda Masahiro, Yamaguchi Takefumi, Fukuoka Hideki, Ueno Yuta, Mori Kensaku

    MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS   Vol. 11314   2020

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    This paper presents an automated classification method of infective and non-infective diseases from anterior eye images. Treatments for cases of infective and non-infective diseases are different. Distinguishing them from anterior eye images is important to decide a treatment plan. Ophthalmologists distinguish them empirically. Quantitative classification of them based on computer assistance is necessary. We propose an automated classification method of anterior eye images into cases of infective or non-infective disease. Anterior eye images have large variations of the eye position and brightness of illumination. This makes the classification difficult. If we focus on the cornea, positions of opacified areas in the corneas are different between cases of the infective and non-infective diseases. Therefore, we solve the anterior eye image classification task by using an object detection approach targeting the cornea. This approach can be said as "anatomical structure focused image classification". We use the YOLOv3 object detection method to detect corneas of infective disease and corneas of non-infective disease. The detection result is used to define a classification result of an image. In our experiments using anterior eye images, 88.3% of images were correctly classified by the proposed method.

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  77. Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Invited Reviewed

    Wang P., Shen C., Roth H.R., Yang D., Xu D., Oda M., Misawa K., Chen P.T., Liu K.L., Liao W.C., Wang W., Mori K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 12444 LNCS   page: 192 - 200   2020

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    The performance of deep learning based methods strongly relies on the number of datasets used for training. Many efforts have been made to increase the data in the medical image analysis field. However, unlike photography images, it is hard to generate centralized databases to collect medical images because of numerous technical, legal, and privacy issues. In this work, we study the use of federated learning between two institutions in a real-world setting to collaboratively train a model without sharing the raw data across national boundaries. We quantitatively compare the segmentation models obtained with federated learning and local training alone. Our experimental results show that federated learning models have higher generalizability than standalone training.

    DOI: 10.1007/978-3-030-60548-3_19

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  78. Abdominal artery segmentation method from CT volumes using fully convolutional neural network Invited Reviewed

    Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori,

    International Journal of Computer Assisted Radiology and Surgery   Vol. 14 ( 12 ) page: 2069 - 2081   2019.12

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    DOI: 10.1007/s11548-019-02062-5

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  79. A view of three dimensional unit structures of alveoli in peripheral lung Invited Reviewed

    Natori Hiroshi, Takabatake Hirotsugu, Mori Masaki, Oda Masahiro, Mori Kensaku, Koba Hiroyuki, Takahashi Hiroki

    EUROPEAN RESPIRATORY JOURNAL   Vol. 54   2019.9

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    DOI: 10.1183/13993003.congress-2019.PA3168

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  80. ARTIFICIAL INTELLIGENCE-ASSISTED POLYP DETECTION SYSTEM FOR COLONOSCOPY, BASED ON THE LARGEST AVAILABLE COLLECTION OF CLINICAL VIDEO DATA FOR MACHINE LEARNING Invited Reviewed

    Misawa Masashi, Kudo Shinei, Mori Yuichi, Cho Tomonari, Kataoka Shinichi, Maeda Yasuharu, Ogawa Yushi, Takeda Kenichi, Nakamura Hiroki, Ichimasa Katsuro, Toyoshima Naoya, Ogata Noriyuki, Kudo Toyoki, Hisayuki Tomokazu, Hayashi Takemasa, Wakamura Kunihiko, Baba Toshiyuki, Ishida Fumio, Itoh Hayato, Oda Masahiro, Mori Kensaku

    GASTROINTESTINAL ENDOSCOPY   Vol. 89 ( 6 ) page: AB646 - AB647   2019.6

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  81. Development of a new laparoscopic detection system for gastric cancer using near-infrared light-emitting clips with glass phosphor Invited Reviewed

    Inada S., Nakanishi H., Oda M., Mori K., Ito A., Hasegawa J., Misawa K., Fuchi S.

    Micromachines   Vol. 10 ( 2 )   2019.1

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    Laparoscopic surgery is now a standard treatment for gastric cancer. Currently, the location of the gastric cancer is identified during laparoscopic surgery via the preoperative endoscopic injection of charcoal ink around the primary tumor; however, the wide spread of injected charcoal ink can make it difficult to accurately visualize the specific site of the tumor. To precisely identify the locations of gastric tumors, we developed a fluorescent detection system comprising clips with glass phosphor (Yb 3+ , Nd 3+ doped to Bi 2 O 3 -B 2 O 3 -based glasses, size: 2 mm × 1 mm × 3 mm) fixed in the stomach and a laparoscopic fluorescent detection system for clip-derived near-infrared (NIR) light (976 nm). We conducted two ex vivo experiments to evaluate the performance of this fluorescent detection system in an extirpated pig stomach and a freshly resected human stomach and were able to successfully detect NIR fluorescence emitted from the clip in the stomach through the stomach wall by the irradiation of excitation light (λ: 808 nm). These results suggest that the proposed combined NIR light-emitting clip and laparoscopic fluorescent detection system could be very useful in clinical practice for accurately identifying the location of a primary gastric tumor during laparoscopic surgery.

    DOI: 10.3390/mi10020081

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  82. Automated Hand Eye Calibration in Laparoscope Holding Robot for Robot Assisted Surgery Invited Reviewed

    Jiang Shuai, Hayashi Yuichiro, Wang Cheng, Oda Masahiro, Kitasaka Takayuki, Misawa Kazunari, Mori Kensaku

    INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019   Vol. 11049   2019

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    DOI: 10.1117/12.2521618

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  83. Colonoscope tracking method based on shape estimation network Invited Reviewed

    Oda Masahiro, Roth Holger R., Kitasaka Takayuki, Furukawa Kazuhiro, Miyahara Ryoji, Hirooka Yoshiki, Navab Nassir, Mori Kensaku

    MEDICAL IMAGING 2019: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING   Vol. 10951   2019

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    This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or early-stage cancers are found, they are removed in a colonoscopic examination. In the colonoscopic examination, understanding where the colonoscope running in the colon is difficult. A colonoscope navigation system is necessary to reduce overlooking of polyps. We propose a colonoscope tracking method for navigation systems. Previous colonoscope tracking methods caused large tracking errors because they do not consider deformations of the colon during colonoscope insertions. We utilize the shape estimation network (SEN), which estimates deformed colon shape during colonoscope insertions. The SEN is a neural network containing long short-term memory (LSTM) layer. To perform colon shape estimation suitable to the real clinical situation, we trained the SEN using data obtained during colonoscope operations of physicians. The proposed tracking method performs mapping of the colonoscope tip position to a position in the colon using estimation results of the SEN. We evaluated the proposed method in a phantom study. We confirmed that tracking errors of the proposed method was enough small to perform navigation in the ascending, transverse, and descending colons.

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  84. Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation Invited Reviewed

    Takaaki Sugino, Holger Roth, Masahiro Oda, Seiji Omata, Shinya Sakuma, Fumihito Arai, Kensaku Mori

    Proc. SPIE 10578, Medical Imaging 2018   Vol. 10578   page: 105780V-1-105780V-6   2018

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    DOI: 10.1117/12.2293431

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  85. Cascade classification of lesions for automated pathological diagnosis Invited Reviewed

    Hayato Ito, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

    Proc. SPIE 10575, Medical Imaging 2018   Vol. 10575   page: 1057516-1-1057516-6   2018

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    DOI: 10.1117/12.2293495

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  86. 3Dプリンタの最新動向 Invited

    森 健策

    インナービジョン   Vol. 33   page: 35 - 36   2018

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  87. BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images Invited Reviewed

    Oda Hirohisa, Roth Holger R., Chiba Kosuke, Sokolic Jure, Kitasaka Takayuki, Oda Masahiro, Hinoki Akinari, Uchida Hiroo, Schnabel Julia A., Mori Kensaku

    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT II   Vol. 11071   page: 228 - 236   2018

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    DOI: 10.1007/978-3-030-00934-2_26

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  88. Develop and Validate a Finite Element Method Model for Deformation Matching of Laparoscopic Gastrectomy Navigation Invited Reviewed

    Chen Tao, Wei Guodong, Shi Weili, Hayashi Yuichiro, Oda Masahiro, Jiang Zhengang, Li Guoxin, Mori Kensaku

    MEDICAL IMAGING 2018: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING   Vol. 10576   2018

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    DOI: 10.1117/12.2293288

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  89. Deep Learning and Its Application to Medical Image Segmentation Invited Reviewed

    ROTH Holger R., SHEN Chen, ODA Hirohisa, ODA Masahiro, HAYASHI Yuichiro, MISAWA Kazunari, MORI Kensaku

    Medical Imaging Technology   Vol. 36 ( 2 ) page: 63 - 71   2018

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    One of the most common tasks in medical imaging is semantic segmentation. Achieving this segmentation automatically has been an active area of research, but the task has been proven very challenging due to the large variation of anatomy across different patients. However, recent advances in deep learning have made it possible to significantly improve the performance of image recognition and semantic segmentation methods in the field of computer vision. Due to the data driven approaches of hierarchical feature learning in deep learning frameworks, these advances can be translated to medical images without much difficulty. Several variations of deep convolutional neural networks have been successfully applied to medical images. Especially fully convolutional architectures have been proven efficient for segmentation of 3D medical images. In this article, we describe how to build a 3D fully convolutional network (FCN) that can process 3D images in order to produce automatic semantic segmentations. The model is trained and evaluated on a clinical computed tomography (CT) dataset and shows stateof-the-art performance in multi-organ segmentation.

    DOI: 10.11409/mit.36.63

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  90. Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks Invited Reviewed

    Oda Masahiro, Roth Holger R., Kitasaka Takayuki, Furukawa Kasuhiro, Miyahara Ryoji, Hirooka Yoshiki, Goto Hidemi, Navab Nassir, Mori Kensaku

    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV   Vol. 11073   page: 176 - 184   2018

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    DOI: 10.1007/978-3-030-00937-3_21

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  91. Airway Segmentation from 3D Chest CT Volumes Based on Volume of Interest Using Gradient Vector Flow Invited Reviewed

    MENG Qier, KITASAKA Takayuki, ODA Masahiro, UENO Junji, MORI Kensaku

    Medical Imaging Technology   Vol. 36 ( 3 ) page: 133 - 146   2018

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society of Medical Imaging Technology  

    In this paper, we propose a new airway segmentation algorithm from 3D chest CT volumes based on the volume of interest (VOI). The algorithm segments each bronchial branch by recognizing the airway regions from the trachea using the VOIs to segment each branch. A VOI is placed to envelop the branch currently being processed. Then a cavity enhancement filter is performed only inside the current VOI so that each branch is extracted. At the same time, we perform a leakage detection scheme to avoid any leakage regions inside the VOI. Next the gradient vector flow magnitude map and a tubular-likeness function are computed in each VOI. This assists the predictions of both the position and direction of the next child VOIs to detect the next child branches to continue the tracking algorithm. Finally, we unify all of the extracted airway regions to form a complete airway tree. We used a dataset that includes 50 standard-dose human chest CT volumes to evaluate our proposed algorithm. The average extraction rate was approximately 78.1% with a significantly decreased false positive rate compared to the previous method.

    DOI: 10.11409/mit.36.133

    CiNii Research

  92. <b>3Dプリンターの基礎と医療応用</b> Invited Reviewed

    森 健策

    心臓   Vol. 49 ( 11 ) page: 1104 - 1113   2017.11

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:公益財団法人 日本心臓財団  

    DOI: 10.11281/shinzo.49.1104

    CiNii Research

  93. Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis Invited

    Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori

    Journal of Medical Imaging   Vol. 4 ( 04 ) page: 1   2017.11

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    DOI: 10.1117/1.jmi.4.4.044502

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  94. Automatic segmentation of head anatomical structures from sparsely-Annotated images Invited Reviewed

    Sugino T., Roth H.R., Eshghi M., Oda M., Chung M.S., Mori K.

    2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017   Vol. 2018-January   page: 145 - 149   2017.7

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    Bionic humanoid systems, which are elaborate human models with sensors, have been developed as a tool for quantitative evaluation of doctors' psychomotor skills and medical device performances. For creation of the elaborate human models, this study presents automated segmentation of head sectioned images using sparsely-Annotated data based on deep convolutional neural network. We applied the following fully convolutional networks (FCNs) to the sparse-Annotation-based segmentation: a standard FCN and a dilated convolution based FCN. To validate the availability of FCNs for segmentation of head structures from sparse annotation, we performed 8- and 243-label segmentation experiments using different two sets of head sectioned images in the Visible Korean Human project. In the segmentation experiments, only 10% of all images in each data set were used for training data. Both of the FCNs could achieve the mean segmentation accuracy of more than 85% in the 8-label segmentation. In the 243-label segmentation, though the mean segmentation accuracy was about 50%, the results suggested that the FCNs, especially the dilated convolution based FCNs, had potential to achieve accurate segmentation of anatomical structures, except for small-sized and complex-shaped tissues, even from sparse annotation.

    DOI: 10.1109/CBS.2017.8266085

    Scopus

  95. Artificial Intelligence for Endocytoscopy Provides Fully Automated Diagnosis of Histological Remission in Ulcerativ E. Coli Tis Invited Reviewed

    Yasuharu Maeda, Kudo Shinei, Mori Yuichi, Misawa Masashi, Wakamura Kunihiko, Hayashi Seiko, Ogata Noriyuki, Takeda Kenichi, Kudo Toyoki, Hayashi Takemasa, Katagiri Atsushi, Ishida Fumio, Ohtsuka Kazuo, Oda Masahiro, Mori Kensaku

    GASTROINTESTINAL ENDOSCOPY   Vol. 85 ( 5 ) page: AB248 - AB248   2017.5

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  96. Computer-Aided Diagnosis Based on Endocytoscopy With Narrow-Band Imaging Allows Accurate Diagnosis of Diminutive Colorectal Lesions Invited Reviewed

    Misawa Masashi, Kudo Shinei, Mori Yuichi, Takeda Kenichi, Kataoka Shinichi, Nakamura Hiroki, Maeda Yasuharu, Ogawa Yushi, Yamauchi Akihiro, Igarashi Kenta, Hayashi Takemasa, Kudo Toyoki, Wakamura Kunihiko, Katagiri Atsushi, Baba Toshiyuki, Ishida Fumio, Oda Masahiro, Mori Kensaku

    GASTROINTESTINAL ENDOSCOPY   Vol. 85 ( 5 ) page: AB57 - AB57   2017.5

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  97. Can Artificial Intelligence Correctly Diagnose Sessile Serrated Adenomas/Polyps? Invited Reviewed

    Mori Yuichi, Kudo Shinei, Ogawa Yushi, Misawa Masashi, Takeda Kenichi, Kudo Toyoki, Wakamura Kunihiko, Hayashi Takemasa, Ichimasa Katsuro, Maeda Yasuharu, Toyoshima Naoya, Nakamura Hiroki, Katagiri Atsushi, Baba Toshiyuki, Ishida Fumio, Oda Masahiro, Mori Kensaku, Inoue Haruhiro

    GASTROINTESTINAL ENDOSCOPY   Vol. 85 ( 5 ) page: AB510 - AB510   2017.5

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  98. Diagnostic Ability of Automated Diagnosis System Using Endocytoscopy for Invasive Colorectal Cancer Invited Reviewed

    Takeda Kenichi, Kudo Shinei, Mori Yuichi, Kataoka Shinichi, Yasuharu Maeda, Ogawa Yushi, Nakamura Hiroki, Misawa Masashi, Kudo Toyoki, Wakamura Kunihiko, Hayashi Takemasa, Katagiri Atsushi, Baba Toshiyuki, Hidaka Eiji, Ishida Fumio, Inoue Haruhiro, Oda Masahiro, Mori Kensaku

    GASTROINTESTINAL ENDOSCOPY   Vol. 85 ( 5 ) page: AB408 - AB408   2017.5

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  99. Influence of using 3D images and 3D-printed objects on the formation of spatial mental models of experts and novices Invited Reviewed

    MAEHIGASHI Akihiro, MIWA Kazuhisa, ODA Masahiro, NAKAMURA Yoshihiko, MORI Kensaku, IGAMI Tsuyoshi

    JSAI Technical Report, SIG-ALST   Vol. 79 ( 0 ) page: 08   2017.3

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society for Artificial Intelligence  

    DOI: 10.11517/jsaialst.79.0_08

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  100. 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation Invited Reviewed

    Oda Masahiro, Shimizu Natsuki, Roth Holger R., Karasawa Ken'ichi, Kitasaka Takayuki, Misawa Kazunari, Fujiwara Michitaka, Rueckert Daniel, Mori Kensaku

    DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT   Vol. 10553   page: 222 - 230   2017

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    This paper presents a fully automated atlas-based pancreas segmentation method from CT volumes utilizing 3D fully convolutional network (FCN) feature-based pancreas localization. Segmentation of the pancreas is difficult because it has larger inter-patient spatial variations than other organs. Previous pancreas segmentation methods failed to deal with such variations. We propose a fully automated pancreas segmentation method that contains novel localization and segmentation. Since the pancreas neighbors many other organs, its position and size are strongly related to the positions of the surrounding organs. We estimate the position and the size of the pancreas (localization) from global features by regression forests. As global features, we use intensity differences and 3D FCN deep learned features, which include automatically extracted essential features for segmentation. We chose 3D FCN features from a trained 3D U-Net, which is trained to perform multi-organ segmentation. The global features include both the pancreas and surrounding organ information. After localization, a patient-specific probabilistic atlas-based pancreas segmentation is performed. In evaluation results with 146 CT volumes, we achieved 60.6% of the Jaccard index and 73.9% of the Dice overlap.

    DOI: 10.1007/978-3-319-67558-9_26

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    Scopus

  101. 3Dプリンタ・ユーザーインターフェイス等の最新動向 Invited

    森 健策

    インナービジョン   Vol. 32   page: 44 - 45   2017

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  102. 3D Printing for Medical Application Invited

    MORI Kensaku

    Medical Imaging and Information Sciences   Vol. 34 ( 1 ) page: 1 - 6   2017

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    <p>This paper briefly introduces 3D printing technology for medical applications. 3D printing technology is obtaining a lot of attentions from various fields including rapid prototyping and manufacturing, home use and medical applications. Medical applications of 3D printing are including:(a)diagnostic aid,(b)surgical aid,(c)medical education,(d)medical training, and(e)re-generative medicine. In this short summary, we will briefly explain the various mechanism of 3D printing and several printing techniques for reproducing organ models by 3D printing techniques. Also the recent topics in international conferences are introduced here.</p>

    DOI: 10.11318/mii.34.1

    CiNii Research

  103. 3Dプリンタの医療応用 Invited

    森 健策

    医用画像情報学会雑誌   Vol. 34   page: 1 - 6   2017

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  104. 3Dプリンタ-の基礎と医療応用 Invited

    森 健策

    月刊心臓   Vol. 49   page: 1104 - 1113   2017

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  105. Automatic Segmentation of Head Anatomical Structures from Sparsely-annotated Images Invited Reviewed

    Sugino Takaaki, Roth Holger R., Eshghi Mohammad, Oda Masahiro, Chung Min Suk, Mori Kensaku

    2017 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS)     page: 145 - 149   2017

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  106. Computer-Aided Diagnosis of Mammographic Masses Using Geometric Verification-Based Image Retrieval Invited Reviewed

    Li Qingliang, Shi Weili, Yang Huamin, Zhang Huimao, Li Guoxin, Chen Tao, Mori Kensaku, Jiang Zhengang

    MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS   Vol. 10134   2017

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    DOI: 10.1117/12.2255799

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  107. Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project Invited Reviewed

    Eshghi Mohammad, Roth Holger R., Oda Masahiro, Chung Min Suk, Mori Kensaku

    PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017     page: 290 - 293   2017

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  108. A study on improvement of airway segmentation using Hybrid method Invited Reviewed

    Qier M., Kitasaka T., Nimura Y., Oda M., Mori K.

    Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015     page: 549 - 553   2016.6

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    This paper presents a method for extracting an airway region from 3D chest CT volumes that uses a combination of tube enhancement filters, voxel classification based on machine learning methods and graph-cut algorithm. Lots of previous methods utilize region growing or level set algorithms without any prior knowledge of bronchi, which always fail when they reach to the peripheral bronchi. In this paper, a method of extraction based on airway shape and machine learning is proposed. The proposed method detects candidate voxels of bronchial regions by using two types of enhancement filters, and a classifier model is built for selecting the proper candidates regions based on intensity and shape features and finally the selected candidate voxels are connected by graph-cut algorithm. We applied this method on six cases of 3D chest CT volumes. The results show that this method can extract the smaller airway branches without leaking into the lung parenchyma areas.

    DOI: 10.1109/ACPR.2015.7486563

    Scopus

  109. Characterization of Colorectal Lesions Using a Computer-Aided Diagnostic System for Narrow-Band Imaging Endocytoscopy Invited Reviewed

    Misawa Masashi, Kudo Shin-ei, Mori Yuichi, Nakamura Hiroki, Kataoka Shinichi, Maeda Yasuharu, Kudo Toyoki, Hayashi Takemasa, Wakamura Kunihiko, Miyachi Hideyuki, Katagiri Atsushi, Baba Toshiyuki, Ishida Fumio, Inoue Haruhiro, Nimura Yukitaka, Mori Kensaku

    GASTROENTEROLOGY   Vol. 150 ( 7 ) page: 1531 - +   2016.6

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    DOI: 10.1053/j.gastro.2016.04.004

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  110. Influences of 3D images and 3D-printed objects on mental model construction of liver structure Invited Reviewed

    MAEHIGASHI Akihiro, MIWA Kazuhisa, ODA Masahiro, NAKAMURA Yoshihiko, MORI Kensaku, IGAMI Tsuyoshi

    JSAI Technical Report, SIG-ALST   Vol. 76 ( 0 ) page: 14   2016.3

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society for Artificial Intelligence  

    <p>In this study, we experimentally investigated the influence of a three-dimensional (3D) graphic image and a 3D-printed object on a spatial reasoning task in a situation where liver resection surgery was presupposed. The results of the study indicated that using a 3D-printed object produced more accurate and faster mental model construction of a liver structure than a 3D image. Using a 3D-printed object was assumed to reduce cognitive load and information accessing cost more than using a 3D image.</p>

    DOI: 10.11517/jsaialst.76.0_14

    CiNii Research

  111. Cascade registration of micro CT volumes taken in multiple resolutions Invited Reviewed

    Nagara K., Oda H., Nakamura S., Oda M., Homma H., Takabatake H., Mori M., Natori H., Rueckert D., Mori K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 9805 LNCS   page: 269 - 280   2016

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    In this paper, we present a preliminary report of a multiscale registration method between micro-focus X-ray CT (micro CT) volumes taken in different scales. 3D fine structures of target objects can be observed on micro CT volumes, which are difficult to observe on clinical CT volumes. Micro CT scanners can scan specimens in various resolutions. In their high resolution volumes, ultra fine structures of specimens can be observed, while scanned areas are limited to very small. On the other hand, in low resolution volumes, large areas can be captured, while fine structures of specimens are difficult to observe. The fusion volume of the high and low resolution volumes will have benefits of both. Because the difference of resolutions between the high and low resolution volumes may vary greatly, an intermediate resolution volume is required for successful fusion of volumes. To perform such volume fusion, a cascade multi-resolution registration technique is required. To register micro CT volumes that have quite different resolutions, we employ a cascade co-registration technique. In the cascade co-registration process, intermediate resolution volumes are used in a registration process of the high and low resolution volumes. In the registration between two volumes, we apply two steps registration techniques. In the first step, a block division is used to register two resolution volumes. Afterward, we estimate the fine spatial positions relating the registered two volumes using the Powell method. The registration result can be used to generate a fusion volume of the high and low resolution volumes.

    DOI: 10.1007/978-3-319-43775-0_24

    Scopus

  112. 3Dプリンタ・ユーザーインターフェイス等の最新動向 Invited

    森 健策

    インナービジョン   Vol. -   page: 44 - 45   2016

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  113. 3Dプリンティングのハンドリングのノウハウ Invited

    森 健策

    インナービジョン   Vol. 31   page: 20 - 24   2016

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  114. Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes Invited Reviewed

    Matsuzaki Tetsuro, Oda Masahiro, Kitasaka Takayuki, Hayashi Yuichiro, Misawa Kazunari, Mori Kensaku

    MEDICAL IMAGE ANALYSIS   Vol. 20 ( 1 ) page: 152 - 161   2015.2

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    DOI: 10.1016/j.media.2014.11.002

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  115. Automated torso organ segmentation from 3D CT images using conditional random field Invited Reviewed

    Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2016   Vol. 9785   2015

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1117/12.2214845

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  116. 3Dプリンティングの現状と将来展望:医用画像処理と3Dプリンタによる臓器実体モデル作成とその利用 Invited

    森 健策

    光技術コンタクト   Vol. 53   page: 20 - 27   2015

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  117. A study on improvement of airway segmentation using Hybrid method Invited Reviewed

    Qier Meng, Kitasaka Takayuki, Nimura Yukitaka, Oda Masahiro, Mori Kensaku

    PROCEEDINGS 3RD IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION ACPR 2015     page: 549 - 553   2015

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  118. Development of a new detection device using a glass clip emitting infrared fluorescence for laparoscopic surgery of gastric cancer Invited Reviewed

    Inada Shunko Albano, Fuchi Shingo, Mori Kensaku, Hasegawa Junichi, Misawa Kazunari, Nakanishi Hayao

    6TH INTERNATIONAL CONFERENCE ON OPTICAL, OPTOELECTRONIC AND PHOTONIC MATERIALS AND APPLICATIONS (ICOOPMA) 2014   Vol. 619   2015

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    DOI: 10.1088/1742-6596/619/1/012033

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  119. Development and clinical application of surgical navigation system for laparoscopic hepatectomy Invited Reviewed

    Hayashi Yuichiro, Igami Tsuyoshi, Hirose Tomoaki, Nagino Masato, Mori Kensaku

    MEDICAL IMAGING 2015: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING   Vol. 9415   2015

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    DOI: 10.1117/12.2082690

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  120. Connection method of separated luminal regions of intestine from CT volumes Invited Reviewed

    Oda Masahiro, Kitasaka Takayuki, Furukawa Kazuhiro, Watanabe Osamu, Ando Takafumi, Hirooka Yoshiki, Goto Hidemi, Mori Kensaku

    MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS   Vol. 9414   2015

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    DOI: 10.1117/12.2081977

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  121. Automated Torso Organ Segmentation from 3D CT Images using Structured Perceptron and Dual Decompostion Invited Reviewed

    Nimura Yukitaka, Hayashi Yuichiro, Kitasaka Takayuki, Mori Kensaku

    MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS   Vol. 9414   2015

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    DOI: 10.1117/12.2081774

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  122. Automated branching pattern report generation for laparoscopic surgery assistance Invited Reviewed

    Oda Masahiro, Matsuzaki Tetsuro, Hayashi Yuichiro, Kitasaka Takayuki, Misawa Kazunari, Mori Kensaku

    MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS   Vol. 9414   2015

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    DOI: 10.1117/12.2082488

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  123. SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset. Invited Reviewed International journal

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

    International journal of computer assisted radiology and surgery   Vol. 19 ( 3 ) page: 493 - 506   2024.3

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    PURPOSE: We propose a large-factor super-resolution (SR) method for performing SR on registered medical image datasets. Conventional SR approaches use low-resolution (LR) and high-resolution (HR) image pairs to train a deep convolutional neural network (DCN). However, LR-HR images in medical imaging are commonly acquired from different imaging devices, and acquiring LR-HR image pairs needs registration. Registered LR-HR images have registration errors inevitably. Using LR-HR images with registration error for training an SR DCN causes collapsed SR results. To address these challenges, we introduce a novel SR approach designed specifically for registered LR-HR medical images. METHODS: We propose style-subnets-assisted generative latent bank for large-factor super-resolution (SGSR) trained with registered medical image datasets. Pre-trained generative models named generative latent bank (GLB), which stores rich image priors, can be applied in SR to generate realistic and faithful images. We improve GLB by newly introducing style-subnets-assisted GLB (S-GLB). We also propose a novel inter-uncertainty loss to boost our method's performance. Introducing more spatial information by inputting adjacent slices further improved the results. RESULTS: SGSR outperforms state-of-the-art (SOTA) supervised SR methods qualitatively and quantitatively on multiple datasets. SGSR achieved higher reconstruction accuracy than recently supervised baselines by increasing peak signal-to-noise ratio from 32.628 to 34.206 dB. CONCLUSION: SGSR performs large-factor SR while given a registered LR-HR medical image dataset with registration error for training. SGSR's results have both realistic textures and accurate anatomical structures due to favorable quantitative and qualitative results. Experiments on multiple datasets demonstrated SGSR's superiority over other SOTA methods. SR medical images generated by SGSR are expected to improve the accuracy of pre-surgery diagnosis and reduce patient burden.

    DOI: 10.1007/s11548-023-03037-3

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    PubMed

  124. YOLOv7-RepFPN: Improving real-time performance of laparoscopic tool detection on embedded systems Invited Reviewed

    Yuzhang Liu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori

    Healthcare Technology Letters     2024

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    This study focuses on enhancing the inference speed of laparoscopic tool detection on embedded devices. Laparoscopy, a minimally invasive surgery technique, markedly reduces patient recovery times and postoperative complications. Real-time laparoscopic tool detection helps assisting laparoscopy by providing information for surgical navigation, and its implementation on embedded devices is gaining interest due to the portability, network independence and scalability of the devices. However, embedded devices often face computation resource limitations, potentially hindering inference speed. To mitigate this concern, the work introduces a two-fold modification to the YOLOv7 model: the feature channels and integrate RepBlock is halved, yielding the YOLOv7-RepFPN model. This configuration leads to a significant reduction in computational complexity. Additionally, the focal EIoU (efficient intersection of union) loss function is employed for bounding box regression. Experimental results on an embedded device demonstrate that for frame-by-frame laparoscopic tool detection, the proposed YOLOv7-RepFPN achieved an mAP of 88.2% (with IoU set to 0.5) on a custom dataset based on EndoVis17, and an inference speed of 62.9 FPS. Contrasting with the original YOLOv7, which garnered an 89.3% mAP and 41.8 FPS under identical conditions, the methodology enhances the speed by 21.1 FPS while maintaining detection accuracy. This emphasizes the effectiveness of the work.

    DOI: 10.1049/htl2.12072

    Scopus

  125. Towards better laparoscopic video segmentation: A class-wise contrastive learning approach with multi-scale feature extraction Invited Reviewed

    Luyang Zhang, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori

    Healthcare Technology Letters     2024

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    The task of segmentation is integral to computer-aided surgery systems. Given the privacy concerns associated with medical data, collecting a large amount of annotated data for training is challenging. Unsupervised learning techniques, such as contrastive learning, have shown powerful capabilities in learning image-level representations from unlabelled data. This study leverages classification labels to enhance the accuracy of the segmentation model trained on limited annotated data. The method uses a multi-scale projection head to extract image features at various scales. The partitioning method for positive sample pairs is then improved to perform contrastive learning on the extracted features at each scale to effectively represent the differences between positive and negative samples in contrastive learning. Furthermore, the model is trained simultaneously with both segmentation labels and classification labels. This enables the model to extract features more effectively from each segmentation target class and further accelerates the convergence speed. The method was validated using the publicly available CholecSeg8k dataset for comprehensive abdominal cavity surgical segmentation. Compared to select existing methods, the proposed approach significantly enhances segmentation performance, even with a small labelled subset (1–10%) of the dataset, showcasing a superior intersection over union (IoU) score.

    DOI: 10.1049/htl2.12069

    Scopus

  126. Revisiting instrument segmentation: Learning from decentralized surgical sequences with various imperfect annotations Invited Reviewed

    Zhou Zheng, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori

    Healthcare Technology Letters     2024

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    This paper focuses on a new and challenging problem related to instrument segmentation. This paper aims to learn a generalizable model from distributed datasets with various imperfect annotations. Collecting a large-scale dataset for centralized learning is usually impeded due to data silos and privacy issues. Besides, local clients, such as hospitals or medical institutes, may hold datasets with diverse and imperfect annotations. These datasets can include scarce annotations (many samples are unlabelled), noisy labels prone to errors, and scribble annotations with less precision. Federated learning (FL) has emerged as an attractive paradigm for developing global models with these locally distributed datasets. However, its potential in instrument segmentation has yet to be fully investigated. Moreover, the problem of learning from various imperfect annotations in an FL setup is rarely studied, even though it presents a more practical and beneficial scenario. This work rethinks instrument segmentation in such a setting and propose a practical FL framework for this issue. Notably, this approach surpassed centralized learning under various imperfect annotation settings. This method established a foundational benchmark, and future work can build upon it by considering each client owning various annotations and aligning closer with real-world complexities.

    DOI: 10.1049/htl2.12068

    Scopus

  127. Artificial intelligence in a prediction model for post-ERCP pancreatitis Reviewed

    Takahashi Hidekazu, Eizaburo Ohno, Taiki Furukawa, Kentaro Yamao, Takuya Ishikawa, Yasuyuki Mizutani, Tadashi Iida, Yoshimune Shiratori, Shintaro Oyama, Junji Koyama, Kensaku Mori, Yuichiro Hayashi, Masahiro Oda, Takahisa Suzuki, Hiroki Kawashima

    Digestive Endoscopy     2023.7

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    DOI: 10.1111/den.14622

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  128. DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST-ERCP PANCREATITIS Invited Reviewed

    Takahashi Hidekazu, Eizaburo Ohno, Taiki Furukawa, Kentaro Yamao, Takuya Ishikawa, Yasuyuki Mizutani, Tadashi Iida, Yoshimune Shiratori, Shintaro Oyama, Junji Koyama, Kensaku Mori, Yuichiro Hayashi, Masahiro Oda, Takahisa Suzuki, Hiroki Kawashima

    Gastrointestinal Endoscopy   Vol. 97 ( 6 ) page: AB656 - AB656   2023.6

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    DOI: 10.1016/j.gie.2023.04.1087

  129. Development of panorama vision ring for thoracoscopy. Invited Reviewed International journal

    Takayuki Kitasaka, Shota Nakamura, Yuichiro Hayashi, Tsuyoshi Nakai, Yasuhiro Nakai, Kensaku Mori, Toyofumi Fengshi Chen-Yoshikawa

    International journal of computer assisted radiology and surgery   Vol. 18 ( 5 ) page: 945 - 952   2023.5

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    PURPOSE: Minimally invasive surgery (MIS) using a thoraco- or laparoscope is becoming a more common surgical technique. In MIS, a magnified view from a thoracoscope helps surgeons conduct precise operations. However, there is a risk of the visible area becoming narrow. To confirm that the operation field is safe, the surgeon will draw the thoracoscope back to check the marginal area of the target and insert it again many times during MIS. To reduce the surgeon's load, we aim to visualize the entire thoracic cavity using a newly developed device called "panorama vision ring" (PVR). METHOD: The PVR is used instead of a wound retractor or a trocar. It is a ring-type socket with one big hole for the thoracoscope and four small holes for tiny cameras placed around the big hole. The views from the tiny cameras are fused into one wider view that visualizes the entire thoracic cavity. A surgeon can proceed with an operation by checking what exists outside of the thoracoscopic view. Also, she/he can check whether or not bleeding has occurred from the image of the entire cavity. RESULTS: We evaluated the view-expansion ability of the PVR by using a three-dimensional full-scale thoracic model. The experimental results showed that the entire thoracic cavity could be visible in a panoramic view generated by the PVR. We also demonstrated pulmonary lobectomy in virtual MIS using the PVR. Surgeons could perform a pulmonary lobectomy while checking the entire cavity. CONCLUSION: We developed the PVR, which uses tiny auxiliary cameras to create a panoramic view of the entire thoracic cavity during MIS. We aim to make MIS safer for patients and more comfortable for surgeons through the development of the PVR.

    DOI: 10.1007/s11548-023-02859-5

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  130. CT像からの腸閉塞検出における中心線を用いた後処理手法

    陳 思睿, 小田 紘久, 安 芹, 林 雄一郎, 北坂 孝幸, 滝本 愛太朗, 檜 顕成, 内田 広夫, 鈴木 耕次郎, 小田 昌宏, 森 健策

    電子情報通信学会技術研究報告(MI)信学技報   Vol. 122 ( 417 ) page: 223 - 228   2023.3

  131. 医用画像とAI Reviewed

    カレントテラピー   Vol. 41 ( 39 ) page: 79 - 79   2023.3

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  132. Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets

    Qin An, Hirohisa Oda, Sirui Chen, Yuichiro Hayashi, Takayuki Kitasaka, Hiroo Uchida, Akinari Hinoki, Kojiro Suzuki, Aitaro Takimoto, Masahiro Oda, Kensaku Mori

      Vol. 122 ( 417 ) page: 46 - 51   2023.3

  133. Average Templateを使ったCT像からのCOVID-19異常陰影領域セグメンテーション手法

    柳 凱, 小田 昌宏, 鄭 通, 林 雄一郎, 大竹 義人, 橋本 正弘, 明石 敏昭, 青木 茂樹, 森 健策

    電子情報通信学会技術研究報告(MI) 信学技報   Vol. 122 ( 47 ) page: 40 - 45   2023.3

  134. 術前画像情報を用いた腹腔鏡映像からの血管位置予測の検討

    榎本 圭吾, 林 雄一郎, 北坂 孝幸, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI) 信学技報   Vol. 122 ( 417 ) page: 63 - 68   2023.3

  135. グラフニューラルネットワークを用いた血管名自動命名における臓器特徴の有効性の調査

    出口 智也, 林 雄一郎, 北坂 孝幸, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI), 信学技報   Vol. 122 ( 417 ) page: 105 - 110   2023.3

  136. L-former : a lightweight transformer for realistic medical image generation and its application to super-resolution Reviewed

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi,shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

    proc. SPIE     2023.2

  137. Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI Invited Reviewed

    Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

    Proc.SPIE12464     2023.2

  138. A semantic segmentation method for laparoscopic images using semantically similar groups Reviewed

    Leo Uramoto, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    Proc.SPIE     2023.2

  139. Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer Invited Reviewed

    Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

    Proc.SPIE     2023.2

  140. `Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging Invited Reviewed

    Yunheng Wu, Masahiro Oda,Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori

    Proc.SPIE     2023.2

  141. Real bronchoscopic images-based bronchial nomenclature: a preliminary study Invited Reviewed

    Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Proc.SPIE     2023.2

  142. Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks Invited Reviewed

    Ryo Toda, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

    Proc.SPIE     2023.2

  143. Octree cube constraints in PBD method for high resolution surgical simulation Reviewed

    Rintaro Miyazaki, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori

    Proc.SPIE     2023.2

  144. Oesophagus Achalasia Diagnosis from Esophagoscopy Based on a Serial Multi-scale Network Invited

    Kai Jiang, Masahiro Oda, Yuichiro Hayashi, Hironari Shiwaku, Masashi Misawa, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization   Vol. 11 ( 4 ) page: 1 - 10   2023.2

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    DOI: 10.1080/21681163.2022.2159534

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  145. KST-Mixer: kinematic spatio-temporal data mixer for colon shape estimation Invited

    Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization   Vol. 11 ( 4 ) page: 1 - 7   2023.1

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    DOI: 10.1080/21681163.2022.2151938

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  146. 人工知能(AI)の最新動向 RSNA2022におけるAI関連セッション Reviewed

    インナービジョン   Vol. 38 ( 2 ) page: 33 - 34   2023.1

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  147. L-former : A Lightweight Transformer for Realistic Medical Image Generation and its Application to Super-resolution Invited Reviewed

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

    MEDICAL IMAGING 2023   Vol. 12464   2023

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    Medical image analysis approaches such as data augmentation and domain adaption need huge amounts of realistic medical images. Generating realistic medical images by machine learning is a feasible approach. We propose L-former, a lightweight Transformer for realistic medical image generation. L-former can generate more reliable and realistic medical images than recent generative adversarial networks (GANs). Meanwhile, L-former does not consume as high computational cost as conventional Transformer-based generative models. L-former uses Transformers to generate low-resolution feature vectors at shallow layers, and uses convolutional neural networks to generate high-resolution realistic medical images at deep layers. Experimental results showed that L-former outperformed conventional GANs by FID scores 33.79 and 76.85 on two datasets, respectively. We further conducted a downstream study by using the images generated by L-former to perform a super-resolution task. A high PSNR score of 27.87 proved L-former's ability to generate reliable images for super-resolution and showed its potential for applications in medical diagnosis.

    DOI: 10.1117/12.2653776

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  148. Boundary-aware Feature and Prediction Refinement for Polyp Segmentation Reviewed

    ie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, ``Boundary-aware Feature and Prediction Refinement for Polyp Segmentation

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization     2022.12

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  149. Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning Invited Reviewed

    Sota Kato, Masahiro Oda, Kensaku Mori, Akinobu Shimizu, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kazuhiro Hotta

    Scientific Reports   Vol. 12 ( 1 ) page: 20840   2022.12

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    Abstract

    This study presents a novel framework for classifying and visualizing pneumonia induced by COVID-19 from CT images. Although many image classification methods using deep learning have been proposed, in the case of medical image fields, standard classification methods are unable to be used in some cases because the medical images that belong to the same category vary depending on the progression of the symptoms and the size of the inflamed area. In addition, it is essential that the models used be transparent and explainable, allowing health care providers to trust the models and avoid mistakes. In this study, we propose a classification method using contrastive learning and an attention mechanism. Contrastive learning is able to close the distance for images of the same category and generate a better feature space for classification. An attention mechanism is able to emphasize an important area in the image and visualize the location related to classification. Through experiments conducted on two-types of classification using a three-fold cross validation, we confirmed that the classification accuracy was significantly improved; in addition, a detailed visual explanation was achieved comparison with conventional methods.

    DOI: 10.1038/s41598-022-24936-6

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    Other Link: https://www.nature.com/articles/s41598-022-24936-6

  150. Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation. Invited Reviewed International journal

    Hayato Itoh, Masashi Misawa, Yuichi Mori, Shin-Ei Kudo, Masahiro Oda, Kensaku Mori

    International journal of computer assisted radiology and surgery   Vol. 17 ( 11 ) page: 2051 - 2063   2022.11

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    PURPOSE: Precise polyp detection and localisation are essential for colonoscopy diagnosis. Statistical machine learning with a large-scale data set can contribute to the construction of a computer-aided diagnosis system for the prevention of overlooking and miss-localisation of a polyp in colonoscopy. We propose new visual explaining methods for a well-trained object detector, which achieves fast and accurate polyp detection with a bounding box towards a precise automated polyp localisation. METHOD: We refine gradient-weighted class activation mapping for more accurate highlighting of important patterns in processing a convolutional neural network. Extending the refined mapping into multiscaled processing, we define object activation mapping that highlights important object patterns in an image for a detection task. Finally, we define polyp activation mapping to achieve precise polyp localisation by integrating adaptive local thresholding into object activation mapping. We experimentally evaluate the proposed visual explaining methods with four publicly available databases. RESULTS: The refined mapping visualises important patterns in each convolutional layer more accurately than the original gradient-weighted class activation mapping. The object activation mapping clearly visualises important patterns in colonoscopic images for polyp detection. The polyp activation mapping localises the detected polyps in ETIS-Larib, CVC-Clinic and Kvasir-SEG database with mean Dice scores of 0.76, 0.72 and 0.72, respectively. CONCLUSIONS: We developed new visual explaining methods for a convolutional neural network by refining and extending gradient-weighted class activation mapping. Experimental results demonstrated the validity of the proposed methods by showing that accurate visualisation of important patterns and localisation of polyps in a colonoscopic image. The proposed visual explaining methods are useful for the interpreting and applying a trained polyp detector.

    DOI: 10.1007/s11548-022-02696-y

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  151. Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI Reviewed

    Hayato Itoh, Tao Hu, Masahiro Oda, Shinji Saiki, Koji Kamagata, Nobutaka Hattori, Shigeki Aoki,Kensaku Mori

    LNCS13594     2022.10

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  152. Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method Reviewed

    Tao Hu, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kanako K. Kumamaru, Toshiaki Akashi, Kensaku Mori

    LNCS13437     page: 736 - 744   2022.9

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  153. Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency Reviewed

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, akayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    LNCS13434     page: 467 - 477   2022.9

  154. GNN による血管名自動命名手法における臓器特徴の利用に関する検討 Invited Reviewed

    出口 智也, 林 雄一郎, 北坂 孝幸, 小田 昌宏, 三澤 一成, 森 健策

     第41回日本医用画像工学会大会予稿集     2022.7

  155. Confocal Laser Scanning Microscope Image Super Resolution for Biomedical Research Based on Two-Stage Generative Adversarial Network Invited Reviewed

    Yunheng WU, Masahiro ODA, Yuichiro HAYASHI, Takanori TAKEBE, Shogo NAGATA, Shuntaro KAWAMURA, Kensaku MORI

        page: 138 - 139   2022.7

  156. Co-Training for Semi-Supervised CT Segmentation of COVID-19 Invited Reviewed

    Kai LIU, Masahiro ODA, Tong ZHENG, Yuichiro HAYASHI, Yoshito OTAKE, Masahiro HASHIMOTO, Toshiaki AKASHI, Shigeki AOKI, Kensaku MORI

        page: 114 - 115   2022.7

  157. A Novel Centroid-attention based Hybrid Model for Subarachnoid Hemorrhage Classification on Imbalanced Data Invited Reviewed

    Zhongyang LU, Masahiro ODA,1, Yuichiro HAYASHI, Tao Hu, Hayato ITOH, Takeyuki WATADANI, Osamu ABE,Kensaku MORI

        page: 104 - 105   2022.7

  158. テンソル分解を用いた黒質緻密部の3 次元パターン表現に関する初期的検討 Invited Reviewed

    伊東 隼人, 小田 昌宏, 斉木 臣二, 服部 信考, 鎌形 康司, 青木 茂樹, 森 健策

    第41回日本医用画像工学会大会予稿集     page: 124 - 125   2022.7

  159. 境界情報を考慮する損失関数を用いたFCN による腹部 CT 像からの臓器領域抽出に関する研究 Invited Reviewed

    大野 真奈, 申 忱, Holger R. Roth, 小田 昌宏, 林 雄一郎, 三澤 一成, 森 健策

    第41回日本医用画像工学会大会予稿集     page: 106 - 107   2022.7

  160. 大腸外科領域における情報支援内視鏡外科手術システムの開発 Invited Reviewed

    ]長谷川 寛, 北口 大地, 小島 成浩, 竹下 修由, 森 健策, 伊藤 雅昭

    日本コンピュータ外科学会誌 第31回日本コンピュータ外科学会大会特集号   Vol. 24 ( 2 )   2022.6

  161. 腹腔鏡映像からの血管領域自動抽出におけるDilated U‒Netの段数が 抽出精度に与える影響 Invited Reviewed

    榎本 圭吾 ,林 雄一郎,北坂 孝幸,小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第31回日本コンピュータ外科学会大会特集号   Vol. 24 ( 2 ) page: 22(5)-3   2022.6

  162. 腹腔鏡下胃切除術支援のための腹腔鏡映像からの膵臓領域抽出の検討 Invited Reviewed

    林 雄一郎, 辻 真治, 丘 杰, 小田 昌宏, 三澤 一成,森 健策

    日本コンピュータ外科学会誌 第31回日本コンピュータ外科学会大会特集号   Vol. 24 ( 2 ) page: 22(5)-4   2022.6

  163. nnU‒Netによる肺マイクロCT像からの小葉間隔壁抽出 Invited Reviewed

    深井 大輔,小田 紘久,椎名 健,林 雄一郎,鄭 通,中村 彰太, 小田 昌宏,森 健策

    日本コンピュータ外科学会誌 第31回日本コンピュータ外科学会大会特集号   Vol. 24 ( 2 ) page: 22(5)-6   2022.6

  164. コンピュータ外科におけるAIとVisionのドッキング―知能と知覚の結合による新たなコンピュータ外科 Invited Reviewed

    森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 24 ( 2 )   2022.6

  165. Laparoscopic image classification based on surgical areas in laparoscopic gastrectomy, Invited Reviewed

    Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17   page: s57 - 58   2022.6

  166. 3D bronchus anatomical structure measurement on real bronchoscopic images based on depth images estimated by deep neural network Reviewed

    C. Wang, Y. Hayashi, M. Oda, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17   page: s48 - s49   2022.6

  167. Extraction of respiratory bronchioles and alveolar ducts from micro-CT volumes with distance-based tubular structure filter Invited Reviewed

    T. Shiina, H. Oda, T. Zheng, S. Nakamura, Y. Hayashi, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17   page: s117 - s118   2022.6

  168. 2D+3D registration in deformation-adaptive super-resolution for medical images Invited Reviewed

    T. Zheng, H. Oda, T. Hu, Y. Hayashi, S. Nakamura, M. Mori, H. Takabatake, H. Natori, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17   page: s105 - s106   2022.6

  169. Automatic Detection of Bladder Tumors in Narrow-Band Imaging Cystoscopic Images by tiny-YOLO Invited Reviewed

    J. Mutaguchi, M. Oda, E. Kashiwagi, J. Inokuchi, K. Mori, M. Eto

    International Journal of Computer Assisted Radiology and Surgery   Vol. 17   page: s86 - s86   2022.6

  170. 30年間の医用画像研究経験を振り返り未来を考える Reviewed

    情報・システムソサイエティ誌   Vol. 27 ( 1 )   2022.5

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  171. Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes Reviewed

    Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

    Proc. SPIE 12033     2022.3

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  172. Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI Reviewed

    Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

    Proc. SPIE 12032     2022.3

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  173. Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson’s disease diagnosis Invited Reviewed

    Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

    Proc. SPIE 12032     2022.3

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  174. Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos Reviewed

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    Proc. SPIE 12034     2022.3

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  175. Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos Reviewed

    Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori

    Proc. SPIE 12032     2022.3

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  176. Effective hyperparameter optimization with proxy data for multi-organ segmentation Reviewed

    Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    Proc. SPIE 12032     2022.3

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  177. Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset, Reviewed

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

    Proc. SPIE 12032     2022.3

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  178. Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation Reviewed

    Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

    Proc. SPIE 12034     2022.3

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  179. Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation Reviewed

    Zhou Zheng, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    Proc. SPIE 12033     2022.3

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  180. Multiclass prediction for improving intestine segmentation on non-fecal-tagged CT volume Reviewed

    Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari,Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori

    Proc. SPIE 12033     2022.3

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  181. 人工知能(AI)最新動向 学会発表を中心に(2)-Digital Poster発表を中心に

    森 健策

    インナービジョン   Vol. 37 ( 2 ) page: 30 - 31   2022.2

  182. Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection. Invited Reviewed International journal

    Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako Kunishima Kumamaru, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

    International journal of computer assisted radiology and surgery   Vol. 17 ( 1 ) page: 97 - 105   2022.1

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    PURPOSE: Artery contrasted computed tomography (CT) enables accurate observations of the arteries and surrounding structures, thus being widely used for the diagnosis of diseases such as aneurysm. To avoid the complications caused by contrast agent, this paper proposes an aorta-aware deep learning method to synthesize artery contrasted CT volume form non-contrast CT volume. METHODS: By introducing auxiliary multi-resolution segmentation tasks in the generator, we force the proposed network to focus on the regions of aorta and the other vascular structures. Then, the segmentation results produced by the auxiliary tasks were used to extract aorta. The detection of abnormal CT images containing aneurysm was implemented by estimating the maximum axial radius of aorta. RESULTS: In comparison with the baseline models, the proposed network with auxiliary tasks achieved better performances with higher peak signal-noise ratio value. In aorta regions which are supposed to be the main region of interest in many clinic scenarios, the average improvement can be up to 0.33dB. Using the synthesized artery contrasted CT, the F score of aneurysm detection achieved 0.58 at slice level and 0.85 at case level. CONCLUSION: This study tries to address the problem of non-contrast to artery contrasted CT modality translation by employing a deep learning model with aorta awareness. The auxiliary tasks help the proposed model focus on aorta regions and synthesize results with clearer boundaries. Additionally, the synthesized artery contrasted CT shows potential in identifying slices with abdominal aortic aneurysm, and may provide an option for patients with contrast agent allergy.

    DOI: 10.1007/s11548-021-02492-0

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  183. 医用画像処理による人体構造の解析とその診断治療への応用 ~ 30年間の医用画像研究経験を振り返り未来を考える ~

    森 健策

    電子情報通信学会技術研究報告(MI), MI2021-74   Vol. 121 ( 347 ) page: 127 - 132   2022.1

  184. 胸部CT像からのCOVID-19に関連した所見文の自動生成の検討

    岡崎 真治, 林 雄一郎, 小田 昌宏, 橋本 正弘, 陣崎 雅弘, 明石 敏昭, 青木 茂樹, 森 健策

    電子情報通信学会技術研究報告(MI), MI2021-57   Vol. 121 ( 347 ) page: 49 - 54   2022.1

  185. 高精度な大腸ポリープ検出に向けた物体検出モデルの解析

    伊東 隼人, 三澤 将史, 森 悠一, 工藤 進英, 小田 昌宏, 森 健策

    電子情報通信学会技術研究報告(MI), MI2021-63   Vol. 121 ( 347 ) page: 86 - 87   2022.1

  186. 大規模腹腔鏡動画像データベース構築に向けたオンラインアノテーションツールの開発

    伊東 隼人, 潘 冬平, 小澤 卓也, 小田 昌宏, 竹下修由, 伊藤 雅昭, 森 健策

    電子情報通信学会技術研究報告(MI), MI2021-65   Vol. 121 ( 347 ) page: 86 - 87   2022.1

  187. 深層学習に基づくマウスのクラニアルウィンドウ画像における血管セグメンテーションの考察 Invited Reviewed

    呉 運恒, 小田 昌宏, 林 雄一郎, 武部 貴則, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 121 ( 347 ) page: 174 - 179   2022.1

  188. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation Reviewed

    Takaaki Sugino, Holger R. Roth, Mashiro Oda, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima, Kensaku Mori,

    Medical Physics   Vol. 48 ( 11 ) page: 7215 - 7227   2021.11

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    DOI: 10.1002/mp.15192

  189. 胸腔鏡下手術におけるパノラマビジョンリングの基礎開発 Reviewed

    北坂 孝幸,林 雄一郎,中村 彰太,芳川 豊史,森 健策,中井 剛,中井 康博

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 318   2021.11

  190. 腹腔鏡下胃切除術の手術ナビゲーションにおける位置合わせ誤差の補正に関する検討 Reviewed

    林 雄一郎, 三澤 一成,森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 301 - 302   2021.11

  191. 複数の畳み込み範囲を持つグラフニューラルネットワークによる血管名自動命名手法の検討 Reviewed

    出口 智也,林 雄一郎,北坂 孝幸,小田 昌宏, 三澤 一成,森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 299 - 300   2021.11

  192. 自己教師あり学習による腹腔鏡動画像の手術器具セグメンテーション Reviewed

    丘 傑,林 雄一郎,小澤 卓也,小田 昌宏, 北坂 孝幸,三澤 一成, 竹下 修由, 伊藤 雅昭, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 217 - 218   2021.11

  193. 距離変換と管状構造フィルタによる肺マイクロCT画像からの細気管支・肺胞管抽出手法の検討 Reviewed

    椎名 健, 小田 紘久, 鄭 通, 中村 彰太, 林 雄一郎, 小田 昌宏, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 219 - 220   2021.11

  194. 大規模腹腔鏡動画像データベース構築に向けたアノテーションツール開発 Reviewed

    伊東 隼人,潘 冬平,小澤 卓也,小田 昌宏, 竹下 修由, 伊藤 雅昭, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 243 - 244   2021.11

  195. 腹腔鏡下胃切除術支援のための腹腔鏡映像からの術中操作の予測に関する初期検討 Reviewed

    林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 248   2021.11

  196. CT像の非等方性を考慮した3D CNNによるCOVID‒19症例の自動分類手法 Reviewed

    小田 昌宏, 鄭 通, 林 雄一郎, 大竹 義人, 橋本 正弘, 明石 敏明, 青木 茂樹, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 265 - 266   2021.11

  197. MRI 画像からの大脳基底核のAIセグメンテーション―Skip Connection による抽出精度向上の検討 Reviewed

    杉野貴明,金 太一,斎藤 季,川瀬 利弘,小野木 真哉,齊藤 延人,森 健策, 中島 義和

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 286   2021.11

  198. CT 像からの腸管領域抽出改善に関する基礎的検討 Reviewed

    小田紘久,林 雄一郎,北坂 孝幸,滝本 愛太朗,檜 顕成,内田 広夫,鈴木 耕次郎, 小田 昌宏, 森 健策

    日本コンピュータ外科学会誌 第30回日本コンピュータ外科学会大会特集号   Vol. 23 ( 4 ) page: 287 - 288   2021.11

  199. Binary polyp-size classification based on deep-learned spatial information Invited Reviewed

    Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Ito, Kinichi Hotta, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( 10 ) page: 1817 - 1828   2021.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1007/s11548-021-02477-z

    DOI: 10.1007/s11548-021-02477-z

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    Other Link: https://link.springer.com/article/10.1007/s11548-021-02477-z/fulltext.html

  200. 胸部 CT 像からの COVID-19 症例の自動分類手法

    小田 昌宏, 鄭 通, 林 雄一郎, 大竹 義人, 橋本 正弘, 明石 敏昭, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 65 - 67   2021.10

  201. VR Organ Puzzle: A Virtual Reality Application for the Education of Human Anatomy

    Siqi LI, Yuichiro HAYASHI,Michitaka FUJIWARA, Masahiro ODA, Kensaku MORI

        page: 489 - 491   2021.10

  202. Non-contrast to Artery Contrast CT Translation Via Representation-Aligned Generative Model

    Tao HU, Masahiro ODA, Yuichiro HAYASHI, Zhongyang LU, Toshiaki AKASHI, Shigeki AOKI, Kensaku MORI

        2021.10

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  203. Clinical CT Super-resolution Utilizing Registered Clinical – Micro CT Database

    Tong ZHENG, Hirohisa ODA, Yuichiro HAYASHI, Shota NAKAMURA, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Masahiro ODA, Kensaku MORI

        page: 394 - 400   2021.10

  204. 距離マップを利用した肺マイクロ CT 像からの肺胞抽出

    椎名 健, 小田 紘久, 鄭 通, 中村 彰太, 林 雄一郎, 小田 昌宏, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 374 - 377   2021.10

  205. ピットパターン特徴量の解析に向けた超拡大内視鏡画像の再構成法に関する初期的検討

    伊東 隼人, 小田 昌宏, 森 悠一, 三澤 将史, 工藤 進英, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 309 - 317   2021.10

  206. 深層学習とディジタルファントムを用いた骨陰影低減技術の開発

    五島 風汰, 田中 利恵, 小田 昌宏, 森 健策, 高田 宗尚, 田村 昌也, 松本 勲

    第40回日本医用画像工学会大会予稿集     page: 270 - 272   2021.10

  207. 3D Kidney Tumor Semantic Segmentation using Cascaded Convolutional Networks Invited Reviewed

    第40回日本医用画像工学会大会予稿集     page: 243 - 248   2021.10

  208. Attention 機構を導入したグラフニューラルネットワークによる,

    出口 智也, 林 雄一郎, 北坂 孝幸, 小田 昌宏,1 三澤 一成, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 239 - 241   2021.10

  209. 深度情報を利用した FCN による腹腔鏡映像からの血管領域自動抽出の検討

    榎本 圭吾, 林 雄一郎, 北坂 孝幸, 小田 昌宏,1 伊藤 雅昭, 竹下 修由, 三澤 一成, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 235 - 241   2021.10

  210. Vascular Structure Segmentation in Stereomicroscope Image

    Yunheng WU, Masahiro ODA, Yuichiro HAYASHI, Takanori TAKEBE, Kensaku MORI

        page: 229 - 234   2021.10

  211. Synthesized Perforation Detection from Endoscopy Videos Using Model Training with Synthesized Images by GAN

    Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

        page: 199 - 201   2021.10

  212. Improving Classification Accuracy of Hands' Bone Marrow Edema by Transfer Learning

    Dongping PAN, Masahiro ODA, Kou KATAYAMA, Takanobu Okubo, Kensaku MORI

        page: 150 - 157   2021.10

  213. 腸閉塞・イレウスの病変箇所特定における診断支援システムの精度評価

    小田 紘久, 林 雄一郎, 北坂 孝幸, 玉田 雄大, 滝本 愛太朗, 檜 顕成, 内田 広夫, 鈴木 耕次郎, 小田 昌宏, 森 健策

    第40回日本医用画像工学会大会予稿集     page: 129 - 131   2021.10

  214. Self-attention Class Balanced DenseNet_LSTM framework for Subarachnoid Hemorrhage CT image Classification on Extremely Imbalanced Brain CT Dataset

    第40回日本医用画像工学会大会予稿集     page: 69 - 75   2021.10

  215. VR Organ Puzzle: A Virtual Reality Application for the Education of Human Anatomy

    Siqi LI, Yuichiro HAYASHI,Michitaka FUJIWARA, Masahiro ODA, Kensaku MORI

        page: 493 - 498   2021.10

  216. Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Invited Reviewed International coauthorship

    Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori

    LNCS12969     page: 101 - 110   2021.9

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  217. Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset Invited Reviewed

    Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masahiro Oda, Kensaku Mori

    LNCS12965     page: 24 - 33   2021.9

  218. Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction Invited Reviewed

    Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori

    LNCS 12969     page: 3 - 12   2021.9

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  219. 泌尿器科領域における画像処理

    森 健策

    泌尿器科   Vol. 14 ( 2 ) page: 213 - 220   2021.8

  220. Can artificial intelligence help to detect dysplasia in patients with ulcerative colitis? Invited International journal

    Yasuharu Maeda, Shin-Ei Kudo, Noriyuki Ogata, Masashi Misawa, Yuichi Mori, Kensaku Mori, Kazuo Ohtsuka

    Endoscopy   Vol. 53 ( 07 ) page: E273 - E274   2021.7

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1055/a-1261-2944

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  221. Micro-CT-assisted cross-modality super-resolution of clinical CT: utilization of synthesized training dataset Reviewed

    T. Zheng, H. Oda, S. Nakamura, M. Mori, H. Takabatake, H. Natori, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 12 - 14   2021.6

  222. Unsupervised colonoscopic depth estimation by domain translations with a Lambertian-reflection keeping auxiliary task Invited Reviewed

    Hayato Itoh, Masahiro Oda, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Ito, Kinichi Hotta, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 16 ( 6 ) page: 989 - 1001   2021.6

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    Purpose A three-dimensional (3D) structure extraction technique viewed from a two-dimensional image is essential for the development of a computer-aided diagnosis (CAD) system for colonoscopy. However, a straightforward application of existing depth-estimation methods to colonoscopic images is impossible or inappropriate due to several limitations of colonoscopes. In particular, the absence of ground-truth depth for colonoscopic images hinders the application of supervised machine learning methods. To circumvent these difficulties, we developed an unsupervised and accurate depth-estimation method. Method We propose a novel unsupervised depth-estimation method by introducing a Lambertian-reflection model as an auxiliary task to domain translation between real and virtual colonoscopic images. This auxiliary task contributes to accurate depth estimation by maintaining the Lambertian-reflection assumption. In our experiments, we qualitatively evaluate the proposed method by comparing it with state-of-the-art unsupervised methods. Furthermore, we present two quantitative evaluations of the proposed method using a measuring device, as well as a new 3D reconstruction technique and measured polyp sizes. Results Our proposed method achieved accurate depth estimation with an average estimation error of less than 1 mm for regions close to the colonoscope in both of two types of quantitative evaluations. Qualitative evaluation showed that the introduced auxiliary task reduces the effects of specular reflections and colon wall textures on depth estimation and our proposed method achieved smooth depth estimation without noise, thus validating the proposed method. Conclusions We developed an accurate depth-estimation method with a new type of unsupervised domain translation with the auxiliary task. This method is useful for analysis of colonoscopic images and for the development of a CAD system since it can extract accurate 3D information.

    DOI: 10.1007/s11548-021-02398-x

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  223. AIによる内視鏡外科手術支援と開発基盤としての手術動画データベース構築 Invited Reviewed

    竹下 修由, 森 健策, 伊藤 正昭

    消化器外科   Vol. 44 ( 7 ) page: 1159 - 1166   2021.6

  224. Three-dimensional surgical plan printing for assisting liver surgery, Reviewed

    Y. Hayashi, T. Igami, Y. Nakamura, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 104 - 106   2021.6

  225. COVID-19 lung infection and normal region segmentation from CT volumes using FCN with local and global spatial feature encoder Reviewed

    M. Oda, Y. Hayashi, Y. Otake, M. Hashimoto, T. Akashi, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 19 - 20   2021.6

  226. Experimental evaluation of loss functions in YOLO-v3 training for the perforation detection and localization in colonoscopic videos Reviewed

    K. Jiang, H. Itoh, M. Oda, T. Okumura, Y. Mori, M. Misawa, T. Hayashi, S. E. Kudo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 74 - 75   2021.6

  227. Blood vessel regions segmentation from laparoscopic videos using fully convolutional networks with multi field of view input Reviewed

    K. Mori, S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 56 - 57   2021.6

  228. `Intestine segmentation combining Watershed transformation and machine learning-based distance map estimation Reviewed

    H. Oda, Y. Hayashi, T. Kitasaka, Y. Tamada, A. Takimoto, A. Hinoki, H. Uchida, K. Suzuki, H. Itoh, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 89 - 90   2021.6

  229. Real-time deformation simulation of hollow organs based on XPBD with small time steps and air mesh for surgical simulation Reviewed

    S. Li, Y. Hayashi, M. Oda, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 21 - 25   2021.6

  230. Spatial Information Considered Module based on Attention Mechanism for Self-Supervised Depth Estimation from Laparoscopic Image Pairs Reviewed

    W. Li, Y. Hayashi, M. Oda, T. Kitasaka, K. Misawa, K. Mori

    nternational Journal of Computer Assisted Radiology and Surgery   Vol. 16 ( sup.1 ) page: 45 - 46   2021.6

  231. 機械学習によるCOVID-19症例CT画像の診断支援 Reviewed

    森 健策

    映像情報メディア学会誌   Vol. 75 ( 3 ) page: 326 - 329   2021.5

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  232. Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video). Invited Reviewed International journal

    Masashi Misawa, Shin-Ei Kudo, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Takahisa Matsuda, Shoichi Saito, Toyoki Kudo, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Gastrointestinal endoscopy   Vol. 93 ( 4 ) page: 960 - 967   2021.4

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    BACKGROUND AND AIMS: Artificial intelligence (AI)-assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility of missed adenomas. However, few systems have the necessary regulatory approval for use in clinical practice. We aimed to develop an AI-assisted polyp detection system and to validate its performance using a large colonoscopy video database designed to be publicly accessible. METHODS: To develop the deep learning-based AI system, 56,668 independent colonoscopy images were obtained from 5 centers for use as training images. To validate the trained AI system, consecutive colonoscopy videos taken at a university hospital between October 2018 and January 2019 were searched to construct a database containing polyps with unbiased variance. All images were annotated by endoscopists according to the presence or absence of polyps and the polyps' locations with bounding boxes. RESULTS: A total of 1405 videos acquired during the study period were identified for the validation database, 797 of which contained at least 1 polyp. Of these, 100 videos containing 100 independent polyps and 13 videos negative for polyps were randomly extracted, resulting in 152,560 frames (49,799 positive frames and 102,761 negative frames) for the database. The AI showed 90.5% sensitivity and 93.7% specificity for frame-based analysis. The per-polyp sensitivities for all, diminutive, protruded, and flat polyps were 98.0%, 98.3%, 98.5%, and 97.0%, respectively. CONCLUSIONS: Our trained AI system was validated with a new large publicly accessible colonoscopy database and could identify colorectal lesions with high sensitivity and specificity. (Clinical trial registration number: UMIN 000037064.).

    DOI: 10.1016/j.gie.2020.07.060

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  233. Contrastive Learningを用いた肺野CT画像からCOVID-19の自動判定 Invited Reviewed

    加藤 聡太, 堀田 一弘, 小田 昌宏, 森 健策, 大竹 義人, 橋本 正弘, 明石 敏昭

    電子情報通信学会技術研究報告(MI)   Vol. 120 ( 432 ) page: 82 - 86   2021.3

  234. カスケードCNNによる腹腔鏡動画からの出血領域自動抽出 Invited Reviewed

    山本 翔太, 林 雄一郎, 盛満 慎太郎, 北坂 孝幸, 小田 昌宏, 竹下 修由, 伊藤 雅昭, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 120 ( 431 ) page: 172 - 175   2021.3

  235. Spectral-based Convolutional Graph Neural Networksを用いた腹部動脈領域の血管名自動命名に関する研究 Invited Reviewed

    日比 裕太, 林 雄一郎, 北坂 孝幸, 伊東 隼人, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 120 ( 431 ) page: 176 - 181   2021.3

  236. Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node. Invited Reviewed International journal

    Shin-Ei Kudo, Katsuro Ichimasa, Benjamin Villard, Yuichi Mori, Masashi Misawa, Shoichi Saito, Kinichi Hotta, Yutaka Saito, Takahisa Matsuda, Kazutaka Yamada, Toshifumi Mitani, Kazuo Ohtsuka, Akiko Chino, Daisuke Ide, Kenichiro Imai, Yoshihiro Kishida, Keiko Nakamura, Yasumitsu Saiki, Masafumi Tanaka, Shu Hoteya, Satoshi Yamashita, Yusuke Kinugasa, Masayoshi Fukuda, Toyoki Kudo, Hideyuki Miyachi, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Gastroenterology   Vol. 160 ( 4 ) page: 1075 - 1084.e2   2021.3

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    BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical resections, we used artificial intelligence to build a model to identify T1 colorectal tumors at risk for metastasis to lymph node and validated the model in a separate set of patients. METHODS: We collected data from 3134 patients with T1 CRC treated at 6 hospitals in Japan from April 1997 through September 2017 (training cohort). We developed a machine-learning artificial neural network (ANN) using data on patients' age and sex, as well as tumor size, location, morphology, lymphatic and vascular invasion, and histologic grade. We then conducted the external validation on the ANN model using independent 939 patients at another hospital during the same period (validation cohort). We calculated areas under the receiver operator characteristics curves (AUCs) for the ability of the model and US guidelines to identify patients with lymph node metastases. RESULTS: Lymph node metastases were found in 319 (10.2%) of 3134 patients in the training cohort and 79 (8.4%) of /939 patients in the validation cohort. In the validation cohort, the ANN model identified patients with lymph node metastases with an AUC of 0.83, whereas the guidelines identified patients with lymph node metastases with an AUC of 0.73 (P < .001). When the analysis was limited to patients with initial endoscopic resection (n = 517), the ANN model identified patients with lymph node metastases with an AUC of 0.84 and the guidelines identified these patients with an AUC of 0.77 (P = .005). CONCLUSIONS: The ANN model outperformed guidelines in identifying patients with T1 CRCs who had lymph node metastases. This model might be used to determine which patients require additional surgery after endoscopic resection of T1 CRCs. UMIN Clinical Trials Registry no: UMIN000038609.

    DOI: 10.1053/j.gastro.2020.09.027

    DOI: 10.1053/j.gastro.2020.09.027

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  237. Label cleaning and propagation for improved segmentation performance using fully convolutional networks. Invited Reviewed International journal

    Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Shinya Onogi, Toshihiro Kawase, Kensaku Mori, Yoshikazu Nakajima

    International journal of computer assisted radiology and surgery   Vol. 16 ( 3 ) page: 349 - 361   2021.3

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    PURPOSE: In recent years, fully convolutional networks (FCNs) have been applied to various medical image segmentation tasks. However, it is difficult to generate a large amount of high-quality annotation data to train FCNs for medical image segmentation. Thus, it is desired to achieve high segmentation performances even from incomplete training data. We aim to evaluate performance of FCNs to clean noises and interpolate labels from noisy and sparsely given label images. METHODS: To evaluate the label cleaning and propagation performance of FCNs, we used 2D and 3D FCNs to perform volumetric brain segmentation from magnetic resonance image volumes, based on network training on incomplete training datasets from noisy and sparse annotation. RESULTS: The experimental results using pseudo-incomplete training data showed that both 2D and 3D FCNs could provide improved segmentation results from the incomplete training data, especially by using three orthogonal annotation images for network training. CONCLUSION: This paper presented a validation for label cleaning and propagation based on FCNs. FCNs might have the potential to achieve improved segmentation performances even from sparse annotation data including possible noises by manual annotation, which can be an important clue to more efficient annotation.

    DOI: 10.1007/s11548-021-02312-5

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  238. Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning Reviewed

    Tong Zheng, Masahiro Oda, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

    Proc. SPIE 11596, Medical Imaging, 2021: Image Processing     page: 115963F-1 - 6   2021.2

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    DOI: 10.1117/12.2580641

  239. Extremely imbalanced subarachnoid hemorrhage detection based on enseNet-LSTM network with class-balanced loss and transfer learning Reviewed

    Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori

    Proceedings Volume 11597, Medical Imaging 2021: Computer-Aided Diagnosis     page: 115971Z   2021.2

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    DOI: 10.1117/12.2582088

  240. Single-shot three-dimensional reconstruction for colonoscopic image analysis Reviewed

    Hayato Itoh, Masahiro Oda, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Kinnichi Hotta, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling     page: 115980E-1 - 6   2021.2

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    DOI: 10.1117/12.2582660

  241. Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization Reviewed

    Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Yudai Tamada, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Proc.SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis     2021.2

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    DOI: 10.1117/12.2581261

  242. Lung infection and normal region segmentation from CT volumes of COVID-19 cases Reviewed

    Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori

    Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis     page: 115972X-1 - 6   2021.2

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    DOI: 10.1117/12.2582066

  243. Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks Reviewed

    Yuichiro Hayashi, Masahiro Oda, Chen Shen, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Kensaku Mori

    Proc.SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis     page: 115972A-1 - 6   2021.2

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    DOI: 10.1117/12.2581818

  244. 人工知能(AI)最新動向 AI研究から見たRSNA-AIの広がりを感じる大会 Invited

    森 健策

    インナービジョン   Vol. 36 ( 2 ) page: 25 - 26   2021.2

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  245. CT画像XAI技術で「新型コロナウィルス肺炎」を85%精度で識別

    小田 昌宏, 森 健策

    C-press   Vol. 120   page: 5 - 6   2021.2

  246. COVID-19診断支援AI開発における名古屋大学の取り組み

    小田 昌宏, 鄭 通, 林 雄一郎, 森 健策

      Vol. 39 ( 1 ) page: 13 - 19   2021.2

  247. New method for the assessment of perineural invasion from perihilar cholangiocarcinoma Reviewed

    Hiroshi Tanaka, Tsuyoshi Igami, Yoshie Shimoyama, Tomoki Ebata, Yukihiro Yokoyama, Kensaku Mori, Masato Nagino,

    Surgery Today   Vol. 51 ( 2 ) page: 136 - 143   2021.1

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    DOI: 10.1007/s00595-020-02071-x

  248. Current status and future perspective on artificial intelligence for lower endoscopy. Invited International journal

    Masashi Misawa, Shin-Ei Kudo, Yuichi Mori, Yasuharu Maeda, Yushi Ogawa, Katsuro Ichimasa, Toyoki Kudo, Kunihiko Wakamura, Takemasa Hayashi, Hideyuki Miyachi, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society   Vol. 33 ( 2 ) page: 273 - 284   2021.1

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    The global incidence and mortality rate of colorectal cancer remains high. Colonoscopy is regarded as the gold standard examination for detecting and eradicating neoplastic lesions. However, there are some uncertainties in colonoscopy practice that are related to limitations in human performance. First, approximately one-fourth of colorectal neoplasms are missed on a single colonoscopy. Second, it is still difficult for non-experts to perform adequately regarding optical biopsy. Third, recording of some quality indicators (e.g. cecal intubation, bowel preparation, and withdrawal speed) which are related to adenoma detection rate, is sometimes incomplete. With recent improvements in machine learning techniques and advances in computer performance, artificial intelligence-assisted computer-aided diagnosis is being increasingly utilized by endoscopists. In particular, the emergence of deep-learning, data-driven machine learning techniques have made the development of computer-aided systems easier than that of conventional machine learning techniques, the former currently being considered the standard artificial intelligence engine of computer-aided diagnosis by colonoscopy. To date, computer-aided detection systems seem to have improved the rate of detection of neoplasms. Additionally, computer-aided characterization systems may have the potential to improve diagnostic accuracy in real-time clinical practice. Furthermore, some artificial intelligence-assisted systems that aim to improve the quality of colonoscopy have been reported. The implementation of computer-aided system clinical practice may provide additional benefits such as helping in educational poorly performing endoscopists and supporting real-time clinical decision-making. In this review, we have focused on computer-aided diagnosis during colonoscopy reported by gastroenterologists and discussed its status, limitations, and future prospects.

    DOI: 10.1111/den.13847

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  249. Dense-layer-based YOLO-v3 for detection and localization of colon perforations Invited Reviewed

    Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

    Medical Imaging 2021: Computer-Aided Diagnosis   Vol. 11597   page: 115971A-1 - 6   2021

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    DOI: 10.1117/12.2582300

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  250. Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics. Invited Reviewed International journal

    Hayato Itoh, Yukitaka Nimura, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kinichi Hotta, Kazuo Ohtsuka, Shoichi Saito, Yutaka Saito, Hiroaki Ikematsu, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori

    International journal of computer assisted radiology and surgery   Vol. 15 ( 12 ) page: 2049 - 2059   2020.12

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    PURPOSE: An endocytoscope is a new type of endoscope that enables users to perform conventional endoscopic observation and ultramagnified observation at the cell level. Although endocytoscopy is expected to improve the cost-effectiveness of colonoscopy, endocytoscopic image diagnosis requires much knowledge and high-level experience for physicians. To circumvent this difficulty, we developed a robust endocytoscopic (EC) image classification method for the construction of a computer-aided diagnosis (CAD) system, since real-time CAD can resolve accuracy issues and reduce interobserver variability. METHOD: We propose a novel feature extraction method by introducing higher-order symmetric tensor analysis to the computation of multi-scale topological statistics on an image, and we integrate this feature extraction with EC image classification. We experimentally evaluate the classification accuracy of our proposed method by comparing it with three deep learning methods. We conducted this comparison by using our large-scale multi-hospital dataset of about 55,000 images of over 3800 patients. RESULTS: Our proposed method achieved an average 90% classification accuracy for all the images in four hospitals even though the best deep learning method achieved 95% classification accuracy for images in only one hospital. In the case with a rejection option, the proposed method achieved expert-level accurate classification. These results demonstrate the robustness of our proposed method against pit pattern variations, including differences of colours, contrasts, shapes, and hospitals. CONCLUSIONS: We developed a robust EC image classification method with novel feature extraction. This method is useful for the construction of a practical CAD system, since it has sufficient generalisation ability.

    DOI: 10.1007/s11548-020-02255-3

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  251. [総論]AI時代を見据えた消化器外科手術 AIによる大腸T2癌リンパ節転移予測 Invited Reviewed

    中原 健太, 石田 文生, 一政 克朗, 森 悠一, 三澤 将史, 澤田 成彦, 工藤 進英, Villard Ben, 伊東 隼人, 森 健策

    日本消化器外科学会総会   Vol. 75回   page: WS15 - 6   2020.12

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  252. Improving contrast and spatial resolution in crystal analyzer based x ray dark field imaging Reviewed

    Masami Ando Yuki Nakao Ge Jin Hiroshi Sugiyama Naoki Sunaguchi Yongjin Sung Yoshifumi Suzuki Yong Sun Michio Tanimoto Katsuhiro Kawashima Tetsuya Yuasa Kensaku Mori Shu Ichihara Rajiv Gupta,

    Medical Physics   Vol. 47 ( 11 ) page: 5505 - 5513   2020.11

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    DOI: 10.1002/mp.14442

  253. 多元計算解剖モデルと人工知能に基づく診断治療支援 Invited Reviewed

    森 健策

    映像情報メディア学会誌   Vol. 74 ( 6 ) page: 909-915   2020.11

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  254. Preliminary study of Loss-Function Design for Detection and Localization of Perforations with YOLO-v3 in Colonoscopic Images

      Vol. 22 ( 4 ) page: 348 - 349   2020.11

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  255. 腸閉塞およびイレウスの診断支援システムにおける距離マップの導入

    小田 紘久, 林 雄一郎, 北坂 孝幸,玉田 雄大,滝本 愛太朗,檜 顕成, 内田 広夫,鈴木 耕次郎, 伊東 隼人,小田 昌宏,森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 282 - 284   2020.11

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  256. 局所情報に注目した腹腔鏡動画像からの出血領域抽出

    山本 翔太, 盛満 慎太郎,林 雄一郎,北坂 孝幸,小田 昌宏,伊藤 雅昭,竹下 修由, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 285 - 286   2020.11

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  257. Dilated convolution を用いた腹腔鏡動画像からの血管領域抽出における空間情報利用に関する検討

    盛満 慎太郎, 山本 翔太, 小澤 卓也, 北坂 孝幸, 林 雄一郎, 小田 昌宏, 伊藤 雅昭, 竹下 修由,三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 287 - 288   2020.11

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  258. 表現学習に基づくクラスタリングによるCOVID-19 肺CT像からの病変部抽出手法

    鄭 通, 小田 昌宏, 王 成龍,林 雄一郎,橋本 正弘, 大竹 義人,明石 敏昭, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 294 - 295   2020.11

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  259. 深層学習によるMRI画像からの神経鞘腫の自動位置検出

    小田 昌宏, 伊藤 定之, 今釜 史郎, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 296 - 297   2020.11

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  260. 腹腔鏡動画像用オンラインアノテーションツールの開発

    屠 芸豪, 伊東 隼人,小澤 卓也,小田 昌宏, 竹下 修由,伊藤 雅昭,森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 306 - 307   2020.11

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  261. 呼吸器外科における仮想胸腔鏡像による手術ナビゲーションシステムを用いた手術支援の検討

    林 雄一郎, 中村 彰太,森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 337   2020.11

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  262. 気管支鏡ナビゲーションのための敵対的生成による内視鏡画像深度推定の評価

    王 成, 小田 昌宏,林 雄一郎,北坂 孝幸,本間 裕敏,高畠 博嗣,森 雅樹,名取 博, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 338 - 339   2020.11

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  263. SUN database : 大腸ポリープ自動検出器の精度評価に向けた試験用画像

    伊東 隼人, 三澤 将史,森 悠一,小田 昌宏,工藤 進英, 森 健策

    日本コンピュータ外科学会誌 第29回日本コンピュータ外科学会大会特集号   Vol. 22 ( 4 ) page: 346 - 347   2020.11

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  264. Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video). Invited Reviewed International journal

    Yuichi Mori, Shin-Ei Kudo, James E East, Amit Rastogi, Michael Bretthauer, Masashi Misawa, Masau Sekiguchi, Takahisa Matsuda, Yutaka Saito, Hiroaki Ikematsu, Kinichi Hotta, Kazuo Ohtsuka, Toyoki Kudo, Kensaku Mori

    Gastrointestinal endoscopy   Vol. 92 ( 4 ) page: 905 - 911   2020.10

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    BACKGROUND AND AIMS: Artificial intelligence (AI) is being implemented in colonoscopy practice, but no study has investigated whether AI is cost saving. We aimed to quantify the cost reduction using AI as an aid in the optical diagnosis of colorectal polyps. METHODS: This study is an add-on analysis of a clinical trial that investigated the performance of AI for differentiating colorectal polyps (ie, neoplastic versus non-neoplastic). We included all patients with diminutive (≤5 mm) rectosigmoid polyps in the analyses. The average colonoscopy cost was compared for 2 scenarios: (1) a diagnose-and-leave strategy supported by the AI prediction (ie, diminutive rectosigmoid polyps were not removed when predicted as non-neoplastic), and (2) a resect-all-polyps strategy. Gross annual costs for colonoscopies were also calculated based on the number and reimbursement of colonoscopies conducted under public health insurances in 4 countries. RESULTS: Overall, 207 patients with 250 diminutive rectosigmoid polyps (104 neoplastic, 144 non-neoplastic, and 2 indeterminate) were included. AI correctly differentiated neoplastic polyps with 93.3% sensitivity, 95.2% specificity, and 95.2% negative predictive value. Thus, 105 polyps were removed and 145 were left under the diagnose-and-leave strategy, which was estimated to reduce the average colonoscopy cost and the gross annual reimbursement for colonoscopies by 18.9% and US$149.2 million in Japan, 6.9% and US$12.3 million in England, 7.6% and US$1.1 million in Norway, and 10.9% and US$85.2 million in the United States, respectively, compared with the resect-all-polyps strategy. CONCLUSIONS: The use of AI to enable the diagnose-and-leave strategy results in substantial cost reductions for colonoscopy.

    DOI: 10.1016/j.gie.2020.03.3759

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  265. Prediction of dose distribution from luminescence image of water using a deep convolutional neural network for particle therapy Reviewed

    Takuya Yabe, Seiichi Yamamoto, Masahiro Oda, Kensaku Mori, Toshiyuki Toshito, Takashi Akagi

    Medical Physics   Vol. 47 ( 9 ) page: 3882-3891   2020.9

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    DOI: 10.1002/mp.14372

  266. 名古屋大学スーパーコンピュータ「不老」における医用画像処理

    大島 聡史, 小田 昌宏, 片桐 孝洋, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 120 ( 156 ) page: 69 - 74   2020.9

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  267. ニューラルネットワークとSpherical K-meansを用いた胃壁マイクロCT像からの層構造および腫瘍抽出の検討

    御手洗 翠, 小田 紘久, 杉野 貴明, 守谷 享泰, 伊東 隼人, 小田 昌宏, 小宮山 琢真, 古川 和宏, 宮原 良二, 藤城 光弘, 森 雅樹, 高畠 博嗣, 名取 博, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 120 ( 156 ) page: 1 - 6   2020.9

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  268. 腹腔鏡手術動画像データベース構築に向けたリモートアノテーションツールのプロトタイプ開発

    屠 芸豪, 伊東 隼人, 小澤 卓也, 小田 昌宏, 竹下 修由, 伊藤 雅昭, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 611 - 615   2020.9

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  269. Preliminary Study of Perforation Detection and Localization for Colonoscopy Video

    Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

        page: 142 - 147   2020.9

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  270. 読影レポート解析を利用した医用画像データベースからのアノテーション付きデータセット作成に関する初期検討

    林 雄一郎, 鈴村 悠輝, 岡崎 真治, 小田 昌宏, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 163 - 167   2020.9

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  271. A study on Subarachnoid Hemorrhage automatic detection utilized Transfer Learning on extremely imbalanced brain CT datasets

    Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Ito,Takeyuki Watadani,Osamu Abe,Masahiro Hashimoto,Masahiro Jinzaki,Kensaku Mori

        page: 168 - 172   2020.9

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  272. COVID-19 症例の定量評価のためのCT 像からの肺野自動セグメンテーション

    小田 昌宏, 林 雄一郎, 大竹 義人, 橋本 正弘, 明石 敏昭, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 181 - 184   2020.9

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  273. Preliminary Study on Classification of Interstitial Cystitis Using Cystoscopy Images

    Tao Chu, Masahiro Oda, Akira Furuta, Tokunori Yamamoto, Kensaku Mori

        page: 186 - 191   2020.9

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  274. Dilated convolution を用いた FCN による腹腔鏡動画像からの血管領域抽出

    盛満 慎太郎, 山本 翔太, 北坂 孝幸, 林 雄一郎, 小田 昌宏, 竹下 修由, 伊藤 雅昭, 三澤 一成, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 230 - 233   2020.9

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  275. 大域及び局所情報を用いた深層学習による出血領域自動セグメンテーション

    山本 翔太, 盛満 慎太郎, 林 雄一郎, 北坂 孝幸, 小田 昌宏, 伊藤 雅昭, 竹下 修由, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 246 - 249   2020.9

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  276. 広範囲の隣接関係を考慮したグラフニューラルネットワークを用いた腹部動脈血管名自動命名の検討

    日比 裕太, 林 雄一郎, 北坂 孝幸, 伊東 隼人, 小田 昌宏, 三澤 一成, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 268 - 271   2020.9

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  277. Cross-phase CT Image Registration Using Convolutional Neural Network

    Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako Kunishishima Kumamaru, Shigeki Aoki, Kensaku Mori

        page: 276 - 280   2020.9

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  278. Unsupervised 3D Super-resolution of Clinical CT Volumes by Utilizing Multi-axis 2D Super-resolution

    第39回日本医用画像工学会大会予稿集     page: 377 - 384   2020.9

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  279. Preliminary Study on Classification of Hands' Bone Marrow Edema Using X-ray Images

    Dongping Pan, Masahiro Oda, Kou Katayama, Takanobu Okubo, Kensaku Mori

        page: 488 - 493   2020.9

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  280. 大腸内視鏡のための教師なし深度画像推定法における補助タスク検討

    伊東 隼人, 小田 昌宏, 森 悠一, 三澤 将史, 工藤 進英, 堀田 欣一, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第39回日本医用画像工学会大会予稿集     page: 563 - 568   2020.9

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  281. Spatial Information Considered Self-Supervised Depth Estimation Based on Image Pairs from Stereo Laparoscope

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

        page: 602 - 606   2020.9

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  282. 泌尿器科画像診断に用いられるAI技術とその応用

    森 健策

    泌尿器外科   Vol. 33 ( 6 ) page: 557-561   2020.6

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  283. Detecting ganglion cells on virtual slide images: Macroscopic masking by superpixel Reviewed

    H. Oda, Y. Tamada, K. Nishio, T. Kitasaka, H. Amano, K. Chiba, A. Hinoki, H. Uchida, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S169 - S170   2020.6

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  284. An Application of Multi-organ Segmentation from Thick-slice Abdominal CT Volumes using Transfer Learning Reviewed

    C. Shen, M. Oda, H. Roth, H. Oda, Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S17 - S18   2020.6

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  285. Virtual cleansing by unpaired image translation of intestines for detecting obstruction Reviewed

    K. Nishio, H. Oda, T. Kitasaka, Y. Tamada, H. Amano, A. Takimoto, K. Chiba, Y. Hayashi, H. Itoh, M. Oda, A. Hinoki, H. Uchida, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S21 - S22   2020.6

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  286. TinyLoss: loss function for tiny image difference evaluation and its application to unpaired non-contrast to contrast abdominal CT estimation Reviewed

    M. Oda, T. Hu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S25 - S26   2020.6

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  287. SR-CycleGAN V2: CycleGAN-based unsupervised superresolution with pixel-shuffling Reviewed

    T. Zheng, H. Oda, T. Moriya, T. Sugino, S. Nakamura, M. Oda, M. Mori, H. Takabatake, H. Natori, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S27 - S28   2020.6

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  288. Blood vessel segmentation from laparoscopic video using ConvLSTM U-Net

    S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S63 - S64   2020.6

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  289. Extraction of blood vessel regions in liver from CT volumes using fully convolutional networks for computer assisted liver surgery Reviewed

    Y. Hayashi, C. Shen, T. Igami, M. Nagino, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 15 ( 1 ) page: S152 - S153   2020.6

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  290. AIによるSSA/Pの超拡大内視鏡診断 Invited Reviewed

    小川 悠史, 工藤 進英, 森 悠一, 三澤 将史, 片岡 伸一, 前田 康晴, 一政 克朗, 石垣 智之, 工藤 豊樹, 若村 邦彦, 林 武雅, 馬場 俊之, 石田 文生, 伊東 隼人, 小田 昌宏, 森 健策

    日本大腸検査学会雑誌   Vol. 36 ( 2 ) page: 125 - 125   2020.5

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  291. バーチャル・リアリティ手術シュミレーター(VRS)の意義と今後の展望

    藤原 道隆, 林 雄一郎, 高見 秀樹, 田中 千恵, 森 健策, 小寺 泰弘

    臨床外科   Vol. 75 ( 4 ) page: 476 - 482   2020.4

  292. Cardiac fiber tracking on super high-resolution CT images: a comparative study. Invited International journal

    Hirohisa Oda, Holger R Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori

    Journal of medical imaging (Bellingham, Wash.)   Vol. 7 ( 2 ) page: 026001 - 026001   2020.3

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    Purpose: High-resolution cardiac imaging and fiber analysis methods are required to understand cardiac anatomy. Although refraction-contrast x-ray CT (RCT) has high soft tissue contrast, it cannot be commonly used because it requires a synchrotron system. Microfocus x-ray CT ( μ CT ) is another commercially available imaging modality. Approach: We evaluate the usefulness of μ CT for analyzing fibers by quantitatively and objectively comparing the results with RCT. To do so, we scanned a rabbit heart by both modalities with our original protocol of prepared materials and compared their image-based analysis results, including fiber orientation estimation and fiber tracking. Results: Fiber orientations estimated by two modalities were closely resembled under the correlation coefficient of 0.63. Tracked fibers from both modalities matched well the anatomical knowledge that fiber orientations are different inside and outside of the left ventricle. However, the μ CT volume caused incorrect tracking around the boundaries caused by stitching scanning. Conclusions: Our experimental results demonstrated that μ CT scanning can be used for cardiac fiber analysis, although further investigation is required in the differences of fiber analysis results on RCT and μ CT .

    DOI: 10.1117/1.JMI.7.2.026001

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  293. 3Dプリンティングの最新動向 Invited

    森 健策

    インナービジョン   Vol. 35 ( 2 ) page: 36-37   2020.2

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  294. Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization Reviewed

    Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11313   2020.2

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  295. Organ segmentation from full-size CT images using memory-efficient FCN Reviewed

    Chenglong Wang, Masahiro Oda, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11314   2020.2

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  296. Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database Reviewed

    Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11313   2020.2

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  297. Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images Reviewed

    Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11314   2020.2

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  298. Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis Reviewed

    Hayato Itoh, Zhongyang Lu, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11314   2020.2

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  299. Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset Reviewed

    Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11314   2020.2

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  300. Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique Reviewed

    Masahiro Oda, Naoyuki Maeda, Takefumi Yamaguchi, Hideki Fukuoka, Yuta Ueno, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11314   2020.2

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  301. Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Medical Imaging 2020: Image Processing   Vol. 11315   2020.2

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  302. 仮想腹腔鏡画像生成と深層学習による腹腔鏡画像からの術具領域セグメンテーション

    小澤 卓也, 林 雄一郎, 小田 紘久, 小田 昌宏, 北坂 孝幸, 竹下 修由, 伊藤 雅昭, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 399 ) page: 129 - 134   2020.1

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  303. 腹腔鏡下手術支援のためのU-Netに基づく腹腔鏡動画像からの出血領域の推定

    山本 翔太, 林 雄一郎, 盛満 慎太郎, 小澤 卓也, 北坂 孝幸, 小田 昌宏, 竹下 修由, 伊藤 雅昭, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 399 ) page: 209 - 214   2020.1

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  304. MICCAI 2019参加報告

    小田 昌宏, 伊東 隼人, 宮内 翔子, 諸岡 健一, 松崎 博貴, 花岡 昇平, 古川 亮, 増谷 佳孝, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 399 ) page: 219 - 226   2020.1

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  305. CycleGANによる腸管電子洗浄とその腸管閉塞部位検出への応用

    西尾 光平, 小田 紘久, 千馬 耕亮, 北坂 孝幸, 林 雄一郎, 伊東 隼人, 小田 昌宏, 檜 顕成, 内田 広夫, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 399 ) page: 243 - 248   2020.1

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  306. 臨床肺CT画像と切除肺マイクロCT画像の非剛体位置合わせ手法の検討

    波多腰 慎矢, 小田 紘久, 林 雄一郎, Holger R. Roth, 中村 彰太, 小田 昌宏, 森 雅樹, 高畠 博嗣, 名取 博, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 399 ) page: 249 - 254   2020.1

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  307. Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset. International journal

    Hayato Itoh, Holger Roth, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-Ei Kudo, Kensaku Mori

    Healthcare technology letters   Vol. 6 ( 6 ) page: 237 - 242   2019.12

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    This Letter presents a stable polyp-scene classification method with low false positive (FP) detection. Precise automated polyp detection during colonoscopies is essential for preventing colon-cancer deaths. There is, therefore, a demand for a computer-assisted diagnosis (CAD) system for colonoscopies to assist colonoscopists. A high-performance CAD system with spatiotemporal feature extraction via a three-dimensional convolutional neural network (3D CNN) with a limited dataset achieved about 80% detection accuracy in actual colonoscopic videos. Consequently, further improvement of a 3D CNN with larger training data is feasible. However, the ratio between polyp and non-polyp scenes is quite imbalanced in a large colonoscopic video dataset. This imbalance leads to unstable polyp detection. To circumvent this, the authors propose an efficient and balanced learning technique for deep residual learning. The authors' method randomly selects a subset of non-polyp scenes whose number is the same number of still images of polyp scenes at the beginning of each epoch of learning. Furthermore, they introduce post-processing for stable polyp-scene classification. This post-processing reduces the FPs that occur in the practical application of polyp-scene classification. They evaluate several residual networks with a large polyp-detection dataset consisting of 1027 colonoscopic videos. In the scene-level evaluation, their proposed method achieves stable polyp-scene classification with 0.86 sensitivity and 0.97 specificity.

    DOI: 10.1049/htl.2019.0079

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  308. Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation

    Masahiro Oda, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    MICCAI 2019 Healthcare Technology Letters   Vol. 6 ( 6 ) page: 214 - 219   2019.12

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    DOI: 10.1049/htl.2019.0071

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  309. Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation

    Masahiro Oda, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Healthcare Technology Letters   Vol. 6 ( 6 ) page: 214-219   2019.12

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  310. Generative Adversarial Networks Showcase: Their Mechanisms and Radiological Applications

    Masahiro Oda, Hirohisa Oda, Kanako K. Kumamaru, Shigeki Aoki, Hiroshi Natori, Kensaku Mori, Masaki Mori, Hirotsugu Takabatake

    RSNA2019     page: AI020-EB-X   2019.12

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  311. Automatic Quantitative Analysis of Kidney Tumor Using 3D Fully Convolutional Network

    Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Naoto Sassa, Tokunori Yamamoto, Kensaku Mori

    RSNA2019     page: UR002-EB-X   2019.12

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  312. Technique for Improving Accuracy of Deep Learning-based Multi-Organ Segmentation from CT Volumes

    Chen Shen, Hirohisa Oda, MENG, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi, Kensaku Mori, Takayuki Kitasaka, Kazunari Misawa

    RSNA2019     page: N021-EC-X   2019.12

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  313. Micro Lung Cancer Analysis Based on Micro CT Imaging Using Generative Adversarial Network

    Kensaku Mori, Takayasu Moriya, Hirohisa Oda, MENG , Midori Mitarai, Masahiro Oda, Shota Nakamura, Takaaki Sugino, Holger R. Roth

    RSNA2019     page: CH007-EC-X   2019.12

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  314. 大腸肛門病理学におけるAI利用の将来像

    森 健策

    日本大腸肛門病学学術集会 抄録号     page: A17   2019.10

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  315. 機械学習を用いた医療支援

    森 健策

    第84回日本泌尿器気学会東部総会, プログラム 抄録集     page: 123   2019.10

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  316. Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models

    Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, Kensaku Mori

    MICCAI 2019   Vol. LNCS 11769   page: 240-248   2019.10

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  317. Tubular Structure Segmentation Using Spatial Fully Connected Network With Radial Distance Loss for 3D Medical images

    Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro Frangi, Kensaku Mori

    MICCAI 2019   Vol. LNCS 11769   page: 348-356   2019.10

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  318. Intelligent Image Synthesis to Attack a egmentation CNN Using Adversarial Learning

    Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

    MICCAI 2019   Vol. LNCS 11827   page: 90-99   2019.10

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  319. Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis

    Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Benjamin Villard, Hizuru Amano, Kosuke Chiba, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

    MICCAI 2019   Vol. LNCS 11840   page: 104-114   2019.10

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  320. 胸部領域AIの歴史と今後-歴史的研究を振り返りながら今後を展望する-

    森 健策

    臨床画像   Vol. 35 ( 10 ) page: 1139-1149   2019.10

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  321. 人工知能時代の医療を考える

    森 健策

    EAJ NEWS「AI×医療」特集号   ( 181 ) page: 6-8   2019.10

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  322. Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams

    Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori

    Computerized Medical Imaging and Graphics   Vol. 77 ( 10642 ) page: 1-13   2019.10

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    DOI: 10.1016/j.compmedimag.2019.101642

  323. Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models

    Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, Kensaku Mori,

    LNCS11769     page: 240-248   2019.10

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  324. Tubular Structure Segmentation Using Spatial Fully Connected Network With Radial Distance Loss for 3D Medical images

    Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro Frangi, Kensaku Mori

    LNCS11769     page: 348-356   2019.10

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  325. Intelligent Image Synthesis to Attack a segmentation CNN Using Adversarial Learning

    Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert,

    LNCS11827     page: 90-99   2019.10

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  326. Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis

    Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Benjamin Villard, Hizuru Amano, Kosuke Chiba, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

    LNCS 11840     page: 104-114   2019.10

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  327. Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms. Reviewed International journal

    Shin-Ei Kudo, Masashi Misawa, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Hiroaki Ikematsu, Yutaka Saito, Kenichi Takeda, Hiroki Nakamura, Katsuro Ichimasa, Tomoyuki Ishigaki, Naoya Toyoshima, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Toshiyuki Baba, Ishida Fumio, Haruhiro Inoue, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association   Vol. 18 ( 8 ) page: 1874 - 1881   2019.9

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    BACKGROUND & AIMS: Precise optical diagnosis of colorectal polyps could improve the cost-effectiveness of colonoscopy and reduce polypectomy-related complications. However, it is difficult for community-based non-experts to obtain sufficient diagnostic performance. Artificial intelligence-based systems have been developed to analyze endoscopic images; they identify neoplasms with high accuracy and low interobserver variation. We performed a multi-center study to determine the diagnostic accuracy of EndoBRAIN, an artificial intelligence-based system that analyzes cell nuclei, crypt structure, and microvessels in endoscopic images, in identification of colon neoplasms. METHODS: The EndoBRAIN system was initially trained using 69,142 endocytoscopic images, taken at 520-fold magnification, from patients with colorectal polyps who underwent endoscopy at 5 academic centers in Japan from October 2017 through March 2018. We performed a retrospective comparative analysis of the diagnostic performance of EndoBRAIN vs that of 30 endoscopists (20 trainees and 10 experts); the endoscopists assessed images from 100 cases produced via white-light microscopy, endocytoscopy with methylene blue staining, and endocytoscopy with narrow-band imaging. EndoBRAIN was used to assess endocytoscopic, but not white-light, images. The primary outcome was the accuracy of EndoBrain in distinguishing neoplasms from non-neoplasms, compared with that of endoscopists, using findings from pathology analysis as the reference standard. RESULTS: In analysis of stained endocytoscopic images, EndoBRAIN identified colon lesions with 96.9% sensitivity (95% CI, 95.8%-97.8%), 100% specificity (95% CI, 99.6%-100%), 98% accuracy (95% CI, 97.3%-98.6%), a 100% positive-predictive value (95% CI, 99.8%-100%), and a 94.6% negative-predictive (95% CI, 92.7%-96.1%); these values were all significantly greater than those of the endoscopy trainees and experts. In analysis of narrow-band images, EndoBRAIN distinguished neoplastic from non-neoplastic lesions with 96.9% sensitivity (95% CI, 95.8-97.8), 94.3% specificity (95% CI, 92.3-95.9), 96.0% accuracy (95% CI, 95.1-96.8), a 96.9% positive-predictive value, (95% CI, 95.8-97.8), and a 94.3% negative-predictive value (95% CI, 92.3-95.9); these values were all significantly higher than those of the endoscopy trainees, sensitivity and negative-predictive value were significantly higher but the other values are comparable to those of the experts. CONCLUSIONS: EndoBRAIN accurately differentiated neoplastic from non-neoplastic lesions in stained endocytoscopic images and endocytoscopic narrow-band images, when pathology findings were used as the standard. This technology has been authorized for clinical use by the Japanese regulatory agency and should be used in endoscopic evaluation of small polyps more widespread clinical settings. UMIN clinical trial no: UMIN000028843.

    DOI: 10.1016/j.cgh.2019.09.009

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  328. 人工知能による画像診断支援-どこまでできたか.そして,その先は?

    森 健策

    第46回 日本小児内視鏡研究会 プログラム・抄録集     page: 11   2019.7

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  329. Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective. International journal

    Yuichi Mori, Shin-Ei Kudo, Hussein E N Mohmed, Masashi Misawa, Noriyuki Ogata, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society   Vol. 31 ( 4 ) page: 378 - 388   2019.7

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    With recent breakthroughs in artificial intelligence, computer-aided diagnosis (CAD) for upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in this field include automated identification of dysplasia in Barrett's esophagus and detection of early gastric cancers. By helping endoscopists avoid missing and mischaracterizing neoplastic change in both the esophagus and the stomach, these technologies potentially contribute to solving current limitations of gastroscopy. Currently, optical diagnosis of early-stage dysplasia related to Barrett's esophagus can be precisely achieved only by endoscopists proficient in advanced endoscopic imaging, and the false-negative rate for detecting gastric cancer is approximately 10%. Ideally, these novel technologies should work during real-time gastroscopy to provide on-site decision support for endoscopists regardless of their skill; however, previous studies of these topics remain ex vivo and experimental in design. Therefore, the feasibility, effectiveness, and safety of CAD for upper gastrointestinal endoscopy in clinical practice remain unknown, although a considerable number of pilot studies have been conducted by both engineers and medical doctors with excellent results. This review summarizes current publications relating to CAD for upper gastrointestinal endoscopy from the perspective of endoscopists and aims to indicate what is required for future research and implementation in clinical practice.

    DOI: 10.1111/den.13317

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  330. Artificial intelligence and upper gastrointestinal endoscopy: current status and future perspective Reviewed

    Yuichi Mori, Shinei Kudo, Hussein Ebaid Naeem Mohmed, Masashi Misawa, Noriyuki Ogata, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Digestive endoscopy   Vol. 34 ( 4 ) page: 378-388   2019.7

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    DOI: 10.1111 den.13317

  331. 大腸内視鏡(コロノスコピー)画像診断支援ソフトウェアの開発

    森 健策

    インナービジョン 2019年7月号   Vol. 34 ( 7 ) page: 45   2019.7

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  332. 内視鏡検査手術における超音波画像の利用-マルチモダリティ画像統合-

    森 健策

    計測と制御   Vol. 58 ( 7 ) page: 541-544   2019.7

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  333. 単眼腹腔鏡映像からの奥行き推定を利用した術具セグメンテーション

    鈴木 拓矢, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP1-11   2019.7

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  334. 多元計算解剖学のその先にあるもの

    森 健策

    第38回日本医用画像工学会大会予稿集     page: SY2-5   2019.7

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  335. 3D fully convolutional network を用いた腎腫瘍の定量評価における初期検討

    王 成龍, 小田 昌宏, 林 雄一郎, 佐々 直人, 山本 徳則, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP5-23   2019.7

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  336. 深層学習を用いた非造影 CT 画像からの複数臓器領域の抽出に関する検討

    林 雄一郎, 申 忱, Roth Holger, 小田 昌宏, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP5-14   2019.7

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  337. グラフ畳み込みニューラルネットワークを用いた腹部動脈血管名自動命名の初期検討

    日比 裕太, 林 雄一郎, 北坂 孝幸, 伊東 隼人, 小田 昌宏, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP5-11   2019.7

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  338. 移学習を用いた腹部 thick-slice CT 像における多臓器領域の自動抽出の初期検討

    申 忱, ロス ホルガー, 林 雄一郎, 小田 紘久, 小田 昌宏, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP4-15   2019.7

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  339. 深層学習を用いた腹腔鏡手術動画像の出血領域自動セグメンテーション

    山本 翔太, 小田 紘久, 林 雄一郎, 北坂 孝幸, 小田 昌宏, 伊藤 雅昭, 竹下 修由, 森 健策

    第38回日本医用画像工学会大会予稿     page: OP4-13   2019.7

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  340. 開腹手術映像における遮蔽物除去システムの VR 化

    北坂 孝幸, 伊藤 幹也, 駒形 和哉, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP4-10   2019.7

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  341. μ CT を用いた改良版 Cycle-GAN による臨床用 CT 像の超解像処理

    鄭 通, 小田 紘久, 守谷 享泰, 杉野 貴明, 中村 彰太, 小田 昌弘, 森 雅樹, 高畠 博嗣, 名取 博, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP4-02   2019.7

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  342. 小児腸閉塞患者の CT 像における CycleGAN を用いた電子洗浄手法の検討

    西尾 光平, 小田 紘久, 千馬 耕亮, 北坂 孝幸, 伊東 隼人, 小田 昌宏, 檜 顕成, 内田 広夫, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP3-20   2019.7

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  343. 腹腔鏡動画像からの Fully Convolutional Network による血管領域抽出

    盛満 慎太郎, 小澤 卓也, 北坂 孝幸, 林 雄一郎, 小田 昌宏, 伊藤 雅昭, 竹下 修由, 三澤 一成, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP3-12   2019.7

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  344. Generative Adversarial Frameworks を用いた腹部 CT 像における非造影像からの造影像の推定

    小田 昌宏, 隈丸 加奈子, 青木 茂樹, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP3-07   2019.7

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  345. AMED 大規模データベースを用いた CT 画像解析と病変検出への応用

    森 健策,小田 昌宏

    第38回日本医用画像工学会大会予稿集     page: SY1-5   2019.7

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  346. Polyp size classification in colorectal cancer using a Siamese network

        page: OP2-14   2019.7

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  347. 表現学習と SVM による胃壁マイクロ CT 像の半教師ありセグメンテーション手法

    御手洗 翠, 小田 紘久, 杉野 貴明, 守谷 享泰, 伊東 隼人, 小田 昌宏, 小宮山 琢真, 森 雅樹, 高畠 博嗣, 名取 博, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP2-08   2019.7

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  348. 深層学習における学習データセット規模拡大に応じた分類精度向上に関する実験的検討 ~超拡大大腸内視鏡画像における腫瘍性病変分類に向けた特徴量抽出~

    伊東 隼人, 森 悠一, 三澤 将史, 小田 昌宏, 工藤 進英, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP1-24   2019.7

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  349. 少量のラベルデータを用いた学習によるイレウス症例 CT 像における拡張腸管の自動抽出

    小田 紘久, 西尾 光平, 北坂 孝幸, 天野 日出, 千馬 耕亮, 内田 広夫, 鈴木 耕次郞, 伊東 隼人, 小田 昌宏, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP1-15   2019.7

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  350. 3D fully convolutional network を用いた腎腫瘍の定量評価における初期検討

    王 成龍, 小田 昌宏, 林 雄一郎, 佐々 直人, 山本 徳則, 森 健策

    第38回日本医用画像工学会大会予稿集     page: OP5-23   2019.7

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  351. AMED 大規模データベースを用いた CT 画像解析と病変検出への応用

    森 健策, 小田 昌宏

    第38回日本医用画像工学会大会予稿集     page: SY1-5   2019.7

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  352. Artificial intelligence and upper gastrointestinal endoscopy: current status and future perspective Reviewed

    Yuichi Mori, Shinei Kudo, Hussein Ebaid, Naeem Mohmed, Masashi Misawa, Noriyuki Ogata, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Digestive endoscopy   Vol. 34 ( 4 ) page: 378-388   2019.7

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  353. Artificial intelligence and colonoscopy: Current status and future perspectives. Reviewed International journal

    Kudo SE, Mori Y, Misawa M, Takeda K, Kudo T, Itoh H, Oda M, Mori K

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society   Vol. 31 ( 4 ) page: 363 - 371   2019.7

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    BACKGROUND AND AIM: Application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer-aided diagnosis (CAD) for colonoscopy is the most investigated area, although it is still in the preclinical phase. Because colonoscopy is carried out by humans, it is inherently an imperfect procedure. CAD assistance is expected to improve its quality regarding automated polyp detection and characterization (i.e. predicting the polyp's pathology). It could help prevent endoscopists from missing polyps as well as provide a precise optical diagnosis for those detected. Ultimately, these functions that CAD provides could produce a higher adenoma detection rate and reduce the cost of polypectomy for hyperplastic polyps. METHODS AND RESULTS: Currently, research on automated polyp detection has been limited to experimental assessments using an algorithm based on ex vivo videos or static images. Performance for clinical use was reported to have >90% sensitivity with acceptable specificity. In contrast, research on automated polyp characterization seems to surpass that for polyp detection. Prospective studies of in vivo use of artificial intelligence technologies have been reported by several groups, some of which showed a >90% negative predictive value for differentiating diminutive (≤5 mm) rectosigmoid adenomas, which exceeded the threshold for optical biopsy. CONCLUSION: We introduce the potential of using CAD for colonoscopy and describe the most recent conditions for regulatory approval for artificial intelligence-assisted medical devices.

    DOI: 10.1111/den.13340

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  354. 医用画像AI

    森 健策

    医療機器学 第94回日本医療機器学会大会・学術集会   Vol. 89 ( 2 ) page: 107-108   2019.6

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  355. Automatic egistration of unordered point clouds for the study of abdominal organs and lymph node eformations

    B. Villard, K. Tachi, K. Misawa, M. Oda, K. Mori

    Computer Assisted Radiology 33rd International Congress and Exhibition CARS 2019     page: 0   2019.6

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  356. Semi-automated small intestine segmentation by fully convolutional networks and Hessian analysis

    K. Mori, H. Oda, T. Sugino, K. Nishio, K. Chiba, K. Oshima, T. Kitasaka, M. Oda, C. Shirota, A. Hinoki, H. Uchida

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s119-120   2019.6

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  357. 3D fully convolutional network-based head structure segmentation on multi-modal images from sparse annotation

    K. Mori, T. Sugino, H. Roth, M. Oda, T. Kin

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s120-121   2019.6

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  358. Non-contrast to contrasted abdominal CT volume regression using fully convolutional network

    M. Oda, K. K. Kumamaru, S. Aoki, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: 103-104   2019.6

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  359. Computer-based virtual clinical trial for pulmonary function diagnosis with ynamic chest radiograph

    R. Tanaka, E. Samei, W. P. Segars, E. Abadi, H. Roth, H. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s20-21   2019.6

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  360. Optical coherence tomography classification of multiple retinal diseases using DenseNet

    C. Wang, M. Oda, Y. Itoh, K.Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s69-70   2019.6

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  361. Artificial neural network for the prediction of colorectal lymph node metastasis

    B. Villard, H. Itoh, K. Ichimasa, Y. Mori, M. Misawa, M. Oda, S. Kudo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019     page: 0   2019.6

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  362. Evaluation of squeeze and excitation fully convolutional networks for multi-organ segmentation

    C. Shen, F. Milletari, H. Roth, M. Oda, B. Villard, Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s29-30   2019.6

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  363. Automatic segmentation of attention-aware artery region in laparoscopic colorectal surger

    S.Morimitsu, H. Itoh, T. Ozawa, H. Oda, T. Kitasaka, T. Sugino, Y. Hayashi, N. Takeshita, M. Ito, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s41-42   2019.6

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  364. Polyp-size determination method using short colonoscopic video clip information

    H. Itoh, Y. Mori, M. Misawa, M. Oda, S. E. Kudo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s88-89   2019.6

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  365. Evaluation on econstruction accuracy of visual SLAM based bronchoscope tracking

    C. Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itoh, H. Honma, H. Takabatake, M. Mori, H. Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: S24-25   2019.6

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  366. 3D fully convolutional network-based head structure segmentation on multi-modal images from sparse annotation

    K. Mori, T. Sugino, H. Roth, M. Oda, T. Kin

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s120-121   2019.6

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  367. Automatic egistration of unordered point clouds for the study of abdominal organs and lymph node eformations

    B. Villard, K. Tachi, K. Misawa, M. Oda, K. Mori

    Computer Assisted Radiology 33rd International Congress and Exhibition CARS 2019     page: 0   2019.6

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  368. Computer-based virtual clinical trial for pulmonary function diagnosis with ynamic chest radiograph

    R. Tanaka, E. Samei, W. P. Segars, E. Abadi, H. Roth, H. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s20-21   2019.6

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  369. Automatic segmentation of attention-aware artery region in laparoscopic colorectal surger

    S.Morimitsu, H. Itoh, T. Ozawa, H. Oda, T. Kitasaka, T. Sugino, Y. Hayashi, N. Takeshita, M. Ito, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s41-42   2019.6

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  370. Artificial neural network for the prediction of colorectal lymph node metastasis

    B. Villard, H. Itoh, K. Ichimasa, Y. Mori, M. Misawa, M. Oda, S. Kudo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019     page: 0   2019.6

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  371. Optical coherence tomography classification of multiple retinal diseases using DenseNet

    C. Wang, M. Oda, Y. Itoh, K.Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s69-70   2019.6

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  372. Non-contrast to contrasted abdominal CT volume regression using fully convolutional network

    M. Oda, K. K. Kumamaru, S. Aoki, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: 103-104   2019.6

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  373. Evaluation on econstruction accuracy of visual SLAM based bronchoscope tracking

    C. Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itoh, H. Honma, H. Takabatake, M. Mori, H. Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: S24-25   2019.6

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  374. Evaluation of squeeze and excitation fully convolutional networks for multi-organ segmentation

    C. Shen, F. Milletari, H. Roth, M. Oda, B. Villard, Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s29-30   2019.6

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  375. Polyp-size determination method using short colonoscopic video clip information

    H. Itoh, Y. Mori, M. Misawa, M. Oda, S. E. Kudo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s88-89   2019.6

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  376. Semi-automated small intestine segmentation by fully convolutional networks and Hessian analysis

    K. Mori, H. Oda, T. Sugino, K. Nishio, K. Chiba, K. Oshima, T. Kitasaka, M. Oda, C. Shirota, A. Hinoki, H. Uchida

    International Journal of Computer Assisted Radiology and Surgery CARS 2019   Vol. 14 ( 1 ) page: s119-120   2019.6

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  377. 深層学習を用いた脳CT像からの出血検出におけるデータ拡張とネットワーク構造の影響に関する考察

    魯 仲陽, 小田 昌宏, 鄭 通, 申 忱, 胡 涛, 渡谷 岳行, 阿部 修, 橋本 正弘, 陣崎 雅弘, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 119 ( 51 ) page: 65-70   2019.5

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  378. ビッグデータとAIの医療応用

    森 健策

    最新醫學   Vol. 74 ( 3 ) page: 20-28   2019.3

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  379. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively Reviewed

    Tao Chen, Zhenyuan Ning, Lili Xu, Xingyu Feng, Shuai Han, Holger R. Roth, Wei Xiong, Xixi Zhao, Yanfeng Hu, Hao Liu, Jiang Yu, Yu Zhang, Yong Li, Yikai Xu, Kensaku Mori, Guoxin Li

    European radiology   Vol. 29 ( 3 ) page: 1074-1082   2019.3

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  380. Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video) Reviewed

    Yasuharu Maeda, Shin-eiKudo, Yuichi Mori, Masashi Misawa, Noriyuki Ogata, Seiko Sasanuma, Kunihiko Wakamura, Masahiro Oda, Kensaku Mori, Kazuo Ohtsuka

    Gastrointestinal endoscopy   Vol. 89 ( 2 ) page: 408-415   2019.2

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  381. Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT

    Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori

    Proceedings of SPIE 10953, Medical Imaging 2019     page: 109531I-1-12   2019.2

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  382. Lung segmentation based on a deep learning approach for dynamic chest radiography

    Yuki Kitahara, Rie Tanaka, Holger Roth, Hirohisa Oda, Kensaku Mori, Kazuo Kasahara, Isao Matsumoto

    Proceedings of SPIE 10950, Medical Imaging 2019     page: 109503M-1-6   2019.2

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  383. Multiclass vertebral fracture classification using probability SVM with multi-feature selection

    Liyuan Zhang, Huamin Yang, Jiashi Zhao, Weili Shi, Yu Miao, Fei He, Wei He, Yanfang Li, Ke Zhang, Kensaku Mori, Zhengang Jiang

    Proceedings of SPIE 10950, Medical Imaging 2019     page: 1095025-1-11   2019.2

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  384. Spinal curvature segmentation and location by transfer learning

    Jiashi Zhao, Zhengang Jiang, Kensaku Mori, Liyuan Zhang, Wei He, Weili Shi, Yu Miao, Fei Yan, Fei He

    Proceedings of SPIE 10950, Medical Imaging 2019     page: 1095023-1-6   2019.2

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  385. Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning

    Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Masahiro Oda, Kensaku Mori

    Proceedings of SPIE 10953, Medical Imaging 2019     page: 109530L-1-8   2019.2

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  386. Weakly-supervised deep learning of interstitial lung disease types on CT images

    Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kennsaku Mori

    Proceedings of SPIE 10950, Medical Imaging 2019     page: 109501H-1-7   2019.2

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  387. Multi-class abdominal organs segmentation with improved V-Nets

    Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    Proceedings of SPIE 10949, Medical Imaging 2019     page: 109490B-1-7   2019.2

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  388. Dynamic chest radiography for pulmonary function diagnosis: A validation study using 4D extended cardiac-torso (XCAT) phantom

    Rie Tanaka, Ehsan Samei, William Paul Segars, Ehsan Abadi, Holger Roth, Hirohisa Oda, Kensaku Mori

    Proceedings of SPIE 10948, Medical Imaging 2019     page: 109483I-1-7   2019.2

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  389. Polyp-size classification with RGB-D features for colonoscopy

    Hayato Itoh, Holger Roth, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-Ei Kudo, Kensaku Mori

    Proceedings of SPIE 10950, Medical Imaging 2019     page: 1095015-1-7   2019.2

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  390. Colonoscope tracking method based on shape estimation network

    Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Yoshiki Hirooka, Nassir Navab, Kensaku Mori

    Proceedings of SPIE 10951, Medical Imaging 2019     page: 109510Q-1-6   2019.2

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  391. Visual SLAM for bronchoscope tracking and bronchus reconstruction in bronchoscopic navigation

    Wang Cheng, Kensaku Mori, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Proceedings of SPIE 10951, Medical Imaging 2019     page: 109510A-1-7   2019.2

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  392. 3Dプリンティングの最新動向

    森 健策

    インナービジョン 2019年2月号   Vol. 34 ( 2 ) page: 40-41   2019.2

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  393. 3Dプリンティングの最新動向

    森 健策

    インナービジョン 2019年2月号   Vol. 34 ( 2 ) page: 40-41   2019.2

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  394. Colonoscope tracking method based on shape estimation network

    Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Yoshiki Hirooka, Nassir Navab, Kensaku Mori

    Proceedings of SPIE 10951, Medical Imaging 2019     page: 109510Q-1-6   2019.2

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  395. Automated hand eye calibration in laparoscope holding robot for robot assisted surgery

    Shuai Jiang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    IFMIA 2019     page: 0   2019.1

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  396. Investigation of extracting the interlobular septa with combination of Hessian analysis and radial structure tensor in micro-CT volume

    Xiaotian Zhao, Hirohisa Oda, Shota Nakamura, Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Kensaku Mori

    IFMIA 2019     page: 0   2019.1

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  397. Wavelength Dependence of Ultrahigh-Resolution Optical Coherence Tomography Using Supercontinuum for Biomedical Imaging Reviewed

    Norihiko Nishizawa, Hiroyuki Kawagoe, Masahito Yamanaka, Miyoko atsushima, Kensaku Mori, Tsutomu Kawabe

    IEEE Journal of Selected Topics in Quantum Electronics   Vol. 25 ( 1 ) page: 7101115   2019.1

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    DOI: 10.1109/JSTQE.2018.2854595

  398. 敵対的Dense U-netを用いた切除肺マイクロCT像の超解像

    鄭 通, 小田 紘久, Holger R. Roth, 小田 昌宏, 中村 彰太, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 7-12   2019.1

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  399. AI支援手術に向けた鏡視下手術画像の自動認識システムの開発

    北口 大地, 松崎 博貴, 渡部 嘉気, 青柳 吉博, 佐藤 大介, 巣籠 悠輔, 原 聖吾, 森 健策, 伊藤 雅昭

    第1回日本メディカルAI学会学術集会, 日本メディカルAI学会誌   Vol. 1   page: 81   2019.1

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  400. 切除肺のマイクロCT像における3D-DBPNを用いた超解像の検討

    鄭 通, 小田 紘久, 小田 昌宏, 守谷 享泰, 中村 彰太, 森 健策

    第11回呼吸機能イメージング研究会学術集会, プログラム抄録集     page: 82   2019.1

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  401. MICCAI2018参加報告

    小田 昌宏, 大竹 義人, 伊東 隼人, 杉野 貴明, 斉藤 篤, 古川 亮, 大西 峻, 井宮 淳, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 221-228   2019.1

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  402. 機械学習を用いた腹部動脈血管名自動命名におけるデータ拡張法の適用に関する検討

    鉄村 悠介, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 191-196   2019.1

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  403. CTからの腹部多臓器抽出におけるgroup normalizationの影響に関する考察

    申 忱, Fausto Milletari, Holger R. Roth, 小田 紘久, 小田 昌宏, 林 雄一郎, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 143-148   2019.1

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  404. 不均衡データからの特徴選択 超拡大内視鏡画像の病理類型分類に向けて

    伊東 隼人, 森 悠一, 三澤 将史, 小田 昌宏, 工藤 進英, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 109-114   2019.1

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  405. 経時CT像間の腹部臓器の変形を考慮したリンパ節自動対応付け手法の検討

    舘 高基, 小田 昌宏, 林 雄一郎, 伊東 隼人, 中村 嘉彦, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 97-102   2019.1

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  406. マルチモーダル画像を用いた深層学習ベースの頭部解剖構造抽出 少量画像データ学習における抽出精度検証

    杉野 貴明, Holger R. Roth, 小田 昌宏, 金 太一, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 65-70   2019.1

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  407. AI支援手術に向けた鏡視下手術画像の自動認識システムの開発

    北口 大地, 松崎 博貴, 渡部 嘉気, 青柳 吉博, 佐藤 大介, 巣籠 悠輔, 原 聖吾, 森 健策, 伊藤 雅昭

    第1回日本メディカルAI学会学術集会, 日本メディカルAI学会誌   Vol. 1   page: 81   2019.1

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  408. CTからの腹部多臓器抽出におけるgroup normalizationの影響に関する考察

    申 忱, Fausto Milletari, Holger R. Roth, 小田 紘久, 小田 昌宏, 林 雄一郎, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 412 ) page: 143-148   2019.1

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  409. Automated hand eye calibration in laparoscope holding robot for robot assisted surgery

    Shuai Jiang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    IFMIA 2019     page: 0   2019.1

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  410. Regulatory Aspects on AI-based Medical Devices and Systems Reviewed

    CHINZEI Kiyoyuki, SHIMIZU Akinobu, MORI Kensaku, HARADA Kanako, TAKEDA Hideaki, HASHIZUME Makoto, ISHIZUKA Mayumi, KATO Nobumasa, KAWAMORI Ryuzo, KYO Shunei, NAGATA Kyosuke, YAMANE Takashi, SAKUMA Ichiro, OHE Kazuhiko, MITSUISHI Mamoru

    Regulatory Science of Medical Products   Vol. 9 ( 1 ) page: 31 - 36   2019

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    <p>Recent advances in artificial intelligence (AI) are propelling the development of AI-based medical and healthcare devices and systems. AI-based medical systems have new characteristics to be considered by developers and reviewers, namely, plasticity causing changes in system performance through learning, unpredictability of system behavior due to the black box nature of the AI process, and impact of advanced autonomy of AI-based medical systems on the relationship between patients and doctors. New research-and-development and medical-device-reviewing platforms need to be urgently discussed to prepare for up-coming new AI-based medical systems by considering aforementioned characteristics.</p>

    DOI: 10.14982/rsmp.9.31

    CiNii Research

  411. 大腸内視鏡診断への人工知能応用:Endocytoを用いた診断支援システムの研究開発経験から

    森 悠一, 工藤 進英, 森 健策

    日本消化器病学会雑誌   Vol. 115 ( 12 ) page: 1030-1036   2018.12

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  412. 大腸内視鏡治療誘導のためのRecurrent Neural Networkを用いた大腸内視鏡トラッキング手法の開発 Reviewed

    小田 昌宏, Holger R. Roth, 北坂 孝幸, 古川 和宏, 宮原 良二, 廣岡 芳樹, Nassir Navab, 森 健策

    日本バーチャルリアリティ学会論文誌   Vol. 23 ( 4 ) page: 249-252   2018.12

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    DOI: 10.18974/tvrsj.23.4_249

  413. Micro CT and Histopathological Image Registration Based on Deep-Learning Assisted Image Registration

    Kensaku Mori, Kai Nagara, Shota Nakamura, Hirohisa Oda, MENG, Holger R. Roth,, Masahiro Oda

    RSNA2018     page: CH218-ED-X   2018.11

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  414. Computer Assistance in Comparison of Kidney Function Variation Between Pre- and Post-nephrectomy

    Chenglong Wang, Masahiro Oda, Jun Nagayama, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    RSNA2018     page: UR007-EB-WEA   2018.11

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  415. 3D High-Resolution Microstructure Imaging of the Heart

    Hirohisa Oda, MENG, Holger R. Roth,, Naoki Sunaguch, Tetsuya Yuasa, Toshiaki Akita, Kensaku Mori, Daisuke Shimao, Shu Ichihara, Masami Ando, Noriko Usami, Masahiro Oda, Yuji Narita

    RSNA2018     page: CA001-EC-X   2018.11

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  416. 病院内位置測位手法の検討

    山下 佳子, 大山 慎太郎, 大谷 智洋, 白鳥 義宗, 森 健策

    電子情報通信学会技術研究報告(MI), MICT2018-47   Vol. 118 ( 285 ) page: 41-44   2018.11

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  417. U‒Net を用いた腹腔鏡動画像における出血領域検出に関する検討

    小澤 卓也, 小田 紘久, 伊東 隼人, 北坂 孝幸, Holger R. Roth, 小田 昌宏, 林 雄一郎, 三澤 一成, 伊藤 雅昭, 竹下 修由 , 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(6)-10 ) page: 370   2018.11

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  418. ディープラーニングを用いた腹腔鏡映像からの腹腔鏡下胃切除術の手術工程解析の検討

    林 雄一郎, 杉野 貴明, 小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(ⅩⅠ)-10 ) page: 368-369   2018.11

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  419. 腹腔鏡把持ロボットのための自動ハンドアイキャリブレーションの検討

    蒋 帥, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅹ)-10 ) page: 359   2018.11

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  420. イレウス診断支援システムにおける閉塞部位の誤検出修正及び改善ツールの構築

    西尾 光平, 小田 紘久, 千馬 耕亮, 北坂 孝幸, Holger R. Roth, 伊東 隼人, 林 雄一郎, 小田 昌宏, 檜 顕成, 内田 広夫, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅹ)-3 ) page: 348-349   2018.11

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  421. SLAM ベースのビジュアルトラッキングにおける隣接フレーム利用再構成手法の評価

    王 成, 小田 昌宏, 林 雄一郎, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅸ)-4 ) page: 342-343   2018.11

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  422. ステレオ手術顕微鏡画像からの脳表の 3 次元形状復元と術前 MRI 画像との融合による脳神経外科手術支援の検討

    林 雄一郎, 藤井 正純, 柴田 睦実, Dilip Bhandari, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅷ)-4 ) page: 334-335   2018.11

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  423. CT 像より自動抽出された動脈領域に対応した機械学習に基づく腹部動脈血管名自動命名法

    鉄村 悠介, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅶ)-4 ) page: 322-323   2018.11

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  424. 生成モデルを利用したマイクロ CT 画像の半教師ありセグメンテーション

    守谷 享泰, Holger R. Roth, 中村 彰太, 小田 紘久, 小田 昌宏, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅵ)-9 ) page: 312-313   2018.11

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  425. 不均衡データセットからの学習データセット構築法 ―機械学習に基づく医用画像分類に向けて―

    伊東 隼人, 森 悠一, 三澤 将史, 小田 昌宏, 工藤 進英, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅲ)-5 ) page: 261-262   2018.11

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  426. 深層学習を用いた屈折 X 線 CT 画像からの眼球構造抽出 ―Sparse annnotation データの学習法に関する検討―

    杉野 貴明, Holger R. Roth, 小田 昌宏, 砂口 尚輝, 島雄 大介, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅲ)-4 ) page: 259-260   2018.11

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  427. 深層学習を用いたマイクロ CT 画像の超解像に関する初期的検討

    鄭 通, Holger R. Roth, 小田 昌宏, 小田 紘久, 中村 彰太, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅱ)-8 ) page: 252-253   2018.11

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  428. 医用画像処理のための深層学習サンプルコード集 DMED

    小田 昌宏, 原 武史, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅱ)-5 ) page: 248-249   2018.11

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  429. 超拡大内視鏡におけるAI

    森 健策, 伊東 隼人, 三澤 将史, 森 悠一, 工藤 進英

    日本光学会年次学術講演会講演予稿集     page: 226-227   2018.11

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  430. Investigation on the condition of using adjacent reconstruction in visual bronchoscope tracking

      Vol. 118 ( 286 ) page: 27-32   2018.11

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  431. 3D High-Resolution Microstructure Imaging of the Heart

    Hirohisa Oda, MENG, Holger R. Roth, Naoki Sunaguch, Tetsuya Yuasa, Toshiaki Akita, Kensaku Mori, Daisuke Shimao, Shu Ichihara, Masami Ando, Noriko Usami, Masahiro Oda, Yuji Narita

    RSNA2018     page: CA001-EC-X   2018.11

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  432. Computer Assistance in Comparison of Kidney Function Variation Between Pre- and Post-nephrectomy

    Chenglong Wang, Masahiro Oda, Jun Nagayama, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    RSNA2018     page: UR007-EB-WEA   2018.11

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  433. CT 像より自動抽出された動脈領域に対応した機械学習に基づく腹部動脈血管名自動命名法

    鉄村 悠介, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第27回日本コンピュータ外科学会大会特集号   Vol. 20 ( 4 18(Ⅶ)-4 ) page: 322-323   2018.11

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  434. DRINet for Medical Image Segmentation Reviewed

    Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

    IEEE Transaction on Medical Imaging   Vol. 37 ( 11 ) page: 2453-2462   2018.10

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  435. Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study Reviewed

    Yuichi Mori, Shin-ei Kudo, Masashi Misawa, Yutaka Saito, Hiroaki Ikematsu, Kinichi Hotta, Kazuo Ohtsuka, Fumihiko Urushibara, Shinichi Kataoka, Yushi Ogawa, Yasuharu Maeda, Kenichi Takeda, Hiroki Nakamura, Katsuro Ichimasa, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Fumio Ishida, Haruhiro Inoue, Hayato Itoh, Masahiro Oda, Kensaku Mori

    Annals of Internal Medicine     2018.9

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    DOI: 10.7326/M18-0249

  436. Application of three-dimensional print in minor hepatectomy following liver partition between anterior and posterior sectors Reviewed

    Tsuyoshi Igami, Yoshihiko Nakamura, Masahiro Oda, Hiroshi Tanaka, Motoi Nojiri, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

    ANZ Journal of Surgery   Vol. 88 ( 9 ) page: 882-885   2018.9

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  437. Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model

    Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori

    International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2018, LNCS 11042     page: 118-126   2018.9

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  438. Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video) Reviewed

    Yasuharu Maeda, Shin-eiKudo, Yuichi Mori, Masashi Misawa, Noriyuki Ogata, Seiko Sasanuma, Kunihiko Wakamura, Masahiro Oda, Kensaku Mori, Kazuo Ohtsuka

    Gastrointestinal endoscopy     2018.9

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    DOI: 10.1016/j.gie.2018.09.024

  439. A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multiorgan Segmentation

    Holger Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    MICCAI 2018, LNCS 11073     page: 417-425   2018.9

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  440. BESNet: Boundary-enhanced Segmentation of Cells in Histopathological Images

    Hirohisa Oda, Holger Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A Schnabel, Kensaku Mori

    MICCAI 2018, LNCS 11071     page: 228-236   2018.9

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  441. Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning

    Hayato Itoh, Holger Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori

    MICCAI 2018, LNCS 11071     page: 176-184   2018.9

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  442. Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks

    Masahiro Oda, Holger Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

    MICCAI 2018, LNCS 11073     page: 176-184   2018.9

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  443. BESNet: Boundary-enhanced Segmentation of Cells in Histopathological Images

    Hirohisa Oda, Holger Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A Schnabel, Kensaku Mori

    MICCAI 2018, LNCS 11071     page: 228-236   2018.9

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  444. A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multiorgan Segmentation

    Holger Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    MICCAI 2018, LNCS 11073     page: 417-425   2018.9

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  445. Application of three-dimensional print in minor hepatectomy following liver partition between anterior and posterior sectors Reviewed

    Tsuyoshi Igami, Yoshihiko Nakamura, Masahiro Oda, Hiroshi Tanaka, Motoi Nojiri, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

    ANZ Journal of Surgery   Vol. 88 ( 9 ) page: 882-885   2018.9

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  446. Anatomical location classification of gastroscopic images using DenseNet trained from Cyclical Learning Rate

    Qier Meng, Kiyohito Tanaka, Shin'ichi Satoh, Masaru Kitsuregawa, Yusuke Kurose, Tatsuya Harada, Hideaki Hayashi, Ryoma Bise, Seiichi Uchida, Masahiro Oda, Kensaku Mori

        page: PS1-51   2018.8

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  447. Sparse annotationによる深層学習ベースの解剖構造抽出:屈折X線CT像からの精密な眼球セグメンテーション

    杉野貴明,Holger R. Roth,小田昌宏,砂口尚輝,島雄大介,市原周,湯浅哲也,安藤正海,森健策

    MIRU2018     page: PS3-11   2018.8

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  448. 超拡大内視鏡における病理画像分類のための特徴選択法

    伊東 隼人, 森 悠一, 三澤 将史, 小田 昌宏, 工藤 進英, 森 健策

    MIRU2018     page: PS2-17   2018.8

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  449. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively Reviewed

    Tao Chen, Zhenyuan Ning, Lili Xu, Xingyu Feng, Shuai Han, Holger R. Roth, Wei Xiong, Xixi Zhao, Yanfeng Hu, Hao Liu, Jiang Yu, Yu Zhang, Yong Li, Yikai Xu, Kensaku Mori, Guoxin Li

    European radiology     page: 1-9   2018.8

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    DOI: 10.1007/s00330-018-5629-2

  450. Anatomical location classification of gastroscopic images using DenseNet trained from Cyclical Learning Rate

    Qier Meng, Kiyohito Tanaka, Shin'ichi Satoh, Masaru Kitsuregawa, Yusuke Kurose, Tatsuya Harada, Hideaki Hayashi, Ryoma Bise, Seiichi Uchida, Masahiro Oda, Kensaku Mori

        page: PS1-51   2018.8

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  451. Attention U-Net: Learning Where to Look for the Pancreas

    Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh?, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert

    Medical Imaging with Deep Learning MIDL2018     page: 00   2018.7

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  452. マイクロCT画像からのRSTを用いた小葉壁抽出手法の検討

    趙 笑添, Holger R. Roth, 中村彰太, 小田紘久, 林 雄一郎, 守谷享泰, 長柄 快, 小田昌宏, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 118 ( 150 ) page: 11-16   2018.7

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  453. 教師なし深度推定を利用したRGB-D 特徴抽出に基づくポリープのトリナリサイズ推定

    伊東隼人, Holger Roth, 三澤将史, 森悠一, 小田昌宏, 工藤進英, 森健策

    第37回日本医用画像工学会大会予稿集     page: OP14-4   2018.7

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  454. 機械学習を用いた腹部動脈血管名自動命名における臓器情報および多血管相互関係利用方法の検討

    鉄村 悠介, Holger Roth, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP14-2   2018.7

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  455. 隣接復元を用いたSLAMベースの気管支鏡追跡の改善

    王 成, 小田 昌宏, 林 雄一郎, 本間 裕敏, 高畑 博嗣, 森 雅樹, 名取 博, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP13-6   2018.7

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  456. 腹腔鏡下手術のためのVR 手術再観察システムの開発

    鈴木 拓矢,道満 恵介,目加田 慶人,三澤 一成,森 健策

    第37回日本医用画像工学会大会予稿集     page: OP8-4   2018.7

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  457. 脳神経外科手術支援のための手術顕微鏡画像からの脳表の3次元形状復元に関する検討

    林 雄一郎, 柴田 睦実, 藤井 正純, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP8-1   2018.7

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  458. Fully convolutional networkを用いた小構造物セグメンテーション方法の検討及び腹部動脈への適用

    小田 昌宏, Holger R. Roth, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP7-5   2018.7

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  459. 胃の変形情報を利用した経時リンパ節の自動対応付け手法の精度向上に関する研究

    舘 高基, 小田 昌宏, 林 雄一郎, 中村 嘉彦, 北坂 孝幸, 三澤 一成, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP4-2   2018.7

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  460. ウサギ心臓の屈折CT像における線維配向の可視化ならびに評価

    小田 紘久, Holger R. Roth, 砂口 尚輝, 宇佐美 紀子, 小田 昌宏 , 島雄 大介, 市原 周, 湯浅 哲也, 安藤 正海, 秋田 利明, 成田 裕司, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP1-8   2018.7

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  461. 機械学習による内視鏡動画インスタンスセグメンテーションのための手動アノテーションツールの開発

    小澤 卓也, 小田 紘久, 伊東 隼人, 北坂 孝幸, Holger R. Roth, 小田 昌宏, 林 雄一郎, 三澤 一成, 伊藤 雅昭, 竹下 修由, 森 健

    第37回日本医用画像工学会大会予稿集     page: OP1-7   2018.7

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  462. Fast Marching Algorithmに基づく小児CT像からの腸管閉塞部位検出手法

    西尾 光平, 小田 紘久, 千馬 耕亮, 北坂 孝幸, Holger Roth, 伊東 隼人, 小田 昌宏, 檜 顕成, 内田 広夫, 森 健策

    第37回日本医用画像工学会大会予稿集     page: OP1-6   2018.7

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  463. Fully convolutional networkを用いた少量画像データ学習からの頭部解剖構造抽出

    杉野 貴明,Holger R. Roth,小田 昌宏,庄野 直之,金 太一,森 健策

    第37回日本医用画像工学会大会予稿集     page: OP1-1   2018.7

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  464. Deformation matching of laparoscopic gastrectomy Navigation based on finite element analysis

    T. Chen, G. Wei, W. Shi, Y.Hu, J. Yu, Z.Jiang,K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s67-68   2018.6

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  465. Unsupervised deep learning based registration for aligning micro CT and histology images

    K. Nagara, S. Nakamura, H. Roth, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s155-157   2018.6

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  466. Micro-focus X-ray CT of the heart:A comparison with X-ray refraction-contrast CT,

    Hirohisa Oda, Holger R. Roth, Naoki Sunaguchi, Daisuke Shimao, Takaaki Sugino, Masahiro Oda, Toshiaki Akita, Yuji Narita, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s140-142   2018.6

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  467. Polyp detection in colonoscopic videos by using spatio-temporal feature

    Hayato Itoh, Holger R. Roth, Masashi Misawa, Yuichi Mori, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s97-98   2018.6

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  468. Deformation matching of laparoscopic gastrectomy Navigation based on finite element analysis

    T. Chen, G. Wei, W. Shi, Y.Hu, J. Yu, Z.Jiang, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s67-68   2018.6

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  469. Unsupervised deep learning based registration for aligning micro CT and histology images

    K. Nagara, S. Nakamura, H. Roth, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s155-157   2018.6

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  470. Micro-focus X-ray CT of the heart:A comparison with X-ray refraction-contrast CT,

    Hirohisa Oda, Holger R. Roth, Naoki Sunaguchi, Daisuke Shimao, Takaaki Sugino, Masahiro Oda, Toshiaki Akita, Yuji Narita, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s140-142   2018.6

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  471. Polyp detection in colonoscopic videos by using spatio-temporal feature

    Hayato Itoh, Holger R. Roth, Masashi Misawa, Yuichi Mori, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s97-98   2018.6

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  472. Improvement of robustness of SLAM-based bronchoscope tracking by posture guided feature matching

    Cheng Wang,Masahiro Oda,Yuichiro Hayashi,Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s11-12   2018.6

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  473. Eye structure segmentation on micro-CT images using 3D fully convolutional network with sparsely-annotated training data

    T. Sugino, H. Roth, M. Oda, S. Omata, S. Sakuma, F. Arai, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s182-184   2018.6

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  474. Automated ganglion cell detection using fully convolutional networks and evaluation under different training losses

    Hirohisa Oda, Kosuke Chiba, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s104-106   2018.6

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  475. Semi-supervised spherical K-means for segmenting idiopathic interstitial pneumonia from chest CT images

    C. Wang, T. Moriya, Y. Hayashi, M. Oda, H. Ohkubo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s27-28   2018.6

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  476. Evaluation of 3D fully convolutional networks for multi-class organ segmentation in contrast-enhanced CT

    Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Tadaaki Miyamoto, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s21-22   2018.6

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  477. Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation

    Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori,

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s20-21   2018.6

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  478. Auto-context 3D fully convolutional networks for multi-scale semantic segmentation of abdominal CT volumes

    K. Mori, H. Roth, C. Shen, H. Oda, T. Sugino, M. Oda, Y. Hayashi, K. Misawa

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s18-19   2018.6

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  479. Unsupervised 3D micro-CT image segmentation based on a hybrid of VAE and GAN

    T. Moriya, H. Roth, S. Nakamura, H. Oda, K. Nagara, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s15-17   2018.6

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  480. Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation

    Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s20-21   2018.6

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  481. Automated ganglion cell detection using fully convolutional networks and evaluation under different training losses

    Hirohisa Oda, Kosuke Chiba, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s104-106   2018.6

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  482. Auto-context 3D fully convolutional networks for multi-scale semantic segmentation of abdominal CT volumes

    K. Mori, H. Roth, C. Shen, H. Oda, T. Sugino, M. Oda, Y. Hayashi, K. Misawa

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s18-19   2018.6

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  483. Evaluation of 3D fully convolutional networks for multi-class organ segmentation in contrast-enhanced CT

    Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Tadaaki Miyamoto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s21-22   2018.6

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  484. Improvement of robustness of SLAM-based bronchoscope tracking by posture guided feature matching

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s11-12   2018.6

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  485. Eye structure segmentation on micro-CT images using 3D fully convolutional network with sparsely-annotated training data

    T. Sugino, H. Roth, M. Oda, S. Omata, S. Sakuma, F. Arai, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s182-184   2018.6

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  486. Semi-supervised spherical K-means for segmenting idiopathic interstitial pneumonia from chest CT images

    C. Wang, T. Moriya, Y. Hayashi, M. Oda, H. Ohkubo, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s27-28   2018.6

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  487. Unsupervised 3D micro-CT image segmentation based on a hybrid of VAE and GAN

    T. Moriya, H. Roth, S. Nakamura, H. Oda, K. Nagara, M. Oda, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s15-17   2018.6

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  488. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience Reviewed

    Masashi Misawa, Shin-eiKudo, Yuichi Mori, Tomonari Cho, Shinichi Kataoka, Akihiro Yamauchi, Yushi Ogawa, Yasuharu Maeda, Kenichi Takeda, Katsuro Ichimasa, Hiroki Nakamura, Yusuke Yagawa, Naoya Toyoshima, Noriyuki Ogata, Toyoki Kudo, Tomokazu Hisayuki, Takemasa Hayashi, Kunihiko Wakamura, Toshiyuki Baba, Fumio Ishida, Hayato Ito, Roth Holger, Kensaku Mori

    Gastroenterology   Vol. 154 ( 8 ) page: 2027-2029   2018.6

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    DOI: 10.1053/j.gastro.2018.04.003

  489. An application of cascaded 3D fully convolutional networks for medical image segmentation Reviewed

    Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

    Computerized Medical Imaging and Graphics   Vol. 66   page: 90 - 99   2018.6

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    Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of volumetric images. In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical structures (ranging from the large organs to thin vessels) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training class-specific models. To this end, we propose a two-stage, coarse-to-fine approach that will first use a 3D FCN to roughly define a candidate region, which will then be used as input to a second 3D FCN. This reduces the number of voxels the second FCN has to classify to ∼10% and allows it to focus on more detailed segmentation of the organs and vessels. We utilize training and validation sets consisting of 331 clinical CT images and test our models on a completely unseen data collection acquired at a different hospital that includes 150 CT scans, targeting three anatomical organs (liver, spleen, and pancreas). In challenging organs such as the pancreas, our cascaded approach improves the mean Dice score from 68.5 to 82.2%, achieving the highest reported average score on this dataset. We compare with a 2D FCN method on a separate dataset of 240 CT scans with 18 classes and achieve a significantly higher performance in small organs and vessels. Furthermore, we explore fine-tuning our models to different datasets. Our experiments illustrate the promise and robustness of current 3D FCN based semantic segmentation of medical images, achieving state-of-the-art results.1

    DOI: 10.1016/j.compmedimag.2018.03.001

    Web of Science

    Scopus

    PubMed

  490. Port placement planning method for assistant surgeon in laparoscopic gastrectomy

    Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s231-232   2018.6

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  491. Port placement planning method for assistant surgeon in laparoscopic gastrectomy

    Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s231-232   2018.6

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  492. デスクトップ型マイクロCTによる微細解剖構造イメージング

    森 健策

    Medical Imaging Technology   Vol. 36 ( 3 ) page: 127-132   2018.5

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  493. 特集/マイクロ解剖学のための微細解剖構造イメージング

    森 健策

    Medical Imaging Technology   Vol. 36 ( 3 ) page: 105-106   2018.5

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  494. DRINet for Medical Image Segmentation Reviewed

    Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

    IEEE Transaction on Medical Imaging     2018.5

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    DOI: 10.1109/TMI.2018.2835303

  495. Regulatory Science on AI-based Medical Devices and Systems Reviewed

    Kiyoyuki Chinzei, Akinobu Shimizu, Kensaku Mori, Kanako Harada, Hideaki Takeda, Makoto Hashizume, Mayumi Ishizuka, Nobumasa Kato, Ryuzo Kawamori, Shunei Kyo, Kyosuke Nagata, Takashi Yamane, Ichiro Sakuma, Kazuhiko Ohe, Mamoru Mitsuishi

    Advanced Biomedical Engineering   Vol. 7   page: 118-123   2018.5

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    DOI: org/10.14326/abe.7.118

  496. Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video) Reviewed

    Yuichi Mori, Shin-ei Kudo, Kensaku Mori

    Digestive Endoscopy   Vol. 30 ( S1 ) page: 52-53   2018.4

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    DOI: org/10.1111/den.13005

  497. Cascaded 3D Fully Convolutional Networks for Medical Image Segmentation

    Holger Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Chen Shen, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori,

    GTC2018,     page: S8532   2018.3

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  498. Cascaded 3D Fully Convolutional Networks for Medical Image Segmentation

    Holger Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Chen Shen, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

    GTC2018,     page: S8532   2018.3

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  499. ディープラーニングを用いた教師なし学習によるレジストレーション手法の初期的検討

    長柄 快, Holger R. Roth, 中村彰太, 小田昌宏, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 7-12   2018.3

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  500. 3D U-Netと測地距離カーネルを取り入れた全連結条件付き確率場に基づく医用画像からの多臓器自動抽出

    楊 瀛, Roth Holger, 小田昌宏, 北坂孝幸, 三澤一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 75-80   2018.3

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  501. 超拡大内視鏡画像における腫瘍性ポリープ分類に向けたグラスマン距離に基づく特徴選択法

    伊東隼人, 森 悠一, 三澤将史, 小田昌宏, 工藤進英, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 51-56   2018.3

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  502. 開腹手術映像における遮蔽物除去手法の改善 FFDによる位置合わせ精度の評価

    北坂孝幸, 奥田透生, 佐藤 準, 豊田誠仁, 澤野弘明, 末永康仁, 三澤一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 31-32   2018.3

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  503. CNNによる回帰を用いた臓器領域の位置推定手法の初期的検討

    清水南月, 小田昌宏, ロス ホルガー, 林 雄一郎, 三澤一成, 藤原道隆, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 81-86   2018.3

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  504. Pre/intra-operative diagnosis and navigational assistance based on multidisciplinary computational anatomy

    Kensaku Mori, Masahiro Oda, Holger R roth, Yoshihiko Nakamura, Yoshito Mekada, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kazuhiro Durukawa, Shu Ichihara

        page: 87-105   2018.3

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  505. MICCAI2017参加報告

    大竹義人, 伊藤康一, 小田昌宏, 備瀬竜馬, 諸岡健一, 周 向栄, 斉藤 篤, 清水昭伸, 増谷佳孝, 佐藤嘉伸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 125-131   2018.3

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  506. 複数のステレオ内視鏡画像からの臓器形状復元の定量評価

    柴田睦実, 林 雄一郎, 小田昌宏, 三澤一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 117-122   2018.3

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  507. Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer. Reviewed International journal

    Katsuro Ichimasa, Shin-Ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyachi

    Endoscopy   Vol. 50 ( 3 ) page: 230 - 240   2018.3

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    BACKGROUND AND STUDY AIMS: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificial intelligence can predict LNM presence, thus minimizing the need for additional surgery. PATIENTS AND METHODS: Data on 690 consecutive patients with T1 CRCs that were surgically resected in 2001 - 2016 were retrospectively analyzed. We divided patients into two groups according to date: data from 590 patients were used for machine learning for the artificial intelligence model, and the remaining 100 patients were included for model validation. The artificial intelligence model analyzed 45 clinicopathological factors and then predicted positivity or negativity for LNM. Operative specimens were used as the gold standard for the presence of LNM. The artificial intelligence model was validated by calculating the sensitivity, specificity, and accuracy for predicting LNM, and comparing these data with those of the American, European, and Japanese guidelines. RESULTS: Sensitivity was 100 % (95 % confidence interval [CI] 72 % to 100 %) in all models. Specificity of the artificial intelligence model and the American, European, and Japanese guidelines was 66 % (95 %CI 56 % to 76 %), 44 % (95 %CI 34 % to 55 %), 0 % (95 %CI 0 % to 3 %), and 0 % (95 %CI 0 % to 3 %), respectively; and accuracy was 69 % (95 %CI 59 % to 78 %), 49 % (95 %CI 39 % to 59 %), 9 % (95 %CI 4 % to 16 %), and 9 % (95 %CI 4 % - 16 %), respectively. The rates of unnecessary additional surgery attributable to misdiagnosing LNM-negative patients as having LNM were: 77 % (95 %CI 62 % to 89 %) for the artificial intelligence model, and 85 % (95 %CI 73 % to 93 %; P < 0.001), 91 % (95 %CI 84 % to 96 %; P < 0.001), and 91 % (95 %CI 84 % to 96 %; P < 0.001) for the American, European, and Japanese guidelines, respectively. CONCLUSIONS: Compared with current guidelines, artificial intelligence significantly reduced unnecessary additional surgery after endoscopic resection of T1 CRC without missing LNM positivity.

    DOI: 10.1055/s-0043-122385

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  508. Correction: Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer Reviewed

    Katsuro Ichimasa, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyach

    Endoscopy   Vol. 50 ( 3 ) page: C2   2018.3

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    DOI: 10.1055/s-0044-100290

  509. Correction: Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer Reviewed

    Katsuro Ichimasa, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyach

    Endoscopy   Vol. 50 ( 3 ) page: C2   2018.3

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  510. Correction: Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer Reviewed

    Katsuro Ichimasa, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyach

    Endoscopy   Vol. 50 ( 3 ) page: C2   2018.3

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  511. 3D U-Netと測地距離カーネルを取り入れた全連結条件付き確率場に基づく医用画像からの多臓器自動抽出

    楊 瀛, Roth Holger, 小田昌宏, 北坂孝幸, 三澤一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 518 ) page: 75-80   2018.3

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  512. Machine learning-based colon deformation estimation method for colonscope tracking

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

    Proc. SPIE 10576, Medical Imaging 2018     page: 1057619-1-1057619-6   2018.2

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  513. Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

    Hirohisa Oda, Holger Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori,

    Proc. SPIE 10575, Medical Imaging 2018     page: 1057502-1-1057502-6   2018.2

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    DOI: 10.1117/12.2287066

  514. Unsupervised segmentation of 3D medical images based on clustering and deep representation learning

    Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori

    Proc. SPIE 10578, Medical Imaging 2018     page: 105780-1-105780-7   2018.2

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    DOI: 10.1117/12.2293414

  515. Unsupervised pathology image segmantaion using representation learning with spherical k-means

    Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori,

    Proc. SPIE 10581, Medical Imaging 2018     page: 1058111-1-1058111-7   2018.2

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    DOI: 10.1117/12.2292172

  516. Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional network

    Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

    Proc. SPIE 10574, Medical Imaging 2018     page: 105740B-1-105740B-6   2018.2

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    DOI: 10.1117/12.2293499

  517. Fine segmentation of tiny blood vessel based on fully-connected conditional random field

    Chenglong Wang, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    Proc. SPIE 10574, Medical Imaging 2018     page: 10740K-1-10740K-7   2018.2

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    DOI: 10.1117/12.2293486

  518. Develop and Validate a Finite Element Method Model for Deformation Matching of Laparoscopic Gastrectomy Navigation

    Tao Chena, Guodong Wei, Weili Shic, Yuichiro Hayashi, Masahiro Oda, Zhengang Jiang, Guoxin Li, Kensaku Mori

    Proc. SPIE 10576, Medical Imaging 2018     page: 105761Y-1-10576Y-6   2018.2

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  519. 医用工学と放射線技術科学との融合:期待される新技術

    戸田 尚宏, 小林 哲生, 山谷 泰賀, 有村 秀孝, 内山 良一, 森 健策, 藤田 広志, 原 武史

    日本放射線技術学会雑誌, 第73回総会学術大会シンポジウム2   Vol. 74 ( 2 ) page: 175-190   2018.2

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  520. 医用工学と放射線技術科学との融合:期待される新技術

    戸田 尚宏, 小林 哲生, 山谷 泰賀, 有村 秀孝, 内山 良一, 森 健策, 藤田 広志, 原 武史

    日本放射線技術学会雑誌, 第73回総会学術大会シンポジウム2   Vol. 74 ( 2 ) page: 175-190   2018.2

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  521. 術前術中後診断治療支援

    森 健策

    月刊「細胞]   Vol. 50 ( 1 ) page: 14-18   2018.1

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  522. 3Dプリンタの最新動向

    森 健策

    インナービジョン 2018年2月号   Vol. 33 ( 2 ) page: 35-36   2018.1

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  523. 3Dプリンタの最新動向

    森 健策

    インナービジョン 2018年2月号   Vol. 33 ( 2 ) page: 35-36   2018.1

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  524. Advanced Endoscopic Navigation: Surgical Big Data, Methodology, and Applications Reviewed

    Xiongbiao Luo, Kensaku Mori, Terry M. Peters

    Annual Review of Biomedical Engineering   Vol. 20 ( 1 ) page: 221 - 251   2018

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    Interventional endoscopy (e.g., bronchoscopy, colonoscopy, laparoscopy, cystoscopy) is a widely performed procedure that involves either diagnosis of suspicious lesions or guidance for minimally invasive surgery in a variety of organs within the body cavity. Endoscopy may also be used to guide the introduction of certain items (e.g., stents) into the body. Endoscopic navigation systems seek to integrate big data with multimodal information (e.g., computed tomography, magnetic resonance images, endoscopic video sequences, ultrasound images, external trackers) relative to the patient's anatomy, control the movement of medical endoscopes and surgical tools, and guide the surgeon's actions during endoscopic interventions. Nevertheless, it remains challenging to realize the next generation of context-aware navigated endoscopy. This review presents a broad survey of various aspects of endoscopic navigation, particularly with respect to the development of endoscopic navigation techniques. First, we investigate big data with multimodal information involved in endoscopic navigation. Next, we focus on numerous methodologies used for endoscopic navigation. We then review different endoscopic procedures in clinical applications. Finally, we discuss novel techniques and promising directions for the development of endoscopic navigation.

    DOI: 10.1146/annurev-bioeng-062117-120917

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  525. A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. Invited Reviewed

    Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference   Vol. 11073   page: 417 - 425   2018

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Springer  

    DOI: 10.1007/978-3-030-00937-3_48

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    Other Link: https://dblp.uni-trier.de/db/conf/miccai/miccai2018-4.html#RothSOSOHMM18

  526. [Implementation of artificial intelligence into colonoscopy: experience of research and development of computer-aided diagnostic system for endocytoscopy]. Reviewed

    Mori Y, Kudo SE, Mori K

    Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology   Vol. 115 ( 12 ) page: 1030 - 1036   2018

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    DOI: 10.11405/nisshoshi.115.1030

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  527. Application of three-dimensional print in minor hepatectomy following liver partition between anterior and posterior sectors Reviewed

    Tsuyoshi Igami, Yoshihiko Nakamura, Masahiro Oda, Hiroshi Tanaka, Motoi Nojiri, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

    ANZ Journal of Surgery     2017.12

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    DOI: 10.1111/ans.14331

  528. Study on the Robustness of ORB-SLAM Based Outlier Elimination in Bronchoscope Tracking -- RANSAC + EPnP for Outlier Detection --

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    MI2017-58   Vol. 117 ( 281 ) page: 47-52   2017.11

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  529. On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks

    Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    MI2017-51   Vol. 117 ( 281 ) page: 15-20   2017.11

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  530. Machine Learning Techniques for Automated Accurate Organ Segmentation and Their Applications to Diagnosis Assistance

    Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, Michitaka Fujiwara, Daniel Rueckert

    RSNA 2017 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 224   2017.11

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  531. 3Dプリンターの基礎と医療応用

    森 健策

    月刊心臓   Vol. 49 ( 11 ) page: 1104-1113   2017.11

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  532. Automated Multi-Organ Segmentation in Abdominal CT with Hierarchical 3D Fully-Convolutional Networks

    Holger R. Roth, Hirohisa Oda, MENG, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Kensaku Mori, Michitaka Fujiwara, Kazunari Misawa

    RSNA 2017 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 267   2017.11

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  533. 3D Microstructure Visualization of Lactiferous Duct Structure Based On Refraction X-Ray CT Imaging

    Kensaku Mori, Naoki Sunaguchi, Masami Ando, Tetsuya Yuasa, Daisuke Shimao, Shu Ichihara, Rajiv Gupta

    RSNA 2017 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 179   2017.11

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  534. Automated Multi-Organ Segmentation in Abdominal CT with Hierarchical 3D Fully-Convolutional Networks

    Holger R. Roth, Hirohisa Oda, MENG, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Kensaku Mori, Michitaka Fujiwara, Kazunari Misawa

    RSNA 2017 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 267   2017.11

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  535. 3Dプリンターの基礎と医療応用

    森 健策

    月刊心臓   Vol. 49 ( 11 ) page: 1104-1113   2017.11

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  536. 3D Microstructure Visualization of Lactiferous Duct Structure Based On Refraction X-Ray CT Imaging

    Kensaku Mori, Naoki Sunaguchi, Masami Ando, Tetsuya Yuasa, Daisuke Shimao, Shu Ichihara, Rajiv Gupta

    RSNA 2017 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 179   2017.11

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  537. サポートベクタマシンを用いたラジオミクスベースの消化管間質性腫瘍リスク評価システム

    陳 韜, 小田紘久, Holger R. Roth,北坂孝幸,小田昌宏,李 国新,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 239-240   2017.10

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  538. レベルセット法を用いた腎臓皮質と髄質領域の分割

    王 成龍,小田昌宏,永山 洵,吉野 能,山本徳則,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 266-267   2017.10

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  539. 開腹手術における 3 次元画像を用いた手術ナビゲーションシステムの臨床応用

    林 雄一郎, 三澤一成,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 253-254   2017.10

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  540. マイクロ CT を用いた膵臓パラフィンブロック標本の解析

    進藤幸治,大内田研宙,Holger R. Roth,小田紘久,岩本千佳,小田昌宏,中村雅史,森 健策,橋爪 誠

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 244-245   2017.10

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  541. MicroCT を用いた心筋配向解析手法の取り組み 〜MRI diffusion tensor 法との比較〜'

    秋田利明,小田紘久,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 243   2017.10

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  542. 深層学習を用いたマイクロ CT 画像からの眼球構造自動抽出 〜少量データ学習による解剖構造抽出性能の検証

    杉野貴明,Holger R. Roth,小田昌宏,小俣誠二,佐久間臣耶,新井史人,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 241-242   2017.10

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  543. 3D Fully Convolutional Networks と全連結条件付確率場による 3 次元 CT 画像からの多臓器自動抽出に関する検討

    楊 瀛,小田昌宏,Roth Holger,北坂孝幸,三澤一成, 森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 268-269   2017.10

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  544. Optimal port placement planning method for laparoscopic gastrectomy Reviewed

    Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 12 ( 10 ) page: 1677 - 1684   2017.10

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    In laparoscopic gastrectomy, as well as other laparoscopic surgery, the surgeon operates on target organs using a laparoscope and forceps inserted into the abdominal cavity through ports placed in the abdominal wall. Therefore, port placement is of vital significance in laparoscopic surgery. In this paper, we present a method for achieving optimal port placement in laparoscopic gastrectomy based on relationships between the locations of the ports and anatomical structures.
    We utilize three angle conditions to determine the optimal port placement. Proper angles for the angle conditions are calculated from measurements obtained during laparoscopic gastrectomy. The port positions determined by surgeons experienced in laparoscopic gastrectomy are measured using a three-dimensional positional tracker. The locations of the blood vessels, as well as other vital anatomical structures that are also critical in laparoscopic gastrectomy, are identified from computed tomography images. The angle relationships between the port and blood vessel locations are analyzed using the obtained positional information. Optimal port placement is determined based on the angle conditions.
    We evaluated the proposed method using the positional information obtained during 26 laparoscopic gastrectomies. Our evaluation determined that the proposed method generates optimal port placement with average errors of 22.2 and 21.2 mm in the left- and the right-hand side ports for a lead surgeon. Experienced surgeons confirmed that the optimal port placement generated by the proposed method was sufficient for clinical use.
    The proposed method provides optimal port placement in laparoscopic gastrectomy and enables a novice surgeon to determine port placement much like an experienced surgeon.

    DOI: 10.1007/s11548-017-1548-y

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  545. Automatic Segmentation of Head Anatomical Structures from Sparsely-annotated Images Reviewed

    Takaaki Sugino, Holger R. Roth, Mohammad Eshghi, Masahiro Oda, Min Suk Chung, Kensaku Mori

    IEEE International Conference on Cyborg and Bionic Systems     page: 145-149   2017.10

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  546. 機械学習を用いた腹部動脈血管名自動命名における臓器情報利用方法に関する一考察

    鉄村悠介,Holger Roth,林 雄一郎,小田昌宏,進藤幸治,大内田研宙,橋爪 誠,三澤一成, 森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 361-362   2017.10

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  547. 大腸内視鏡トラッキングのための regression forests を用いた大腸変形モデルの開発

    小田昌宏,北坂孝幸,古川和宏,宮原良二,廣岡芳樹,後藤秀実,Nassir Navabe, 森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 343-344   2017.10

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  548. 腹腔鏡下胃切除ナビゲーションにおける変形マッチングの有限要素法モデルを検証するための動物実験

    陳 韜, 魏 国棟,何 静怡,陳 光鋒,李 鐿,師 爲禮,祁 小龍,林 雄一郎,蒋 振剛,森 健策, 李 国新

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 339-340   2017.10

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  549. 複数フレームのステレオ内視鏡画像を用いた臓器表面形状復元に関する検討

    柴田睦実,林 雄一郎,小田昌宏,三澤一成,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 326-327   2017.10

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  550. 気管支鏡追跡における ORB-SLAM 適用に関する初期的検討

    王 成,小田昌宏,林 雄一郎,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 324-325   2017.10

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  551. 超拡大大腸内視鏡画像を利用した病理自動診断 〜腫瘍性病変に関する分類精度解析〜

    伊東隼人,森 悠一,三澤将史,小田昌宏,工藤進英,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 319-320   2017.10

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  552. 腹腔鏡下手術の教育支援に向けた VR 訓練システムの開発

    鈴木拓矢,道満恵介,目加田慶人,三澤一成,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 293   2017.10

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  553. 音声認識及びジェスチャ認識による腹腔鏡下手術ナビゲーション非接触操作システムの開発

    阿部史明,道満恵介,目加田慶人,三澤一成,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 285   2017.10

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  554. 血管芯線を用いた経時リンパ節の自動対応付け

    舘 高基,小田昌宏,中村嘉彦,三澤一成,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 278-279   2017.10

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  555. 自動設計特徴量を用いた 3 次元腹部 CT 像における膵臓領域の位置推定

    清水南月,Holger R. Roth,小田昌宏,三澤一成,藤原道隆,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 270-271   2017.10

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  556. μCT 画像を用いた大変形を含む連続切片 HE 染色画像の 3 次元再構築

    長柄 快,Holger Roth,中村彰太,小田紘久,守谷享泰,小田昌宏,森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 363-364   2017.10

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  557. 色ヒストグラム特徴を用いた腹腔鏡手術映像の体外・体内シーン分類

    山田 和希, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    平成 29 年度日本生体医工学会東海支部大会プログラム・抄録集     page: 00   2017.10

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  558. Automatic Segmentation of Head Anatomical Structures from Sparsely-annotated Images Reviewed

    Takaaki Sugino, Holger R. Roth, Mohammad Eshghi, Masahiro Oda, Min Suk Chung, Kensaku Mori

    IEEE International Conference on Cyborg and Bionic Systems     page: 145-149   2017.10

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  559. 3D Fully Convolutional Networks と全連結条件付確率場による 3 次元 CT 画像からの多臓器自動抽出に関する検討

    楊 瀛, 小田昌宏, Roth Holger, 北坂孝幸, 三澤一成, 森 健策

    日本コンピュータ外科学会誌 第26回日本コンピュータ外科学会大会特集号   Vol. 19 ( 4 ) page: 268-269   2017.10

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  560. 畳み込みニューラルネットワークを利用した超拡大大腸内視鏡画像における腫瘍・非腫瘍の分類

    伊東 隼人, 森 悠一, 三澤 将史, 小田 昌宏, 工藤 進英, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 117 ( 220 ) page: 17-21   2017.9

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  561. Micro-CT Guided 3D Reconstruction of Histological images

    Kai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda, Kensaku Mori

    LNCS 10530     page: 93-101   2017.9

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  562. Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Holger Roth, Kensaku Mori

    LNCS 10550     page: 60-69   2017.9

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  563. 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

    Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken'ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

    LNCS 10553     page: 222-230   2017.9

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  564. 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

    Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken'ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

    LNCS 10553     page: 222-230   2017.9

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  565. Virtual 3D microscope and magnified 3D print for naked eye analyses of alveoli and alveolar duct structures by Heitzman lung specimen with micro CT

    Hiroshi Natori, Masaki Mori, Hirotsugu Takabatake, Hirotoshi Homma, ensaku Mori, Masahiro Oda, Hiroyuki Koba, Hiroki Takahashi

    ERS International congress 2017     page: Session 439   2017.9

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  566. Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

    Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori

    LNCS 10434     page: 198-207   2017.9

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  567. TBS: Tensor-Based Supervoxels for Unfolding the Heart

    Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori

    LNCS 10433     page: 681-689   2017.9

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  568. Accuracy of diagnosing invasive colorectal cancer using computer-aided endocytoscopy Reviewed

    Kenichi Takeda, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Toyoki Kudo, Kunihiko Wakamura, Atsushi Katagiri, Toshiyuki Baba, Eiji Hidaka, Fumio Ishida, Haruhiro Inoue, Masahiro Oda, Kensaku Mori

    ENDOSCOPY   Vol. 49 ( 8 ) page: 798 - 802   2017.8

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    Background and study aims Invasive cancer carries the risk of metastasis, and therefore, the ability to distinguish between invasive cancerous lesions and less-aggressive lesions is important. We evaluated a computer-aided diagnosis system that uses ultra-high (approximately x 400) magnification endocytoscopy (EC-CAD).
    Patients and methods We generated an image database from a consecutive series of 5843 endocytoscopy images of 375 lesions. For construction of a diagnostic algorithm, 5543 endocytoscopy images from 238 lesions were randomly extracted from the database for machine learning. We applied the obtained algorithm to 200 endocytoscopy images and calculated test characteristics for the diagnosis of invasive cancer. We defined a high-confidence diagnosis as having a &gt;= 90% probability of being correct.
    Results Of the 200 test images, 188 (94.0%) were assessable with the EC-CADsystem. Sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were 89.4%, 98.9%, 94.1%, 98.8%, and 90.1 %, respectively. High-confidence diagnosis had a sensitivity, specificity, accuracy, PPV, and NPV of 98.1%, 100%, 99.3%, 100 %, and 98.8%, respectively.
    Conclusion: EC-CADmay be a useful tool in diagnosing invasive colorectal cancer.

    DOI: 10.1055/s-0043-105486

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  569. Multi-atlas pancreas segmentation: Atlas selection based on vessel structure Reviewed

    Kenichi Karasawa, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori

    Medical Image Analysis   Vol. 39   page: 18-28   2017.7

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    DOI: 10.1016/j.media.2017.03.006

  570. K-means 法と Joint Unsupervised Learning による3次元医用画像の教師なしセグメンテーション

    守谷享泰, Holger R. Roth, 中村彰太, 小田紘久, 長柄快, 小田昌宏, 森健策

    第36回日本医用画像工学会大会予稿集     page: OP16-5   2017.7

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  571. 条件付き確率場による医用画像からの多臓器抽出におけるHigher Order Potential とボクセル連結構造の影響に関する考察

    楊瀛, 小田昌宏, Roth Holger, 北坂孝幸, 三澤一成, 森健策

    第36回日本医用画像工学会大会予稿集     page: OP16-4   2017.7

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  572. 3DU-Netによる3次元胸部CT像からのリンパ節検出

    小田 紘久, KanwalK.Bhatia, HolgerR.Roth, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博 ,JuliaA.Schnabel, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP1-6   2017.7

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  573. Torso organ segmentation in CT using fine-tuned 3D fully convolutional networks

    Holger ROTH,Ying YANG,Masahiro ODA,Hirohisa ODA, Yuichiro HAYASHI,Natsuki SHIMIZU,Takayuki KITASAKA,Michitaka FUJIWARA,Kazunari MISAWA,Kensaku MORI

        page: OP1-8   2017.7

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  574. Improvement on Robustness of ORB-SLAM Based Surgical Navigation System by Building Submap

    王成 , 小田昌宏, 林雄一郎, 三澤一成, 森健策

    第36回日本医用画像工学会大会予稿集     page: OP2-6   2017.7

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  575. ステレオ内視鏡画像からの臓器形状復元手法における複数フレームの利用に関する初期的検討

    柴田 睦実, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP2-8   2017.7

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  576. 機械学習を用いた腹部動脈血管名自動命名における肝動脈分岐情報利用方法に関する一考察

    鉄村 悠介, 張 暁楠, Holger Roth, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP6-1   2017.7

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  577. A Study on Fine Blood Vessel Segmentation Using Fully-connected Conditional Random Field

        page: OP11-2   2017.7

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  578. CT 像から抽出した腹部動脈領域におけるCNN を用いた過検出削減でのパッチ画像生成手法の検討

    小田 昌宏, 山本 徳則, 吉野 能, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP11-7   2017.7

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  579. マイクロ CT 画像情報を利用した特徴点対応付けに基づく顕微鏡画像の 3 次元再構築

    長柄 快, Holger R. ROTH, 中村 彰太, 小田 紘久, 守谷 享泰, 小田 昌宏, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP14-1   2017.7

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  580. 血管情報を用いた経時リンパ節の自動対応付け手法に関する研究

    舘 高基, 小田 昌宏, 中村 嘉彦, 寶珠山 裕, 三澤 一成, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP15-4   2017.7

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  581. A Study on Fine Blood Vessel Segmentation Using Fully-connected Conditional Random Field

        page: OP11-2   2017.7

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  582. 3DU-Netによる3次元胸部CT像からのリンパ節検出

    小田 紘久, KanwalK.Bhatia, HolgerR.Roth, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, JuliaA.Schnabel, 森 健策

    第36回日本医用画像工学会大会予稿集     page: OP1-6   2017.7

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  583. Feature-based registration of micro CT volumes

    Kai Nagara, Shota Nakamura, Hoiger R. Roth, Masahiro Oda, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kesaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S201-S203   2017.6

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  584. Multi-organ segmentation in abdominal CT using 3D fully convolutional networks

    Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Hirohisa Oda, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S55-S57   2017.6

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  585. Feature-based registration of micro CT volumes

    Kai Nagara, Shota Nakamura, Hoiger R. Roth, Masahiro Oda, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kesaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S201-S203   2017.6

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  586. Multi-organ segmentation in abdominal CT using 3D fully convolutional networks

    Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Hirohisa Oda, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S55-S57   2017.6

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  587. Endocytoscope image classification using deep convolutional neural networks

    Masahiro Oda, Yutaka Hoshiyama, Masashi Misawa, Yuichi Mori, Kenichi Takeda, Sin-ei Kudo, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S147-S148   2017.6

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  588. False positive reduction of abdominal artery segmentation from CT volumes based on deep convolutional neural networks

    Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S27-S29   2017.6

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  589. Endocytoscope image classification using deep convolutional neural networks

    Masahiro Oda, Yutaka Hoshiyama, Masashi Misawa, Yuichi Mori, Kenichi Takeda, Sin-ei Kudo, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S147-S148   2017.6

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  590. False positive reduction of abdominal artery segmentation from CT volumes based on deep convolutional neural networks

    Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 12   page: S27-S29   2017.6

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  591. Automatic Anatomical Labeling of Arteries and Veins Using Conditional Random Fields

    Takayuki Kitasaka, Mitsuru Kagajo, Yukitaka Nimura, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    8th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2017)     page: -   2017.6

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  592. Automatic Anatomical Labeling of Arteries and Veins Using Conditional Random Fields

    Takayuki Kitasaka, Mitsuru Kagajo, Yukitaka Nimura, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    8th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2017)     page: -   2017.6

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  593. Automatic anatomical labeling of arteries and veins using conditional random fields Reviewed

    Takayuki Kitasaka, Mitsuru Kagajo, Yukitaka Nimura, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 12 ( 6 ) page: 1041 - 1048   2017.6

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    For safe and reliable laparoscopic surgery, it is important to determine individual differences of blood vessels such as the position, shape, and branching structures. Consequently, a computer-assisted laparoscopy that displays blood vessel structures with anatomical labels would be extremely beneficial. This paper details an automated anatomical labeling method for abdominal arteries and veins extracted from 3D CT volumes.
    The proposed method represents a blood vessel tree as a probabilistic graphical model by conditional random fields (CRFs). An adaptive gradient algorithm is adopted for structure learning. The anatomical labeling of blood vessel branches is performed by maximum a posteriori estimation.
    We applied the proposed method to 50 cases of arterial and portal phase abdominal X-ray CT volumes. The experimental results showed that the F-measure of the proposed method for abdominal arteries and veins was 94.4 and 86.9%, respectively.
    We developed an automated anatomical labeling method to annotate each blood vessel branches of abdominal arteries and veins using CRF. The proposed method outperformed a state-of-the-art method.

    DOI: 10.1007/s11548-017-1549-x

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  594. Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts Reviewed

    Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Kenichi Takeda, Yasuharu Maeda, Shinichi Kataoka, Hiroki Nakamura, Toyoki Kudo, Kunihiko Wakamura, Takemasa Hayashi, Atsushi Katagiri, Toshiyuki Baba, Fumio Ishida, Haruhiro Inoue, Yukitaka Nimura, Msahiro Oda, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 12 ( 5 ) page: 757 - 766   2017.6

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    Real-time characterization of colorectal lesions during colonoscopy is important for reducing medical costs, given that the need for a pathological diagnosis can be omitted if the accuracy of the diagnostic modality is sufficiently high. However, it is sometimes difficult for community-based gastroenterologists to achieve the required level of diagnostic accuracy. In this regard, we developed a computer-aided diagnosis (CAD) system based on endocytoscopy (EC) to evaluate cellular, glandular, and vessel structure atypia in vivo. The purpose of this study was to compare the diagnostic ability and efficacy of this CAD system with the performances of human expert and trainee endoscopists.
    We developed a CAD system based on EC with narrow-band imaging that allowed microvascular evaluation without dye (ECV-CAD). The CAD algorithm was programmed based on texture analysis and provided a two-class diagnosis of neoplastic or non-neoplastic, with probabilities. We validated the diagnostic ability of the ECV-CAD system using 173 randomly selected EC images (49 non-neoplasms, 124 neoplasms). The images were evaluated by the CAD and by four expert endoscopists and three trainees. The diagnostic accuracies for distinguishing between neoplasms and non-neoplasms were calculated.
    ECV-CAD had higher overall diagnostic accuracy than trainees (87.8 vs 63.4%; ), but similar to experts (87.8 vs 84.2%; ). With regard to high-confidence cases, the overall accuracy of ECV-CAD was also higher than trainees (93.5 vs 71.7%; ) and comparable to experts (93.5 vs 90.8%; ).
    ECV-CAD showed better diagnostic accuracy than trainee endoscopists and was comparable to that of experts. ECV-CAD could thus be a powerful decision-making tool for less-experienced endoscopists.

    DOI: 10.1007/s11548-017-1542-4

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  595. 機械学習を用いた内視鏡画像自動診断

    第56回 日本生体医工学会大会 プログラム・抄録集     page: 344   2017.5

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  596. 3Dプリンタの医療応用

    森 健策

    医用画像情報学会雑誌   Vol. 34 ( 1 ) page: 1-6   2017.4

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  597. 3Dプリンタの医療応用

    森 健策

    医用画像情報学会雑誌   Vol. 34 ( 1 ) page: 1-6   2017.4

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  598. Development of an automatic producing cholangiography procedure reconstructed from portal phase multidetector-row computed tomography images: Preliminary experience Reviewed

    Tomoaki Hirose, Tsuyoshi Igami, Kusuto Koga, Yuichiro Hayashi, Tomoki Ebata, Yukihiro, Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

    Surgery Today   Vol. 47 ( 3 ) page: 365-374   2017.3

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    DOI: 10.1007/s00595-016-1394-5

  599. Supervoxel classification forests for estimating pairwise image correspondences Reviewed

    Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker

    Pattern Recognition   Vol. 63   page: 561-569   2017.3

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    DOI: 10.1016/j.patcog.2016.09.026

  600. An improved method for pancreas segmentation using SLIC superpixels and interactive region merging

    Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Fei He, Wei He, Yanfang Li, Fei Yan, Huimao Zhang, Kensaku Mori, Zhengang Jiang

    Proceedings of SPIE   Vol. 10134   page: 101343H-1-101343H-12   2017.2

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    DOI: doi:10.1117/12.2254366

  601. Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval

    Qingliang Li, Weili SHI, Huamin Yang, Huimao Zhang, Tao CHEN, Kensaku Mori, Guoxin LI, Zhengang Jiang

    Proceedings of SPIE   Vol. 10134   page: 101342W-1-101342W-8   2017.2

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    DOI: doi:10.1117/12.2255799

  602. Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes

    Hirohisa Oda, Kanwal Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori

    Proceedings of SPIE   Vol. 10134   page: 101341D-1-101341D-12   2017.2

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    DOI: 10.1117/12.2254782

  603. Extracellular matrix directions estimation of the heart on microfocus X-ray CT volumes

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

    Proceedings of SPIE   Vol. 10137   page: 101370M-1-101370M-9   2017.2

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    DOI: 10.1117/12.2254949

  604. Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume Reviewed

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Junji Ueno, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 12 ( 2 ) page: 245 - 261   2017.2

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    Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway tree structure from a CT volume is quite a challenging task. Several researchers have proposed automated airway segmentation algorithms basically based on region growing and machine learning techniques. However, these methods fail to detect the peripheral bronchial branches, which results in a large amount of leakage. This paper presents a novel approach for more accurate extraction of the complex airway tree.
    This proposed segmentation method is composed of three steps. First, Hessian analysis is utilized to enhance the tube-like structure in CT volumes; then, an adaptive multiscale cavity enhancement filter is employed to detect the cavity-like structure with different radii. In the second step, support vector machine learning will be utilized to remove the false positive (FP) regions from the result obtained in the previous step. Finally, the graph-cut algorithm is used to refine the candidate voxels to form an integrated airway tree.
    A test dataset including 50 standard-dose chest CT volumes was used for evaluating our proposed method. The average extraction rate was about 79.1 % with the significantly decreased FP rate.
    A new method of airway segmentation based on local intensity structure and machine learning technique was developed. The method was shown to be feasible for airway segmentation in a computer-aided diagnosis system for a lung and bronchoscope guidance system.

    DOI: 10.1007/s11548-016-1492-2

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  605. Extraction of membrane structure in eyeball from MR volumes

    Masahiro Oda, Kin Taichi, Kensaku Mori

    Proceedings of SPIE   Vol. 10137   page: 101371S-1-101371S-6   2017.2

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    DOI: 10.1117/12.2254095

  606. A study on surgical field retrieval for intelligent laparotomy video archive system

    Takayuki Kitasaka, Yuki Kondo, Yuri Kimura, Yuki Takanashi, Hiroaki Sawano, Yasuhito Suenaga, Kazunari Misawa, and Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 327-328   2017.1

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  607. GPU Implementation of SLIC Supervoxel Oversegmentation

    Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Julia A. Schnabel, and Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 266-268   2017.1

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  608. A study on surgical field retrieval for intelligent laparotomy video archive system

    Takayuki Kitasaka, Yuki Kondo, Yuri Kimura, Yuki Takanashi, Hiroaki Sawano, Yasuhito Suenaga, Kazunari Misawa, Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 327-328   2017.1

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  609. Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow

    Qier Meng, Takayuki Kitasaka, Masahiro Oda, and Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 192-195   2017.1

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  610. Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray microtomography of Lung Pathology

    Holger Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, and Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 54-56   2017.1

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  611. Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow

    Qier Meng, Takayuki Kitasaka, Masahiro Oda, Kensaku Mori

    International Forum on Medical Imaging in Asia (IFMIA)     page: 192-195   2017.1

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  612. Structured Random Forestを用いた3次元腹部CT像からのリンパ節自動検出

    寳珠山 裕, Holger Roth, 小田 昌宏, 中村 嘉彦, 三澤 一成, 藤原 道隆, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 393 ) page: 23-28   2017.1

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  613. MISTライブラリのためのGPUプログラミング

    小田 紘久, 小田 昌宏, 北坂 孝幸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 393 ) page: 133-136   2017.1

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  614. Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project

    Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Min Suk Chung, Kensaku Mori

    MI2016-119   Vol. 116 ( 393 ) page: 191-194   2017.1

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  615. Influence of Voxel-Connection Structure in Organ Segmentation Based on Conditional Random Field

    Ying Yang, Masahiro Oda, Kazunari Misawa, Daniel Rueckert, Kensaku Mori

    MI2016-112   Vol. 116 ( 393 ) page: 157-162   2017.1

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  616. MICCAI 2016参加報告

    小田 昌宏, 宮内 翔子, 諸岡 健一, 周 向栄, 増谷 佳孝, 中口 俊哉, 井宮 淳, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 393 ) page: 185-190   2017.1

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  617. 3Dプリンタ・ユーザーインターフェイス等の最新動向

    森 健策

    インナービジョン 2017年2月号   Vol. 32 ( 2 ) page: 44-45   2017.1

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  618. Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings Reviewed

    Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 12 ( 1 ) page: 39 - 50   2017.1

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    Polyps found during CT colonography can be removed by colonoscopic polypectomy. A colonoscope navigation system that navigates a physician to polyp positions while performing the colonoscopic polypectomy is required. Colonoscope tracking methods are essential for implementing colonoscope navigation systems. Previous colonoscope tracking methods have failed when the colon deforms during colonoscope insertions. This paper proposes a colonoscope tracking method that is robust against colon deformations.
    The proposed method generates a colon centerline from a CT volume and a curved line representing the colonoscope shape (colonoscope line) by using electromagnetic sensors. We find correspondences between points on a deformed colon centerline and colonoscope line by a landmark-based coarse correspondence finding and a length-based fine correspondence finding processes. Even if the coarse correspondence finding process fails to find some correspondences, which occurs with colon deformations, the fine correspondence finding process is able to find correct correspondences by using previously recorded line lengths.
    Experimental results using a colon phantom showed that the proposed method finds the colonoscope tip position with tracking errors smaller than 50 mm in most trials. A physician who specializes in gastroenterology commented that tracking errors smaller than 50 mm are acceptable. This is because polyps are observable from the colonoscope camera when positions of the colonoscope tip and polyps are closer than 50 mm.
    We developed a colonoscope tracking method that is robust against deformations of the colon. Because the process was designed to consider colon deformations, the proposed method can track the colonoscope tip position even if the colon deforms.

    DOI: 10.1007/s11548-016-1456-6

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  619. 3Dプリンタ・ユーザーインターフェイス等の最新動向

    森 健策

    インナービジョン 2017年2月号   Vol. 32 ( 2 ) page: 44-45   2017.1

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  620. Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter

    Qier Meng, Takayuki Kitasaka, Masahiro Oda, Kensaku Mori

    MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS   Vol. 10134   page: 101370M-1-101370M-9   2017

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    Airway segmentation is an important step in analyzing chest CT volumes for computerized lung cancer detection, emphysema diagnosis, asthma diagnosis, and pre- and intra-operative bronchoscope navigation. However, obtaining an integrated 3-D airway tree structure from a CT volume is a quite challenging task. This paper presents a novel airway segmentation method based on intensity structure analysis and bronchi shape structure analysis in volume of interest (VOI). This method segments the bronchial regions by applying the cavity enhancement filter (CEF) to trace the bronchial tree structure from the trachea. It uses the CEF in each VOI to segment each branch and to predict the positions of VOIs which envelope the bronchial regions in next level. At the same time, a leakage detection is performed to avoid the leakage by analysing the pixel information and the shape information of airway candidate regions extracted in the VOI. Bronchial regions are finally obtained by unifying the extracted airway regions. The experiments results showed that the proposed method can extract most of the bronchial region in each VOI and led good results of the airway segmentation.

    DOI: 10.1117/12.2254233

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  621. かがくゼミナール「立体臓器モデルを作ろう」実施報告

    森 健策, 長柄 快, 舘 高基, 伊神 剛, 堀内 智子

    名古屋市科学館紀要     page: 35-41   2017

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  622. An improved method for pancreas segmentation using SLIC and interactive region merging

    Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Qingliang Li, Fei He, Wei He, Yanfang Li, Huimao Zhang, Kensaku Mori, Zhengang Jiang

    MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS   Vol. 10134   page: 101343H-1-101343H-12   2017

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    Considering the weak edges in pancreas segmentation, this paper proposes a new solution which integrates more features of CT images by combining SLIC superpixels and interactive region merging. In the proposed method, Mahalanobis distance is first utilized in SLIC method to generate better superpixel images. By extracting five texture features and one gray feature, the similarity measure between two superpixels becomes more reliable in interactive region merging. Furthermore, object edge blocks are accurately addressed by re-segmentation merging process. Applying the proposed method to four cases of abdominal CT images, we segment pancreatic tissues to verify the feasibility and effectiveness. The experimental results show that the proposed method can make segmentation accuracy increase to 92% on average. This study will boost the application process of pancreas segmentation for computer-aided diagnosis system.

    DOI: 10.1117/12.2254366

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  623. Quantitative Analysis of Renal Dominant Regions based on Precise Renal Artery Segmentation'

    Chenglong Wang, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    RSNA 2016 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 214   2016.12

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  624. Myofiber Visualization System for Micro CT Volumes of Left Ventricle

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

    RSNA 2016 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 183   2016.12

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  625. Naked Eye Visible Pores of Kohn and the Shapes of Alveoli on Magnified Three Dimensional Printed Model of the Lung Specimen by Virtual Image of Micro CT: Initial Experience

    Hiroshi Natori, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Homma, Kensaku Mori, Masahiro Oda, Hiroyuki Koba, Hiroki Takahashi

    RSNA 2016 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 151   2016.11

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  626. Visualization Method of Myofiber Structure of the Left Ventricle Apex from Micro CT Volumes

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

    RSNA 2016 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 94   2016.11

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  627. ステレオ内視鏡画像からの臓器形状復元手法における誤対応点削減処理の提案と手術画像への適用

    柴田 睦実, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 367-368   2016.11

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  628. 脳神経外科手術ナビゲーションのためのステレオ画像からの脳表の3次元形状の復元

    Mohammad Eshghi, 林 雄一郎, 柴田 睦実, 小田 昌宏, 藤井 正純, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 246-247   2016.11

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  629. Structured Random Forest を用いた3次元腹部CT像からのリンパ節自動検出に関する初期的検討~統計的特徴量を利用したリンパ節検出率の改善~

    寶珠山 裕, Holger R.Roth, 小田 昌宏, 中村 嘉彦, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 287-288   2016.11

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  630. 位置関係を用いた特徴量の導入による胆道領域セグメンテーション手法の改善

    陳 鵬飛, 田中 寛, 小田 紘久, 小田 昌宏, 林 雄一郎,伊神 剛, 椰野 正人, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 290-291   2016.11

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  631. 血管木構造構築手法の改善とその血管名称自動対応付けへの応用

    張 暁楠, 加賀城 充, 小田 昌宏, 林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 293-294   2016.11

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  632. テンソルベースグラフカットを用いた血管抽出手法の実質臓器への応用

    王 成龍, 小田 昌宏, 吉野 能, 山本 徳則, 伊神 剛, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 295-296   2016.11

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  633. 腹腔鏡下胃切除術におけるポート位置決定支援のためのポート位置プランニングシステムの開発

    林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 350-351   2016.11

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  634. 腹腔鏡ナビゲーションシステムにおける ORB-SLAM の適用に関する初期的検討

    王 成, Mohammad Eshghi, 小田 昌宏, 林 雄一郎, 三澤 一成, 蒋 振剛, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 355-356   2016.11

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  635. 回帰木を用いたCT画像における臓器の局所化に関する特徴量の検討

    清水 南月, 小田 昌宏, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第25回日本コンピュータ外科学会大会特集号(JSCAS2016)   Vol. 18 ( 4 ) page: 365-366   2016.11

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  636. From macro-scale to micro-scale computational anatomy: perspective of the next 20 years Reviewed

    Kensaku Mori

    Medical Image Analysis     2016.10

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    DOI: doi:10.1016/j.media.2016.06.034

  637. Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation

    Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, and Kensaku Mori

    MICCAI 2016   Vol. LNCS 9901   page: 556-563   2016.10

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  638. Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation

    Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, and Kensaku Mori

    MICCAI 2016   Vol. LNCS 9902   page: 353-361   2016.10

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  639. Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume Reviewed

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Junji Ueno, Kensaku Mori

    International Journal of Computer Assisted Radiology Surgery     page: (In Press)   2016.10

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    DOI: doi:10.1007/s11548-016-1492-2

  640. Supervoxel classification forests for estimating pairwise image correspondences Reviewed

    Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker

    Pattern Recognition   Vol. 63   page: 561–569   2016.9

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    DOI: DOI:10.1016/j.patcog.2016.09.026

  641. 特集 画像ナビゲーションによる消化器癌手術 各論:胃癌手術におけるナビゲーションの現状と新しい取り組み

    藤原 道隆, 三澤 一成, 森 健策, 川嶋 絋一郎, 田中 由浩, 小寺 泰弘

    手術   Vol. 70 ( 10 ) page: 1275-1286   2016.9

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  642. Development of an automatic producing cholangiography procedure reconstructed from portal phase multidetectorrow computed tomography images: Preliminary experience Reviewed

    Tomoaki Hirose, Tsuyoshi Igami, Kusuto Koga, Yuichiro Hayashi, Tomoki Ebata, Yukihiro, Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

    Surgery Today     2016.8

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    DOI: DOI: 10.1007/s00595-016-1394-5

  643. Cascade Registration of Micro CT Volumes taken in Multiple Resolutions

    Kai Nagara, Hirohisa Oda, Shota Nakamura, Masahiro Oda, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Daniel Rueckert, and Kensaku Mori

    Medical Imaging and Augmented Reality, 7th International Conference, MIAR 2016   Vol. LNCS 9805   page: 269–280   2016.8

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  644. Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study Reviewed

    Yuichi Mori, Shin-ei Kudo ,Philip Wai Yan Chiu, Rajvinder Singh , Masashi Misawa, Kunihiro Wakamura, Toyoki Kudo, Takemasa Hayashi, Atsushi Katagiri, Hideyuki Miyachi, Fumio Ishida, Yasuharu Maeda, Haruhiro Inoue, Yukitaka Nimura, Masahiro Oda, Kensaku Mori

    Endoscopy 2016   Vol. 48 ( 12 ) page: 1110-1118   2016.8

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    DOI: 10.1055/s-0042-113609

  645. Cascade Registration of Micro CT Volumes taken in Multiple Resolutions

    Kai Nagara, Hirohisa Oda, Shota Nakamura, Masahiro Oda, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Daniel Rueckert, Kensaku Mori

    Medical Imaging and Augmented Reality, 7th International Conference, MIAR 2016   Vol. LNCS 9805   page: 269–280   2016.8

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  646. Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings Reviewed

    Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara ,Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery     page: (accepted)   2016.7

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    DOI: DOI: 10.1007/s11548-016-1456-6

  647. 3次元腹部X線CT像からの経時リンパ節の自動検出精度の検討

    中村 嘉彦, 寳珠山 裕, 林 雄一郎, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 160 ) page: 39-42   2016.7

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  648. A Study on Fast Interactive Segmentation on 3D Medical Image using Graph-cut

    Chenglong Wang, Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Shigeru Nawano, Kensaku Mori

      Vol. 116 ( 160 ) page: 23-28   2016.7

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  649. 腹腔鏡下手術ナビゲーションシステムのためのステレオ内視鏡画像からの臓器形状復元の定量評価

    柴田 睦実, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 160 ) page: 7-12   2016.7

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  650. 開腹手術映像の知的アーカイブのための遮蔽物除去手法の評価

    北坂 孝幸, 後藤 慎史, 杉田 峻, 富永 迅, 澤野 弘明, 末永 康仁, 三澤一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 160 ) page: 5-6   2016.7

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  651. Ⅰ 医療分野における3Dプリンタ利活用の最新動向 医療分野における3Dプリンタの応用動向─診療報酬改定の影響と今後の動向も含めて

    森 健策

    インナービジョン 2016年7月号   Vol. 31 ( 7 ) page: 4-7   2016.7

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  652. Ⅲ 3Dプリンティングのハンドリングのノウハウ

    森 健策

    インナービジョン 2016年7月号   Vol. 31 ( 7 ) page: 20-24   2016.7

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  653. Surgical field retrieval for intelligent laparotomy video archive system

    Takayuki Kitasaka, Shinji Goto, Shun Sugita, Hayate Tominaga, Hiroaki Sawano, Yasuhito Suenaga, Kazunari Misawa, Kensaku MORI

        page: PP-7   2016.7

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  654. 腹腔鏡下胃切除術のための手術ナビゲーションシステムにおけるステレオ内視鏡画像からの臓器形状復元に関する検討

    柴田 睦実, 森田 千尋, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    第35回日本医用画像工学会大会予稿集     page: OP1-10   2016.7

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  655. Structured Random Forest を用いた 3 次元腹部 CT 像からのリンパ節自動検出に関する初期的検討

    寳珠山 裕, 二村 幸孝, 小田 昌宏, 三澤 一成, 藤原 道隆, 森 健策

    第35回日本医用画像工学会大会予稿集     page: OP7-4   2016.7

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  656. Regression Forest を用いた膵臓領域の局所化に関する初期的検討

    清水 南月, 小田 昌宏, 三澤 一成 ,藤原 道隆, 森 健策

    第35回日本医用画像工学会大会予稿集     page: OP8-7   2016.7

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  657. 腹腔鏡下手術ナビゲーションシステムにおける剛体と非剛体レジストレーションを用いた臓器表面形状による位置合わせ手法の検討

    林 雄一郎, 森田 千尋, 三澤 一成, 森 健策

    第35回日本医用画像工学会大会予稿集     page: PP-29   2016.7

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  658. Reduction of User Interaction Cost of Graph-cut Using Gradient Vector Flow in Blood Vessel Segmentation

    Chenglong WANG, Masahiro ODA, Yasushi YOSHINO, Tokunori YAMAMOTO, Kensaku MORI

        page: OP6-5   2016.7

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  659. Myofiber Extraction from Micro CT Volumes by Combining Structure Tensor and Hessian Matrix

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

        page: OP6-6   2016.7

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  660. Extraction of Intrahepatic Bile Duct from Dual-energy CT Volumes by Selective Use of Feature Values from Different Scales

    Pengfei CHEN, Hiroshi TANAKA, Masahiro ODA, Yuichiro HAYASHI, Tsuyoshi IGAMI, Masato NAGINO, Kensaku MORI

        page: OP9-1   2016.7

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  661. A Study on Volume Similarity Metric for Clinical and Micro CT Volume Registration

    NAGARA, Shota NAKAMURA, Masahiro ODA, Hirotoshi HOMMA, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI

        page: OP9-2   2016.7

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  662. A Study on Volume Similarity Metric for Clinical and Micro CT Volume Registration

    NAGARA, Shota NAKAMURA, Masahiro ODA, Hirotoshi HOMMA, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI

        page: OP9-2   2016.7

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  663. 3次元腹部X線CT像からの経時リンパ節の自動検出精度の検討

    中村 嘉彦, 寳珠山 裕, 林 雄一郎, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 116 ( 160 ) page: 39-42   2016.7

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  664. A Study on Fast Interactive Segmentation on 3D Medical Image using Graph-cut

    Chenglong Wang, Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Shigeru Nawano, Kensaku Mori

      Vol. 116 ( 160 ) page: 23-28   2016.7

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  665. Port placement planning method for assistant surgeon in laparoscopic gastrectomy

    Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s231-232   2016.6

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  666. Port placement planning method for assistant surgeon in laparoscopic gastrectomy

    Y. Hayashi, K. Misawa, K. Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 13 ( 1 ) page: s231-232   2016.6

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  667. Characterization of Colorectal Lesions Using a Computer-Aided Diagnostic System for Narrow-Band Imaging Endocytoscopy Reviewed

    Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Hiroki Nakamura, Shinichi Kataoka, Yasuharu Maeda, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi, Atsushi Katagiri, Toshiyuki Baba, Fumio Ishida, Haruhiro Inoue, Yukitaka Nimura, Kensaku Mori

    Gastroenterology   Vol. 150 ( 7 ) page: 1531-1532.e3   2016.6

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    DOI: DOI:10.1053/j.gastro.2016.04.004

  668. Comparison of Hessian-Matrix- and structure-tensor-based methods for myofiber structure extraction from micro-CT volumes

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S38-S39   2016.6

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  669. Evaluation of efficiency of feature values for false positive reduction of automated mediastinal lymph node detection

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S42-S43   2016.6

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  670. Segmentation method of abdominal arteries from CT volumes utilizing intensity transition along arteries

    Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S46-S47   2016.6

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  671. Evaluation of efficiency of feature values for false positive reduction of automated mediastinal lymph node detection

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S130-S131   2016.6

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  672. A multi-scale and multi-modality statistical model of pancreas

    Akinobu Shimizu, Hidekata Hontani, Naoki Kobayashi, Hayaru Shouno, Kensaku Mori, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S165-S166   2016.6

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  673. Scale-seamless registration and visualization for micro-computational anatomy

    Kensaku Mori, Kai Nagara, Shota Nakamura, Masahiro Oda

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S169-S171   2016.6

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  674. An improved method for intrahepatic bile duct extraction from dual-energy CT volumes based on sample data adjustment for SVM training

    Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Yukihiro Hayashi, Tsuyoshi Igami, Masato Nagino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S218-S219   2016.6

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  675. Port placement planning assistance for laparo - scopic gastrectomy based on anatomical structure analysis

    Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S265-S266   2016.6

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  676. An improved method for intrahepatic bile duct extraction from dual-energy CT volumes based on sample data adjustment for SVM training

    Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Yukihiro Hayashi, Tsuyoshi Igami, Masato Nagino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S218-S219   2016.6

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  677. A multi-scale and multi-modality statistical model of pancreas

    Akinobu Shimizu, Hidekata Hontani, Naoki Kobayashi, Hayaru Shouno, Kensaku Mori, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S165-S166   2016.6

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  678. Comparison of Hessian-Matrix- and structure-tensor-based methods for myofiber structure extraction from micro-CT volumes

    Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S38-S39   2016.6

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  679. Evaluation of efficiency of feature values for false positive reduction of automated mediastinal lymph node detection

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S42-S43   2016.6

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  680. Evaluation of efficiency of feature values for false positive reduction of automated mediastinal lymph node detection

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S42-S43   2016.6

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  681. Port placement planning assistance for laparo - scopic gastrectomy based on anatomical structure analysis

    Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S265-S266   2016.6

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  682. Segmentation method of abdominal arteries from CT volumes utilizing intensity transition along arteries

    Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S46-S47   2016.6

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  683. Scale-seamless registration and visualization for micro-computational anatomy

    Kensaku Mori, Kai Nagara, Shota Nakamura, Masahiro Oda

    International Journal of Computer Assisted Radiology and Surgery 2016   Vol. 11 ( 1 ) page: S169-S171   2016.6

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  684. Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer Reviewed

    Yuichiro Hayashi, Kazunari Misawa, Masahiro Oda, David J. Hawkes, Kensaku Mori

    International Journal of Computer Assisted Radiology Surgery   Vol. 11 ( 5 ) page: 827-836   2016.5

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    DOI: doi: 10.1007/s11548-015-1293-z

  685. Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer Reviewed

    Yuichiro Hayashi, Kazunari Misawa, David J. Hawkes, Kensaku Mor

    International Journal of Computer Assisted Radiology Surgery   Vol. 11 ( 5 ) page: 837-845   2016.5

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    DOI: doi: 10.1007/s11548-015-1346-3

  686. A Computer-Aided Diagnosis System for Endocytoscopy With Narrow-Band Imaging Provides Highly Accurate Diagnosis Reviewed

    Misawa Masashi, Kudo Shin-ei, Mori Yuichi, Kataoka Shinichi, Maeda Yasuharu, Sako Tomoya, Watanabe Mayuko, Kudo Toyoki, Hisayuki Tomokazu, Wakamura Kunihiko, Hayashi Takemasa, Miyachi Hideyuki, Katagiri Atsushi, Ishida Fumio, Inoue Haruhiro, Nimura Yukitaka, Mori Kensaku

    GASTROINTESTINAL ENDOSCOPY   Vol. 83 ( 5 ) page: AB287 - AB288   2016.5

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    DOI: 10.1016/j.gie.2016.03.449

    Web of Science

  687. Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer Reviewed

    Yuichiro Hayashi, Kazunari Misawa, Masahiro Oda, David J. Hawkes, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 11 ( 5 ) page: 827 - 836   2016.5

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    Purpose Knowledge of the specific anatomical information of a patient is important when planning and undertaking laparoscopic surgery due to the restricted field of view and lack of tactile feedback compared to open surgery. To assist this type of surgery, we have developed a surgical navigation system that presents the patient's anatomical information synchronized with the laparoscope position. This paper presents the surgical navigation system and its clinical application to laparoscopic gastrectomy for gastric cancer.
    Methods The proposed surgical navigation system generates virtual laparoscopic views corresponding to the laparoscope position recorded with a three-dimensional (3D) positional tracker. The virtual laparoscopic views are generated from preoperative CT images. A point-based registration aligns coordinate systems between the patient's anatomy and image coordinates. The proposed navigation system is able to display the virtual laparoscopic views using the registration result during surgery.
    Results We performed surgical navigation during laparoscopic gastrectomy in 23 cases. The navigation system was able to present the virtual laparoscopic views in synchronization with the laparoscopic position. The fiducial registration error was calculated in all 23 cases, and the average was 14.0 mm (range 6.1-29.8).
    Conclusion The proposed surgical navigation system can provide CT-derived patient anatomy aligned to the laparoscopic view in real time during surgery. This system enables accurate identification of vascular anatomy as a guide to vessel clamping prior to total or partial gastrectomy.

    DOI: 10.1007/s11548-015-1293-z

    Web of Science

    Scopus

    PubMed

  688. Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer Reviewed

    Yuichiro Hayashi, Kazunari Misawa, David J. Hawkes, Kensaku Mori

    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY   Vol. 11 ( 5 ) page: 837 - 845   2016.5

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    Purpose A surgical navigation system supports the comprehension of anatomical information during surgery. Patient-to-image registration is the alignment process between CT volume and patient coordinate systems. Achieving accurate registration in the surgical navigation of laparoscopic surgery is very challenging due to soft tissue deformation. This paper presents a new patient-to-image registration method based on internal anatomical landmarks for improving registration accuracy in the surgical navigation of laparoscopic gastrectomy for gastric cancer.
    Methods Our proposed registration method progressively utilizes internal anatomical landmarks. In laparoscopic gastrectomy for gastric cancer, the surgeon cuts the blood vessels around the stomach. The positions of the cut vessels are sequentially used as fiducials for registration during surgery. The proposed method uses a weighted point-based registration method for computing the transformation matrix using the fiducials both on the body surface and on the blood vessels. When a blood vessel is cut during surgery, the proposed progressive registration method measures the cut vessel's position and computes a transformation matrix by adding the cut vessel as a fiducial.
    Results We applied our proposed progressive registration method using the positional information of the blood vessels acquired during laparoscopic gastrectomy in 20 cases. We evaluated it using target registration error in four blood vessels. The average target registration error in the four blood vessels was 12.6 mm and ranged from 2.1 to 32.9 mm.
    Conclusion Since the proposed progressive registration can reduce registration error, our proposed method is very useful for the surgical navigation of laparoscopic gastrectomy. Our proposed progressive registration method might increase the accuracy of surgical navigation in laparoscopic gastrectomy.

    DOI: 10.1007/s11548-015-1346-3

    Web of Science

    Scopus

    PubMed

  689. X線CTやMRIにおける3D画像

    森 健策

    メディカル&イメージング MOOK   Vol. 4   page: 57-64   2016.4

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  690. 多元計算解剖モデルの体系的開発 Sytematic Development of Multidisciplinary Computational Anatomy Models 腫瘍マルチスケール時空間モデリング

    森 健策

    第55回 日本生体医工学会大会プログラム・抄録集   Vol. 54 ( 1 ) page: 97   2016.4

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  691. Precise renal artery segmentation for estimation of renal vascular dominant regions

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2016   Vol. 9784   2016.3

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    DOI: 10.1117/12.2217492

  692. Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach

    Yoshihiko Nakamura, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2016   Vol. 9785   2016.3

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    DOI: 10.1117/12.2214925

  693. Position-based adjustment of landmark based correspondence finding in electromagnetic sensor-based colonoscope tracking method

    Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2016   Vol. 9786   2016.3

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    DOI: 10.1117/12.2216371

  694. Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes

    Hirohisa Oda, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2016   Vol. 9785   2016.3

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    DOI: 10.1117/12.2216663

  695. 腹部動脈の血管名自動対応付けにおける分岐パターンを考慮した機械学習の利用の検討

    張 暁楠, 加賀城 充, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会 2016年総合大会プログラム   Vol. D-16-11   page: 81   2016.3

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  696. 管腔構造に対する自動解剖名称アノテーション

    森 健策

    121回日本解剖学会総会・全国学術集会 講演プログラム・抄録集     page: 93   2016.3

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  697. 医療分野における3Dプリンタの応用

    森 健策

    宙舞   ( 78 ) page: 2-6   2016.2

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  698. エキスパートによるRSNA 2015ベストリポート : 3Dプリンタ,ユーザーインターフェイス等の動向を中心に

    森 健策

    インナービジョン 2016年2月号   Vol. 31 ( 2 ) page: 41-42   2016.2

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  699. 気管支構造情報を用いた気管支内腔壁面への気管支枝名自動表示の精度向上

    山本 貴洋, 北坂 孝幸, 二村 幸孝, 末永 康仁, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 13-18   2016.1

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  700. 条件付き確率場を利用した腹部動脈および肝門脈系の血管名自動対応付け

    加賀城 充, 二村 幸孝, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 19-24   2016.1

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  701. マルチスケール画像処理のためのマイクロCT画像データベース構築 多元計算解剖学における画像処理アルゴリズム開発のためのデータベース構築

    森 健策, 長柄 快, 小田 昌宏

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 165-170   2016.1

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  702. MICCAI2015参加報告

    花岡 昇平, 唐澤 健一. 本谷 秀堅. 周 向栄. 平野 靖, 小田 昌宏, 増谷 佳孝, 清水 昭伸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 177-182   2016.1

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  703. Dual-energy CT画像からの特徴抽出に基づく肝内胆管領域自動抽出

    陳 鵬飛, 田中 寛, 小田 昌宏, 林 雄一郎, 伊神 剛, 梛野 正人, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 187-192   2016.1

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  704. 解剖学的ランドマークに基づく自動臓器局所化とその膵臓セグメンテーションへの応用

    唐澤 健一, 小田 昌宏, 北坂 孝幸, 花岡 昇平, 林 雄一郎, 二村 幸孝, 三澤 一成, 藤原 道隆, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 215-220   2016.1

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  705. スケールシームレスナビゲーションのためのマルチスケールレジストレーション法の開発 マイクロCT像を用いた基礎的検討

    長柄 快, 中村 彰太, 小田 昌宏, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 351-356   2016.1

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  706. 腹腔鏡下手術ナビゲーションシステムにおける臓器表面形状を用いた術中の非剛体レジストレーションに関する検討

    森田 千尋, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 401 ) page: 357-362   2016.1

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  707. Accurate Airway Segmentation Based on Intensity Structure Analysis and Graph-cut

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Kensaku Mori

    MEDICAL IMAGING 2016: IMAGE PROCESSING   Vol. 9784   2016

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    This paper presents a novel airway segmentation method based on intensity structure analysis and graph-cut. Airway segmentation is an important step in analyzing chest CT volumes for computerized lung cancer detection, emphysema diagnosis, asthma diagnosis, and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3-D airway tree structure from a CT volume is quite challenging. Several researchers have proposed automated algorithms basically based on region growing and machine learning techniques. However these methods failed to detect the peripheral bronchi branches. They caused a large amount of leakage. This paper presents a novel approach that permits more accurate extraction of complex bronchial airway region. Our method are composed of three steps. First, the Hessian analysis is utilized for enhancing the line-like structure in CT volumes, then a multiscale cavity-enhancement filter is employed to detect the cavity-like structure from the previous enhanced result. In the second step, we utilize the support vector machine (SVM) to construct a classifier for removing the FP regions generated. Finally, the graph-cut algorithm is utilized to connect all of the candidate voxels to form an integrated airway tree. We applied this method to sixteen cases of 3D chest CT volumes. The results showed that the branch detection rate of this method can reach about 77.7% without leaking into the hng parenchyma areas.

    DOI: 10.1117/12.2216670

    Web of Science

    Scopus

  708. An Improved Robust Hand-Eye Calibration for Endoscopy Navigation System

    Wei He, Kumsok Kang, Yanfang Li, Weili Shi, Yu Miao, Fei He, Fei Yan, Huamin Yang, Huimao Zhang, Kensaku Mori, Zhengang Jiang

    MEDICAL IMAGING 2016: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING   Vol. 9786   2016

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    Endoscopy is widely used in clinical application, and surgical navigation system is an extremely important way to enhance the safety of endoscopy. The key to improve the accuracy of the navigation system is to solve the positional relationship between camera and tracking marker precisely. The problem can be solved by the hand eye calibration method based on dual quaternions. However, because of the tracking error and the limited motion of the endoscope, the sample motions may contain some incomplete motion samples. Those motions will cause the algorithm unstable and inaccurate. An advanced selection rule for sample motions is proposed in this paper to improve the stability and accuracy of the methods based on dual quaternion. By setting the motion filter to filter out the incomplete motion samples, finally, high precision and robust result is achieved. The experimental results show that the accuracy and stability of camera registration have been effectively improved by selecting sample motion data automatically.

    DOI: 10.1117/12.2216910

    Web of Science

    Scopus

  709. Surgical and Radiological Studies on the Length of the Hepatic Ducts Reviewed

    Tomoaki Hirose, Tsuyoshi Igami, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Kensaku Mori, Masahiko Ando, Masato Nagino

    World Journal of Surgery   Vol. 39 ( 12 )   2015.12

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    DOI: doi: 10.1007/s00268-015-3201-7

  710. Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning Reviewed

    Yukitaka Nimura, Jia Di Qu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Makoto Hashizume, Kazunari Misawa, and Kensaku Mori

    Journal of Medical Imaging   Vol. 2 ( 4 )   2015.12

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    DOI: 10.1117/1.JMI.2.4.044004

  711. New Tools for Analysis of Peripheral Lung Structures by Virtual Microscopy and Three Dimensional Printed out Scale up Tangible Model for Realization by Micro Focused CT Data of the Lung Specimen

    Hiroshi Natori, Hirotsugu Takabatake, Kensaku Mori, Masahiro Oda, Masaki Mori, Hirotoshi Homma, and Hiroyuki Koba

    RSNA 2015 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF     page: 278   2015.12

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  712. A Study on Improvement of Airway Segmentation using Hybrid Method

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, and Kensaku Mori

    The 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015)     page: 225-229   2015.11

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  713. 3次元画像を用いた開腹手術の手術ナビゲーションシステムにおける手術支援画像の提示法の検討

    林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 170-171   2015.11

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  714. 腹腔鏡手術ナビゲーションシステムのための軟性鏡カメラ方向測定装置の開発

    長柄 快, 柴田 睦実, 清水 南月, 小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 166-167   2015.11

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  715. 腹腔鏡下手術ナビゲーションにおける非剛体レジストレーションを利用した術中の位置合わせに関する検討

    森田 千尋, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 163-164   2015.11

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  716. 多元計算解剖学とコンピュータ外科-高度知能化治療支援に向けて-

    森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 156   2015.11

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  717. マイクロCT画像からの線維方向追跡に関する検討

    小田 紘久, 小田 昌宏, 北坂 孝幸, 秋田 利明, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 301 ) page: 9-14   2015.11

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  718. 条件付き確率場を用いた腹部動脈の血管名自動対応付け

    加賀城 充, 小田 昌宏, 林 雄一郎, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 202-203   2015.11

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  719. 超拡大内視鏡画像におけるテクスチャ情報を利用した自動病理診断に関する予備的検討

    二村 幸孝, 森 悠一, 三澤 将史, 工藤 進英, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 264-265   2015.11

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  720. 縦隔リンパ節検出のためのRadial Structure Tensor解析の改良に関する基礎的検討

    小田 紘久, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 256-257   2015.11

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  721. 磁気式位置センサを用いた大腸内視鏡トラッキング手法の精度解析

    小田 昌宏, 近藤 弘明, 北坂 孝幸, 古川 和宏, 宮原 良二, 廣岡 芳樹, 後藤 秀美, Nassir Navab, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 254-255   2015.11

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  722. 音声操作手術ナビゲーションシステムのための血管観察視点位置の自動決定法に関る検討

    林 雅大, 堂満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 252-253   2015.11

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  723. 深層学習を用いた3次元腹部CT像からのリンパ節検出における過検出削減に関する検討-学習データの人工生成が過検出削減に与える影響-

    寳珠山 裕, 二村 幸孝, 小田 昌宏, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 244-245   2015.11

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  724. 3次元腹部CT像からのリンパ節抽出における特徴量計算のための球状モデルの利用

    孟 晨, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 中村 嘉彦, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 242-243   2015.11

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  725. Graph-cutと血管追跡法を併用した腎動脈精密抽出手法における血管抽出性能評価

    王 成龍, 加賀城 充, 中村 嘉彦, 小田 昌宏, 吉野 能, 山本 徳則, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 208-209   2015.11

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  726. マルチスケール空洞強調フィルタと機械学習を用いた頑健性の高い気道抽出

    蒙 琪儿, 小田 紘久, 北坂 孝幸, 二村 幸孝, 小田 昌宏, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 206-207   2015.11

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  727. A Study on Improvement of Airway Segmentation using Hybrid Method

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Kensaku Mori

    The 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015)     page: 225-229   2015.11

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  728. 3次元画像を用いた開腹手術の手術ナビゲーションシステムにおける手術支援画像の提示法の検討

    林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 170-171   2015.11

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  729. 3次元腹部CT像からのリンパ節抽出における特徴量計算のための球状モデルの利用

    孟 晨, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 中村 嘉彦, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第24回日本コンピュータ外科学会大会特集号   Vol. 17 ( 3 ) page: 242-243   2015.11

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  730. Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer Reviewed

    Yuichiro Hayashi , Kazunari Misawa, Masahiro Oda, David J Hawkes, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery     2015.10

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    DOI: doi: 10.1007/s11548-015-1293-z

  731. Leap Motionによる外科手術ナビゲーションシステム操作の一提案

    佐藤 淳史, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    平成27年度日本生体医工学会東海支部大会プログラム・抄録集     page: 18   2015.10

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  732. Tracking Accuracy Evaluation of Electromagnetic Sensor-based Colonoscope Tracking Method

    Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

    Second International Workshop on Computer-Assisted and Robotic Endoscopy Held in Conjunction with MICCAI 2015   Vol. LNCS 9515   page: 101-108   2015.10

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  733. Supervoxel Classification Forests for Estimating Pairwise Image Correspondences Machine Learning in Medical Imaging

    Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, and Ben Glocker

    MICCAI 2015   Vol. LNCS 9352   page: 94-101   2015.10

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  734. Structure specific atlas generation and its application to pancreas segmentation from contrasted abdominal CT volumes

    Kenichi Karasawa, Masahiro Oda, Kensaku Mori, and Takayuki Kitasaka

    MICCAI 2015 Workshop on Medical Computer Vision     page: Algorithms for Big Data   2015.10

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  735. 特集/マルチモダリティ医用画像の統合解析: マルチモダリティ画像の融合―治療応用を目的とした CT/超音波/内視鏡画像融合―

    森 健策

    Medical Imaging Technology   Vol. 33 ( 4 ) page: 170-176   2015.9

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  736. `Observation-driven adaptive differential evolution and its application to accurate and smooth bronchoscope three-dimensional motion tracking Reviewed

    Xiongbiao Luo, Ying Wan, Xiangjian He, and Kensaku Mori

    Medical Image Analysis   Vol. 24(1)   page: 282-296   2015.8

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    DOI: doi:10.1016/j.media.2015.01.002

  737. 局所的濃度値情報を利用したCT像からの血管抽出手法の改善

    小田 昌宏, 加賀城 充, 山本 徳則, 吉野 能, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP34   2015.7

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  738. 臓器情報に基づくルールベースの後処理による腹部動脈に対する解剖学的名称の自動対応付け精度向上

    加賀城 充, 中村 嘉彦, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP31   2015.7

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  739. A preliminary study on false positive reduction of bronchus segmentation using SVM

    Qier Meng, Takayuki Kitasaka, Hirohisa Oda, Yukitaka Nimura, Yoshihiko Nakamura, Masahiro Oda, Kensaku Mori

        page: PP30   2015.7

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  740. 気管支構造情報を利用した気管支内腔壁面への気管支枝名表示の自動化手法の開発

    山本 貴洋, 北坂 孝幸, 二村 幸孝, 末永 康仁, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP29   2015.7

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  741. 腹腔鏡下手術ナビゲーションシステムにおける臓器と血管の情報に基づく位置合わせ手法の検討

    林 雄一郎, 森田 千尋, 三澤 一成, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP28   2015.7

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  742. 大腸病変の超拡大血管所見に対する自動診断システム

    三澤 将史, 工藤 進英, 森 悠一, 片岡 伸一, 中村 大樹, 工藤 豊樹, 林 武雅, 若村 邦彦, 宮地 英行, 片桐 敦, 石田 文生, 井上 晴洋, 二村 幸孝, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP21   2015.7

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  743. 球状モデルを用いた腹部CT像からのリンパ節自動検出手法の検討

    孟 晨, 小田 紘久, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 中村 嘉彦, 三澤 一成, 森 健策

    第34回日本医用画像工学会大会予稿集     page: PP19   2015.7

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  744. 3次元腹部造影CT像からの膵臓セグメンテーションにおける線状構造情報を用いた患者固有アトラス選択の有効性に関する検討

    唐澤 健一, 小田 昌宏, 林 雄一郎, 二村 幸孝, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP8-4   2015.7

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  745. マイクロCTと3Dプリンタを利用した肺微細構造拡大再現法に関する検討

    小田 昌宏, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP6-4   2015.7

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  746. SURF特徴量の照合による腹腔鏡手術映像へのタグ付け

    水谷 友一, 佐藤 梨果, 道満 恵介, 目加田 慶人, 三澤 一成, 森 建策

    第34回日本医用画像工学会大会予稿集     page: OP4-3   2015.7

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  747. 開腹手術映像における遮蔽物除去手法の高精度化

    北坂 孝幸, 池井 友啓, 林 祐斗, 八重嶋 秀, 澤野 弘明, 水野 慎士, 末永 康仁, 三澤 一成

    第34回日本医用画像工学会大会予稿集     page: OP4-2   2015.7

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  748. 深層学習を用いたCT像からのリンパ節検出における過検出削減に関する検討

    寳珠山 裕, 二村 幸孝, 小田 昌宏, 三澤 一成, 藤原 道隆, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP1-4   2015.7

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  749. 複数検出手法の統合による3次元腹部X線CT像からの腹部リンパ節検出手法の精度向上

    中村 嘉彦, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP1-3   2015.7

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  750. 大腸Endocytoscopyを用いた、自動診断システムの高精度化

    森 悠一, 工藤 進英, 若村 邦彦, 三澤 将史, 小川 悠史, 工藤 豊樹, 林 武雅, 宮地 英行, 片桐 敦, 石田 文生, 井上 晴洋, 二村 幸孝, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP1-1   2015.7

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  751. 開腹手術映像からの遮蔽物除去手法の基礎的検討

    北坂 孝幸, 池井 友啓, 林 祐斗, 八重嶋 秀, 澤野 弘明, 水野 慎士, 末永 康仁, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 139 ) page: 65-68   2015.7

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  752. `3Dプリンタ肝臓モデルを用いた手術支援の実際 ~ 手術野で使用するための工夫 ~

    田中 寛, 伊神 剛, 廣瀬 友昭, 中村 嘉彦, 江畑 智希, 横山 幸浩, 菅原 元, 水野 隆史, 小田 昌宏, 林 雄一郎, 二村 幸隆, 梛野 正人, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 139 ) page: 45-50   2015.7

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  753. マイクロCTと3Dプリンタによる肺微細構造拡大再現モデルの作成に関する検討

    小田 昌宏, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 139 ) page: 39-43   2015.7

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  754. コンピュータビジョンの進化と医用画像認識理解の進化 ~ パネルディスカッション ~

    本谷 秀堅, 増谷 佳孝, 佐藤 嘉伸, 清水 昭伸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 139 ) page: 27-32   2015.7

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  755. A Study on Improvement of Renal Artery Segmentation Using Hybrid Method

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

      Vol. 115 ( 139 ) page: 7-12   2015.7

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  756. シリーズ新潮流─The Next Step of Imaging Technology〈Vol.4〉3Dプリンタの医療応用最前線─利活用法から作製法まで─, 総論:3Dプリンタの医療応用の現状と展望

    森 健策

    ンナービジョン 2015年7月号   Vol. 30 ( 7 ) page: 40-44   2015.7

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  757. III Know How & Technique─3Dプリンタの技術と運用の実際 :1.臓器モデル作製のための基礎知識─プリンタ選び,臓器造形,後処理,利用法まで

    森 健策

    インナービジョン 2015年7月号   Vol. 30 ( 7 ) page: 64-71   2015.7

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  758. Radial Structure Tensor に基づく塊状構造強調フィルタの縦隔リンパ節検出への利用に関する検討

    小田 紘久, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 本間 裕敏, 高畠博嗣, 森 雅樹, 名取 博, 森 健策

    第18回画像の認識・理解シンポジウム(MIRU2015)     page: SS4-10   2015.7

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  759. A Study on Improvement of Renal Artery Segmentation Using Hybrid Method

    Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

      Vol. 115 ( 139 ) page: 7-12   2015.7

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  760. 3次元腹部造影CT像からの膵臓セグメンテーションにおける線状構造情報を用いた患者固有アトラス選択の有効性に関する検討

    唐澤 健一, 小田 昌宏, 林 雄一郎, 二村 幸孝, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    第34回日本医用画像工学会大会予稿集     page: OP8-4   2015.7

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  761. `3Dプリンタ肝臓モデルを用いた手術支援の実際 ~ 手術野で使用するための工夫 ~

    田中 寛, 伊神 剛, 廣瀬 友昭, 中村 嘉彦, 江畑 智希, 横山 幸浩, 菅原 元, 水野 隆史, 小田 昌宏, 林 雄一郎, 二村 幸隆, 梛野 正人, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 139 ) page: 45-50   2015.7

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  762. A preliminary study on false positive reduction of bronchus segmentation using SVM

    Qier Meng, Takayuki Kitasaka, Hirohisa Oda, Yukitaka Nimura, Yoshihiko Nakamura, Masahiro Oda, Kensaku Mori

        page: PP30   2015.7

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  763. JOEM リポート&インフォメーション 2015-1 光部品生産技術部会 3Dプリンタを利用した新たな治療診断支援 マクロ構造からミクロ構造まで

    森 健策

    光技術コンタクト   Vol. 53 ( 6 ) page: 55   2015.6

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  764. Size-by-size iterative segmentation method of blood vessels from CT volumes and its application method of blood vessels from CT volumes and its application to renal vasculature

    Masahiro Oda, Mituru Kagajo, Tokunori Yamamoto, Yasushi Yoshino, and Kensaku Mori,

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S208-S210   2015.6

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  765. Development of an automated method to print bronchial names on the virtual bronchial wall

    Takahiro Yamamoto, Takayuki Kitasaka, Yukitaka Nimura, Yasuhito Suenaga, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S24-S25   2015.6

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  766. Progressive internal landmark registration for image guided vessek camping in laparoscopic gastrectomy

    Yuichiro Hayashi, Kazunari Misawa, David Hawkes, and Kensaku Mori,

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S60-S61   2015.6

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  767. Intra-operative registration method using organ surface information for surgical navigation in laparoscopic gastrectomy

    Chihiro Morita, Yuichiro Hayashi, Oda Masahiro, David Hawkes, Kazunari Misawa, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S55-S56   2015.6

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  768. Development of an automated method to print bronchial names on the virtual bronchial wall

    Takahiro Yamamoto, Takayuki Kitasaka, Yukitaka Nimura, Yasuhito Suenaga, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S24-S25   2015.6

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  769. Intra-operative registration method using organ surface information for surgical navigation in laparoscopic gastrectomy

    Chihiro Morita, Yuichiro Hayashi, Oda Masahiro, David Hawkes, Kazunari Misawa, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S55-S56   2015.6

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  770. Progressive internal landmark registration for image guided vessek camping in laparoscopic gastrectomy

    Yuichiro Hayashi, Kazunari Misawa, David Hawkes, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S60-S61   2015.6

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  771. Size-by-size iterative segmentation method of blood vessels from CT volumes and its application method of blood vessels from CT volumes and its application to renal vasculature

    Masahiro Oda, Mituru Kagajo, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery 2015   Vol. 10 ( 1 ) page: S208-S210   2015.6

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  772. Discriminative Dictionary Learning for Abdominal Multi-Organ Segmentation Reviewed

    Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka, Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert

    Medical Image Analysis     2015.5

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    DOI: doi:10.1016/j.media.2015.04.015

  773. 多元計算解剖に基づいたコンピュータ診断・治療支援システム -研究計画と研究進捗-

    森 健策, 仁木 登

    第54回 日本生体医工学会大会 プログラム・抄録集   Vol. 53 ( 1 ) page: 144   2015.5

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  774. A study on bronchus segmentation based on machine learning method from chest CT Image

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Yoshihoko Nakamura, Masahiro Oda, Kensaku Mori

      Vol. 115 ( 25 ) page: 121-126   2015.5

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  775. 3D臓器モデルを操作デバイスとするインタラクションシステム構築に関する予備的検討

    細野 佑介, 中村嘉彦, 張 暁楠, 林 雄一郎, 小田 昌宏, 伊神 剛, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 25 ) page: 1-6   2015.5

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  776. A study on bronchus segmentation based on machine learning method from chest CT Image

    Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Yoshihoko Nakamura, Masahiro Oda, Kensaku Mori

      Vol. 115 ( 25 ) page: 121-126   2015.5

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  777. 3D臓器モデルを操作デバイスとするインタラクションシステム構築に関する予備的検討

    細野 佑介, 中村嘉彦, 張 暁楠, 林 雄一郎, 小田 昌宏, 伊神 剛, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 115 ( 25 ) page: 1-6   2015.5

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  778. 臓器情報を利用した血管名自動対応付け手法の検討

    加賀城 充, 中村 嘉彦, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    電子情報通信学会 2015年総合大会プログラム     page: 76   2015.3

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  779. 腹腔鏡下手術ナビゲーションにおける血管と臓器情報を用いた術中のレジストレーション手法に関する初期検討

    林 雄一郎, 森田 千尋, ホークス デイビット, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 321-325   2015.3

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  780. 反復抽出処理を用いた造影CT像からの血管抽出手法の開発

    小田 昌宏, 加賀城 充, 山本 徳則, 吉野 能, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 311-316   2015.3

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  781. X線暗視野法光学系を用いた屈折X線イメージングによる医用画像工学の創成と多元計算解剖学への展開

    安藤 正海, 湯浅 哲也, 砂口 尚輝, 森 健策, 鈴木 芳文, 市原 周, Rajiv Gupta

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 295-300   2015.3

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  782. 気管支内腔壁面への気管支枝名自動表示手法の開発

    山本 貴洋, 北坂 孝幸, 二村 幸孝, 末永 康仁, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 253-258   2015.3

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  783. 大腸ひだ検出処理に基づく大腸内視鏡ナビゲーションシステムに関する検討

    近藤 弘明, 小田 昌宏, 古川 和宏, 宮原 良二, 廣岡 芳樹, 後藤 秀美, 北坂 孝幸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 237-242   2015.3

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  784. SVMを利用した3次元腹部CT像からの胆管領域セグメンテーション手法の開発

    古閑 楠人, 林 雄一郎, 廣瀬 友昭, 小田 昌宏, 北坂 孝幸, 伊神 剛, 梛野 正人, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 227-232   2015.3

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  785. 術中音声操作に基づく手術ナビゲーションにおけるユーザインタフェースの改良

    林 雅大, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 482 ) page: 129-132   2015.3

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  786. Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes Reviewed

    Tetsuro Matsuzaki, Masahiro Oda, Takayuki Kitasaka, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    Medical Image Analysis   Vol. 20 ( 1 ) page: 152-161   2015.2

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  787. 特集 RSNA 2014 A Century of Transforming Medicine:15. 3Dプリンタ,ユーザーインターフェイスの動向を中心に

    森 健策

    インナービジョン 2015年2月号   Vol. 30 ( 2 ) page: 46-47   2015.2

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  788. マイクロCTを使用した三次元肺末梢構造の観察

    本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 小田 昌宏, 森 健策

    '第7回 呼吸機能イメージング研究会学術集会     page: 78   2015.2

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  789. Meclozine Promotes Longitudinal Skeletal Growth in Transgenic Mice with Achondroplasia Carrying a Gainof-Function Mutation in the FGFR3 Gene

    Masaki Matsushita, Satoru Hasegawa, Hiroshi Kitoh, Kensaku Mori, Bisei Ohkawara, Akihiro Yasoda, Akio Masuda, Naoki Ishiguro, Kinji Ohno

    Endocrinology   Vol. 156 ( 2 ) page: 548-554   2015.2

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  790. Connection method of separated luminal regions of intestine from CT volumes

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, and Kensaku Mori

    SPIE Medcal. Imaging 2015     page: accepted   2015.2

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  791. Automated branching pattern report generation for laparoscopic surgery assistance

    Masahiro Oda, Tetsuro Matsuzaki, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, and Kensaku Mori

    SPIE Medical Imaging 2015     page: accepted   2015.2

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  792. Investigation of Optimal Feature Value Set in False Positive Reduction Process for Automated Abdominal Lymph Node Detection Method

    Yoshihiko Nakamura, Yukitaka Nimura, Takayuki Kitasaka, Shinji Mizuno, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, Masaki Ito, Shigeru Nawano, and Kensaku Mori

    SPIE Medical Imaging 2015     page: accepted   2015.2

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  793. Pancreas segmentation from 3D abdominal CT images using patient-specific weighted-subspatial probabilistic atlases

    Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, and Kensaku Mori

    SPIE Medical Imaging 2015     page: accepted   2015.2

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  794. 医用画像処理と3Dプリンタによる臓器モデル生成と診断治療支援への応用

    森 健策

    電子情報通信学会 2015年総合大会プログラム     page: CS-4-8, p.65   2015.2

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  795. 3Dプリンティングの現状と将来展望:医用画像処理と3Dプリンタによる臓器実体モデル作成とその利用'

    森 健策

    光技術コンタクト   Vol. 53 ( 2 ) page: 20-27   2015.2

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  796. A Model-free Method for Annotating on Vascular Structure in Volume Rendered Images

    Wei He, Yanfang Li, Weili Shi, Yu Miao, Fei He, Fei Yan,, Huamin Yang, Huimao Zhang, Kensaku Mori, and Zhengang Jiang

    Proceedings of SPIE   Vol. 9415   page: 941528-1-8   2015.2

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  797. Development And Clinical Application of Surgical Navigation System for Laparoscopic Hepatectomy

    Yuichiro Hayashi, Tsuyoshi Igami, Tomoaki Hirose, Masato Nagino, and Kensaku Mori

    Proceedings of SPIE   Vol. 9715   page: 94151X-1-6   2015.2

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  798. Automated Torso Organ Segmentation from 3D CT Images using Structured Perceptron and Dual Decomposition

    Yukitaka Nimura, Yuichiro Hayashi, Kazunari Misawa, and Kensaku Mori

    Proceedings of SPIE   Vol. 9414   page: 94143L-1-6   2015.2

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  799. Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation Reviewed

    Xiongbiao Luo, Ying Wan, Xiangjian He, and Kensaku Mori

    Computer Methods and Programs in Biomedicine   Vol. 118 ( 2 )   2015.2

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    DOI: doi:10.1016/j.cmpb.2014.11.008

  800. Automated branching pattern report generation for laparoscopic surgery assistance

    Masahiro Oda, Tetsuro Matsuzaki, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    SPIE Medical Imaging 2015     page: accepted   2015.2

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  801. Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation Reviewed

    Xiongbiao Luo, Ying Wan, Xiangjian He, Kensaku Mori

    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE   Vol. 118 ( 2 ) page: 147 - 157   2015.2

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    Registration of pre-clinical images to physical space is indispensable for computer-assisted endoscopic interventions in operating rooms. Electromagnetically navigated endoscopic interventions are increasingly performed at current diagnoses and treatments. Such interventions use an electromagnetic tracker with a miniature sensor that is usually attached at an endoscope distal tip to real time track endoscope movements in a pre-clinical image space. Spatial alignment between the electromagnetic tracker (or sensor) and pre-clinical images must be performed to navigate the endoscope to target regions. This paper proposes an adaptive marker-free registration method that uses a multiple point selection strategy. This method seeks to address an assumption that the endoscope is operated along the centerline of an intraluminal organ which is easily violated during interventions. We introduce an adaptive strategy that generates multiple points in terms of sensor measurements and endoscope tip center calibration. From these generated points, we adaptively choose the optimal point, which is the closest to its assigned the centerline of the hollow organ, to perform registration. The experimental results demonstrate that our proposed adaptive strategy significantly reduced the target registration error from 5.32 to 2.59 mm in static phantoms validation, as well as from at least 7.58 mm to 4.71 mm in dynamic phantom validation compared to current available methods. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

    DOI: 10.1016/j.cmpb.2014.11.008

    Web of Science

    Scopus

    PubMed

  802. 3Dプリンティングの現状と将来展望:医用画像処理と3Dプリンタによる臓器実体モデル作成とその利用'

    森 健策

    光技術コンタクト   Vol. 53 ( 2 ) page: 20-27   2015.2

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  803. A Model-free Method for Annotating on Vascular Structure in Volume Rendered Images

    Wei He, Yanfang Li, Weili Shi, Yu Miao, Fei He, Fei Yan, Huamin Yang, Huimao Zhang, Kensaku Mori, Zhengang Jiang

    Proceedings of SPIE   Vol. 9415   page: 941528-1-8   2015.2

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  804. Automated Organ Segmentation from CT Images using Structure Output Learning

    Yukitaka Nimura, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    2015 Joint Conference of the International Workshop on Advanced Image Technology (IWAIT) and the International Forum on Medical Imaging in Asia (IFMIA)     page: PS.1, 616   2015.1

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  805. Pancreas segmentation from abdominal CT volumetric images using hierarchically-weighted probabilistic atlases

    Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

    2015 Joint Conference of the International Workshop on Advanced Image Technology (IWAIT) and the International Forum on Medical Imaging in Asia (IFMIA)     page: PS.1, 617   2015.1

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  806. A model-free method for annotating on vascular structure in volume rendered images Reviewed

    Wei He, Yanfang Li, Weili Shi, Yu Miao, Fei He, Fei Yan, Huamin Yang, Huimao Zhang, Kensaku Mori, Zhengang Jiang

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE   Vol. 9415   2015

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    The precise annotation of vessel is desired in computer-assisted systems to help surgeons identify each vessel branch. A method has been reported that annotates vessels on volume rendered images by rendering their names on them using a two-pass rendering process. In the reported method, however, cylinder surface models of the vessels should be generated for writing vessels names. In fact, vessels are not actual cylinders, so the surfaces of the vessels cannot be simulated by such models accurately. This paper presents a model-free method for annotating vessels on volume rendered images by rendering their names on them using the two-pass rendering process: surface rendering and volume rendering. In the surface rendering process, docking points of vessel names are estimated by using such properties as centerlines, running directions, and vessel regions which are obtained in preprocess. Then the vessel names are pasted on the vessel surfaces at the docking points. In the volume rendering process, volume image is rendered using a fast volume rendering algorithm with depth buffer of image rendered in the surface rendering process. Finally, those rendered images are blended into an image as a result. In order to confirm the proposed method, a visualizing system for the automated annotation of abdominal arteries is performed. The experimental results show that vessel names can be drawn on the corresponding vessel in the volume rendered images correctly. The proposed method has enormous potential to be adopted to annotate other organs which cannot be modeled using regular geometrical surface.

    DOI: 10.1117/12.2081610

    Web of Science

    Scopus

  807. A study on 3D liver model fabricated by 3D printer from X-ray CT images for assistance of liver cancer surgery Invited Reviewed

    NAKAMURA YOSHIHIKO, HAYASHI YUICHIRO, ODA MASAHIRO, HIROSE TOMOAKI, IGAMI TSUYOSHI, NAGINO MASATO, MORI KENSAKU

    Transactions of Japanese Society for Medical and Biological Engineering   Vol. 53   page: S205_02 - S205_02   2015

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    In liver cancer surgery, it is crucial to understand the internal structure of the liver, such as the position of tumors, blood vessels and their relationship. 3-dimensional rendering based on pre-operative CT volumes is one of methods for assisting a surgeon to understand such information. However, it is still not enough to achieve intuitive understanding. To solve such problems, this paper demonstrates a method to fabricate 3D liver model from patient-specific CT volumes. This model reconstructs internal structures of the liver to enable intuitive understanding of anatomical structure. Figure shows an example of the 3D liver model and a scene of 3D liver model utilization in OR.

    DOI: 10.11239/jsmbe.53.S205_02

  808. Application of a Three-dimensional Print of a Liver in Hepatectomy for Small Tumors Invisible by Intraoperative Ultrasonography: Preliminary Experience

    Tsuyoshi Igami, Yoshihiko Nakamura, Tomoaki Hirose, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Kensaku Mori, Masato Nagino

    World Journal of Surgery   Vol. 38 ( 12 ) page: 3163-3166   2014.12

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  809. 3D Printed Liver Models for Diagnostic and Surgical Assistance: How to Prepare Data, Print and Utilize?

    Kensaku Mori, Yoshihiko Nakamura, Yuichiro Hayashi, Masahiro Oda, Tsuyoshi Igami, Tomoaki Hirose

    RSNA 2014   Vol. INE025-b   page: 312   2014.12

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  810. Ⅲ計算解剖学応用システム開発:計画班からの報告 2.計算解剖モデルに基づく診断・治療の融合的支援'

    森 健策

    インナービジョン 2014年11月号   Vol. 29 ( 11 ) page: 22-25   2014.11

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  811. Ⅵ計算解剖学:ワーキンググループ(WG)からの報告ー国際シンポジウムの報告も含めて

    森 健策, 清水 昭伸, 増谷 佳孝, 佐藤 嘉伸

    インナービジョン 2014年11月号   Vol. 29 ( 11 ) page: 22-25   2014.11

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  812. MICCAI2014参加報告

    北坂 孝幸, 中込 啓太, 音丸 格, 小田 昌宏, 平野 靖, 増谷 佳孝, 金 亨燮

    電子情報通信学会技術研究報告(MI)   Vol. 114 ( 311 ) page: 49-54   2014.11

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  813. 臓器重心位置を利用した腹部動脈に対する解剖学的名称の自動対応付け精度の向上

    加賀城 充, 中村 嘉彦, 小田 昌宏, 林 雄一郎, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 173-174   2014.11

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  814. 局所濃淡構造解析を用いた 3 次元腹部 X 線 CT 像からの胃がん症例における胃周辺の小径腫大リンパ節自動検出手法の検討

    中村 嘉彦, 北坂 孝幸, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 310-311   2014.11

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  815. Radial Structure Tensor 解析に基づく 3 次元腹部 CT 像からの胆管領域自動抽出に関する予備的検討

    古閑 楠人, 林 雄一郎, 廣瀬 友昭, 小田 昌宏, 北坂 孝幸, 伊神 剛, 梛野 正人, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 292-293   2014.11

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  816. 腹部 CT 像からの自動リンパ節検出のためのカスケード型識別器を使用したリンパ節存在位置の制限に関する予備的検討

    二村 幸孝, 林 雄一郎, 北坂 孝幸, 古川 和宏, 三澤一成, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 290-291   2014.11

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  817. 磁気式位センサと3次元 CT 像を用いた大腸内視鏡トラッキングにおける特徴点対応付け条件に関する検討

    近藤 弘明, 小田 昌宏, 北坂 孝幸, 古川 和宏, 宮原 良二, 廣岡 芳樹, 後藤 秀実, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 250-251   2014.11

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  818. 腹腔鏡下胃切除術の術中ナビゲーションシステムにおける複数臓器情報を用いた局所レジストレーション手法の検討

    森田 千尋, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 248-249   2014.11

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  819. 腹腔鏡下胃切除術の手術ナビゲーションにおける血管の位置情報を用いた術中の位置合わせ手法の検討

    林 雄一郎, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第23回日本コンピュータ外科学会大会特集号   Vol. 16 ( 3 ) page: 178-179   2014.11

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  820. 腹腔鏡下肝切除術における磁気センサーを用いたリアルタイムナビゲーションシステムの開発

    伊神 剛, 林 雄一郎, 廣瀬 友昭, 江畑 智希, 横山 幸浩, 菅原 元, 水野 隆史, 山口 淳平, 深谷 昌秀, 上原 圭介, 板津 慶太, 森 健策, 挪野 正人

    日本内視鏡外科学会総会雑誌, 第27回日本内視鏡外科学会総会抄録集   Vol. 19 ( 410 ) page: 871   2014.10

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  821. A New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration

    Qier Meng,Takayuki Kitasaka, Yukitaka Nimura, Kensaku Mori

        page: 16   2014.10

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  822. 画像診断―イメージングアプローチ 腎細胞癌の下大動脈腫瘍塞栓血管3Dイメージング

    森 健策

    Nephrology Frontier 2014年9月号   Vol. 13 ( 3 ) page: 70(286)-74(290)   2014.9

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  823. Real-time bronchoscope three-dimensional motion estimation usingmultiple sensor-driven alignment of CT images and electromagneticmeasurements Reviewed

    Xiongbiao Luo, Kensaku Mori

    Computerized Medical Imaging and Graphics   Vol. 38 ( 6 ) page: 540-548   2014.9

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  824. New laparoscopic system for identify exact location of the primary tumor in the stomach using a glass fluorescent clip

    Shunko Albano Inada, Shingo Fuchi, Kensaku Mori, Junichi Hasegawa,Hayao Nakanishi, Kazunari Misawa

        page: P-2333, p.215   2014.9

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  825. Enhanced Differential Evolution to Combine Optical Mouse Sensor with Image Structural Patches for Robust Endoscopic Navigation

    Xiongbiao Luo, Uditha L. Jayarathne, A. Jonathan McLeod, and Kensaku Mori

    MICCAI 2014   Vol. Part II ( LNCS 8674 ) page: 340–348   2014.9

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  826. Geodesic Patch-based Segmentation

    Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, and Daniel Rueckert

    MICCAI 2014   Vol. Part I ( LNCS 8673 ) page: 666–673   2014.9

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  827. Automated method for reconstructing fragmented luminal regions of intestine

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, and Kensaku Mori

    Proceedings of MICCAI 2014 Workshop on Abdominal Imaging     page: ABDI-P3   2014.9

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  828. Application of a Three-dimensional Print of a Liver in Hepatectomy for Small Tumors Invisible by Intraoperative Ultrasonography: Preliminary Experience Reviewed

    Tsuyoshi Igami, Yoshihiko Nakamura, Tomoaki Hirose, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Kensaku Mori, Masato Nagino

    World Journal of Surgery     2014.8

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    DOI: DOI:10.1007/s00268-014-2740-7

  829. 時空間特徴照合による腹腔鏡手術映像へのタグ付け

    佐藤 健司, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP3-1   2014.7

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  830. 開腹手術映像における遮蔽物除去手法の基礎的検討

    北坂 孝幸, 石川 浩太. 山田 真弘. 木原 一輝. 澤野 弘明, 水野 慎士, 末永 康仁, 三澤 一成, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP3-8   2014.7

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  831. 逐次構造学習を利用した医用画像からの臓器抽出における学習パラメータに関する調査

    二村 幸孝, 林 雄一郎, 北坂 孝幸, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP5-1   2014.7

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  832. 個別尤度マップを用いた3次元腹部CT像からの膵臓領域セグメンテーション手法

    唐澤 健一, 林 雄一郎, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP5-5   2014.7

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  833. 仮想化内視鏡と磁気式位置センサによる腹腔鏡下手術ナビゲーションシステムの開発

    林 雄一郎, 伊神 剛, 廣瀬 友昭, 梛野 正人, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP6-1   2014.7

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  834. 3Dプリンタを用いた3次元実体肝臓モデルによる外科手術支援に関する予備的検討

    中村 嘉彦, 林 雄一郎, 廣瀬 友昭, 伊神 剛, 梛野 正人, 森 健策

    第33回日本医用画像工学会大会予稿集     page: PP28   2014.7

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  835. 腹腔鏡下胃切除術の術中ナビゲーションシステムにおける局所レジストレーション手法の開発

    森田 千尋, 林 雄一郎, 小田 昌宏, 三澤 一成, 森 健策

    第33回日本医用画像工学会大会予稿集     page: PP27   2014.7

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  836. 気管支枝名の気管支内腔壁面への印字手法の開発

    山本 貴洋, 北坂 孝幸, 二村 幸孝, 末永 康仁, 森 健策

    第33回日本医用画像工学会大会予稿集     page: PP24   2014.7

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  837. 大腸の変形を考慮した磁気式位置センサおよび3次元CT像を用いた大腸内視鏡トラッキング手法の精度向上

    近藤 弘明, 小田 昌宏, 古川 和宏, 宮原 良二, 廣岡 芳樹, 後藤 秀実, 北坂 孝幸, 森 健策

    第33回日本医用画像工学会大会予稿集     page: OP6-2   2014.7

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  838. A Discriminative Structural Similarity Measure and its Application to Video-Volume Registration for Endoscope Three-Dimensional Motion Tracking Reviewed

    Xiongbiao Luo, Kensaku Mori

    IEEE TRANSACTIONS ON MEDICAL IMAGING   Vol. 33 ( 6 ) page: 1248-1261   2014.6

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    DOI: 10.1109/TMI.2014.2307052

  839. 画像情報処理技術を活用した診断・治療支援~腹部のがん治療を助ける画像処理技術~

    森 健策

    電気評論 2014年6月号   Vol. 99 ( 6 ) page: 19-24   2014.6

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  840. Real-time bronchoscope three-dimensional motion estimation usingmultiple sensor-driven alignment of CT images and electromagneticmeasurements

    Xiongbiao Luo, Kensaku Mori

    Computerized Medical Imaging and Graphics   Vol. 38 ( 6 ) page: 540–548   2014.6

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    DOI: 10.1016/j.compmedimag.2014.06.013

  841. Development of marker-free estimation method of colonoscope tip position using electromagnetic sensors and CT volumes

    Hiroaki Kondo, Masahiro Oda, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Takayuki Kitasaka, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S11-S12   2014.6

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  842. Application of patient specific 3D liver model fabricated by 3D printer from CT volumes to aid liver cancer surgery

    Yoshihiko Nakamura, Yuichiro Hayashi, Tomoaki Hirose, Tsuyoshi Igami, asato Nagino, Kensaku Mori

      Vol. 114 ( 103 ) page: 43-46   2014.6

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  843. Development of laparoscope surgery navigation system activated by utterance of anatomical name based on automated anatomical name recognition of abdominal blood vessels

    Kensaku Mori, Masayasu Hirata, Tetsuro Matsuzaki, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Yuichiro Hayashi, Yoshito Mekada

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S353-S354   2014.6

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  844. Clinical application of 3D virtual navigation system to laparoscopic gastrectomy

    Yuichiro Hayashi, Kazunari Misawa, Masahiro Oda, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S311-S312   2014.6

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  845. False positive reduction based on SVM using intensity and texture information for automatic abdominal lymph node segmentation

    Yukitaka Nimura, Yoshihiko Nakamura, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukaw, Kazunari Misawa, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S227-S228   2014.6

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  846. A study on feature analysis in false positive reduction process of automated abdominal lymph node detection method

    Yoshihiko Nakamura, Takayuki Kitasaka, Shinji Mizuno, Kazuhiro Furukaw, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, Masaaki Ito, Shigeru Nawano, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S225-S227   2014.6

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  847. A method for automated detection of lymph nodes from contrasted chest CT images using modified radial structure tensor

    Takayuki Kitasaka, Masahiro Oda, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S224-S225   2014.6

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  848. An automated method for connecting separated luminal regions of intestine segmented from CT volumes

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2014)   Vol. 9 ( 1 ) page: S223-S224   2014.6

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  849. Robust Real-Time Bronchoscope Electromagnetic Tracking Using an Adaptive Hybrid Registration Approach without Fiducials

    Luo Xiongbiao, Mori Kensaku

    2014 IEEE International Symposium on Biomedical Imaging(ISBI2014)     page: 294-297   2014.4

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  850. 画像処理・表示技術,インターフェイス,3Dプリンタ等の動向を中心に -画像表示技術としての3Dプリンティングとユーザーインターフェイス

    森 健策

    インナービジョン 2014年2月号   Vol. 29 ( 2 ) page: 51-52   2014.2

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  851. Adaptive fiducial-free registration using multiple point selection for real-time electromagnetically navigated endoscopy

    Xiongbiao Luo and Kensaku Mori

    Proceedings of SPIE   Vol. 9036   page: 90360A-1-10   2014.2

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  852. Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

    Kusuto Koga, Yuichiro Hayashi, Tomoaki Hirose, Masahiro Oda, Takayuki Kitasaka, Tsuyoshi Igami, Masato Nagino, and Kensaku Mori

    Proceedings of SPIE   Vol. 9034   page: 903448-1-10   2014.2

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  853. Automated abdominal lymph node segmentation based on RST analysis and SVM

    Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Kazunari Misawa, and Kensaku Mori

    Proceedings of SPIE   Vol. 9035   page: 90352U-1-6   2014.2

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  854. Colonoscope navigation system using colonoscope tracking method based on line registration

    Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

    Proceedings of SPIE   Vol. 9036   page: 903626-1-7   2014.2

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  855. Robust endoscope motion estimation via an animated particle filter for electromagnetically navigated endoscopy

    Xiongbiao Luo, Kensaku Mori

    IEEE Transactions on Biomedical Engineering   Vol. 61 ( 1 ) page: 85-95   2014.1

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    DOI: 10.1109/TBME.2013.2277609

  856. 3Dプリンタによる臓器モデル作製─作製方法から診断応用法まで

    森 健策

    インナービジョン 2014年1月号   Vol. 29 ( 1 ) page: 71-73   2014.1

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  857. 分岐パターン解析による腹部動脈および肝門脈系に対する解剖学的名称の自動対応付け

    松崎 哲朗, 小田 昌宏, 北坂 孝幸, 林 雄一郎, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 19-24   2014.1

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  858. 3Dプリンタを用いた臓器造形とその応用に関する一考察

    森 健策, 小田 昌宏, 林 雄一郎, 二村 幸孝, 中村 嘉彦, 北坂 孝幸

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 181-186   2014.1

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  859. 小中高生向け講座「3Dプリンターで臓器モデルを作ろう!開催報告

    森 健策, 小田 昌宏, 二村 幸孝, 林 雄一郎

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 175-180   2014.1

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  860. 条件付き確率場による医用画像からの臓器抽出に関する予備的検討

    二村 幸孝, 林 雄一郎, 北坂 孝幸, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 155-160   2014.1

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  861. 気管支鏡ナビゲーションにおける複数センサを利用したマーカーフリーレジストレーション手法に関する予備的検討

    董 陽, 小田 紘久, 羅 雄彪, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 109-114   2014.1

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  862. 特徴選択手法を用いた3次元腹部X線CT像からのリンパ節自動検出手法の改良

    中村 嘉彦, 水野 慎士, 北坂 孝幸, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄野 繁, 森 健策

    電子情報通信学会技術研究報告(MI)   Vol. 113 ( 410 ) page: 85-90   2014.1

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  863. Externally Navigated bronchoscopy using 2-D motion sensors: Dynamic phantom validation Reviewed

    Xiongbiao Luo, Takayuki Kitasaka, Kensaku Mori

    IEEE Transactions on Medical Imaging   Vol. 32 ( 10 ) page: 1745-1764   2013.10

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    DOI: 10.1109/TMI.2013.2263152

  864. Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation Reviewed

    Robin Wolz, Chengwen Chu, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, and Daniel Rueckert

    IEEE Transactions on Medical Imaging   Vol. 32 ( 9 ) page: 1723-1730   2013.9

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    DOI: 10.1109/TMI.2013.2265805

  865. Assessment of COPD severity by combining pulmonary function tests and chest CT images Reviewed

    Yukitaka Nimura, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 8 ( 3 ) page: 353-363   2013.5

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    DOI: 10.1007/s11548-012-0798-y

  866. Automated Ulcer Detection Method From CT Images for Computer Aided Diagnosis of Crohn's Disease Reviewed

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

    IEICE Transactions on Information and Systems   Vol. E96-D ( 4 ) page: 808-818   2013.4

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    DOI: 10.1587/transinf.E96.D.808

  867. Anatomical annotation on vascular structure in volume rendered images Reviewed

    Zhengang Jiang, Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yasukazu Kajita, Toshihiko Wakabayashi, Kensaku Mori

    Computerized Medical Imaging and Graphics     page: CMIG-1167   2013.4

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    DOI: 10.1016/j.compmedimag.2013.03.001

  868. Hybrid electromagnetic and image-based tracking of endoscopes with guaranteed smooth output Reviewed

    Tobias Reichl, Xiongbiao Luo, Manuela Menzel, Hubert Hautmann, Kensaku Mori, Nassir Navab

    International Journal of Computer Assisted Radiology and Surgery     2013.3

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    DOI: 10.1007/s11548-013-0835-5

  869. 塊状構造強調処理の改良による3次元腹部X線CT像からのリンパ節自動検出手法の精度向上 Reviewed

    中村 嘉彦,北坂 孝幸,水野 慎士,古川 和宏,後藤 秀実,藤原 道隆,三澤 一成,伊藤 雅昭,縄野 繁,森 健策

      Vol. 31 ( 1 ) page: 62-71   2013.1

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  870. Contents-Rich Display for Medical Diagnostic and Surgical Aid

    Kensaku Mori

    Proceedings of The International Display Workshops   Vol. 19   page: 1561-1562   2012.12

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  871. 3D-Virtual Laparoscopic Image (3D-VLI)とナビゲーションシステムを応用した腹腔鏡下胃切除術

    三澤 一成, 伊藤 誠二, 伊藤 友一, 金城 和寿, 植村 則久, 木村 賢哉, 千田 嘉毅, 安部 哲也, 小森 康司, 金光 幸秀, 佐野 力, 清水 泰博, 林 雄一郎, 小田 昌宏, 森 健策

    第25回日本内視鏡外科学会総会抄録集     page: 238   2012.12

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  872. 内視鏡手術コンピュータ支援のための自動解剖構造認識理解

    森 健策

    第25回日本内視鏡外科学会総会抄録集     page: 305   2012.12

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  873. Extraction of Airways From CT (EXACT'09) Reviewed

    Pechin Lo, Bram van Ginneken, Joseph M. Reinhardt, Tarunashree Yavarna, Pim A. de Jong, Benjamin Irving, Catalin Fetita, Margarete Ortner, Rômulo Pinho, Jan Sijbers, Marco Feuerstein, Anna Fabijanska, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper H. Pedersen, and Marleen de Bruijne

    IEEE TRANSACTIONS ON MEDICAL IMAGING   Vol. 31 ( 11 ) page: 2093-2107   2012.11

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  874. Observation-Driven Adaptive Differential Evolution for Robust Bronchoscope 3-D Motion Tracking

    Xiongbiao Luo, Kensaku Mori

    The 11th Asian Conference on Computer Vision (ACCV2012)   ( LNCS 7726 ) page: 259-271   2012.11

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  875. CAD System for Mediastinal Lymph Node Diagnosis: Automated Segmentation and Visualization of Mediastinal Lymph Nodes from CT Images

    Kensaku Mori, Masahiro Oda, Yukitaka Nimura, Yoshihiko Nakamura, Takayuki Kitasaka, Shingo Iwano, Mitsuhiro Kishimoto, Masaki Mori, Hirotsugu Takabatake, Hirotoshi Homma, Hiroshi Natori

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2012   ( LL-INE1196 ) page: 338   2012.11

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  876. Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

    CAD System for Diagnosis of Stomach Cancer Metastasis Based on Automated Enlarged Lymph Node Detection

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2012   ( LL-INE1195 ) page: 338   2012.11

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  877. Automatic Naming System for Tracheobronchial Structures by Computational Anatomy

    Hirotoshi Homma, Masaki Mori, Hirotsugu Takabatake, Kensaku Mori, Yukitaka Nimura

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2012   ( LL-CHE2314 ) page: 273   2012.11

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  878. Endoscope 3-D Motion Tracking Using An Aggressive Particle Filtering for Boosting Electromagnetic Guidance Endoscopy

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    The 21st International Conference on Pattern Recognition (ICPR2012)   Vol. 1   page: 117-120   2012.11

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  879. 局所濃淡構造解析とグラフカットに基づく胸部CT 像からの気管支抽出に関する予備的検討

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 330-331   2012.11

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  880. 過検出削減処理の改良による三次元腹部X 線CT 像からのリンパ節自動検出手法の精度向上

    中村 嘉彦, 北坂 孝幸, 水野 慎士, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 218-219   2012.11

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  881. 手術ナビゲーションにおける術具の位置情報を利用した術前画像の術中更新に関する検討

    林 雄一郎, 藤井 正純, 梶田 泰一, 若林 俊彦, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 228-229   2012.11

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  882. 仮想胃展開像生成における切開線自動決定手法の評価

    水藤 倫彰, 林 雄一郎, 小田 昌宏, 北坂 孝幸, 飯沼 元, 三澤 一成, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 286-287   2012.11

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  883. 音声認識インタフェースを用いたナビゲーションシステム

    平田 正保, 目加田 慶人, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 296-297   2012.11

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  884. 映像間照合による腹腔鏡手術シーン検索に関する検討

    佐藤 健司, 目加田 慶人, 森 健策, 三澤 一成

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 300-301   2012.11

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  885. 腹腔鏡下手術ナビゲーションシステムの開発と臨床応用

    三澤 一成, 伊藤 誠二, 伊藤 友一, 金城 和寿, 植村 則久, 木村 賢哉, 千田嘉毅, 安部 哲也, 小森 康司, 金光 幸秀, 佐野 力, 清水 泰博, 林 雄一郎, 小田 昌宏, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 304-305   2012.11

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  886. 重みつき尤度マップを用いた三次元腹部CT 像からの複数臓器抽出手法に関する研究

    褚 成文, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 林 雄一郎, Robin Wolz, Daniel Rueckert, 森 健策

    日本コンピュータ外科学会誌 第21回日本コンピュータ外科学会大会特集号   Vol. 14 ( 3 ) page: 326-327   2012.11

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  887. Traceable Particle Swarm Optimization for Electromagnetically Navigated Bronchoscopy

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of MICCAI 2012 Workshop (AE-CAI)   ( LNCS 7815 ) page: 105-116   2012.10

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  888. Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases

    Robin Wolz, Chengwen Chu, Kazunari Misawa, Kensaku Mori, and Daniel Rueckert

    Proceedings of MICCAI 2012   Vol. Part I ( LNCS 7510 ) page: 10-17   2012.10

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  889. Method for detecting enlarged lymph nodes from 3D abdominal CT images with a multi-shape and multi-scale ellipsoidal structure detection filter

    Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

    Abdominal Imaging 2012, 4th International Workshop Held in Conjunction with MICCAI 2012   ( LNCS 7601 ) page: 238-245   2012.10

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  890. Automated detection of mediastinal lymph nodes for assistance of transbronchial needle aspiration

    Takayuki Kitasaka, Mitsuhiro Kishimoto, Masahiro Oda, Shingo Iwano, and Kensaku Mori

    Proceedings of MICCAI 2012 Workshop (AE-CAI)     page: 168-177   2012.10

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  891. 生体内探索 総論・工学的解説

    森 健策

    第31回日本医用画像工学会大会予稿集     page: SY1(シンポジウム)   2012.8

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  892. 3次元濃淡画像の局所変形を用いた手術支援画像生成に関する検討

    林 雄一郎, 梶田 泰一, 藤井 正純, 水野 正明, 若林 俊彦, 吉田 純, 森 健策

    第31回日本医用画像工学会大会予稿集     page: OP7-9   2012.8

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  893. 計算解剖による気管支の自動命名システムについて

    本間 裕敏, 高畠 博嗣, 森 雅樹, 森 健策, 名取 博

    第31回日本医用画像工学会大会予稿集     page: OP7-6   2012.8

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  894. 気管支枝のスケール推定とグラフカットに基づく胸部CT像からの気管支抽出

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第31回日本医用画像工学会大会予稿集     page: OP7-5   2012.8

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  895. A Study on Pancreas Segmentation Method from 3D Abdominal CT Images using Subject-specific Likelihood atlases

    Chengwen CHU, Masahiro ODA, Takayuki KITASAKA, Kazunari MISAWA, Michitaka FUJIWARA, Robin WOLZ, Daniel RUECKERT, Kensaku MORI

        page: OP2-8   2012.8

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  896. 胃内視鏡画像からの早期がん検出

    木村 翔太,長谷川 純一,森 健策,三澤 一成

    第31回日本医用画像工学会大会予稿集     page: OP2-5   2012.8

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  897. 塊状構造強調処理の改良による3次元腹部X線CT像からのリンパ節自動検出手法の精度向上

    中村 嘉彦, 北坂 孝幸, 水野 慎士, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄野 繁, 森健策

    第31回日本医用画像工学会大会予稿集     page: OP2-4   2012.8

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  898. 濃淡構造解析に基づく3次元腹部CT像からの肝血管腫領域の自動検出

    服部 恒平,北坂 孝幸,末永 康仁, 小田 昌宏, 森 健策

    第31回日本医用画像工学会大会予稿集     page: OP2-3   2012.8

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  899. 3次元腹部CT像から抽出された腹部静脈領域に対する血管名自動対応付け手法

    松﨑 哲朗, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森健策

    第31回日本医用画像工学会大会予稿集     page: OP2-2   2012.8

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  900. 3次元腹部CT像からの腸管潰瘍検出における過検出削減処理の検討

    小田 昌宏, 朝倉 詩穂, 古川 和宏, 北坂 孝幸, 渡辺 修, 安藤 貴文, 後藤 秀実, 森 健策

    第31回日本医用画像工学会大会予稿集     page: OP2-1   2012.8

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  901. 仮想化内視鏡による胃癌診断

    古川 和宏, 森 健策, 後藤 秀実

    第31回日本医用画像工学会大会予稿集     page: SY3(シンポジウム)   2012.8

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  902. Reconstruction of Structures in the Human Body

    Junichiro Toriwaki, Kensaku Mori

    Forma   Vol. 27 ( 1 ) page: S59-S65   2012.7

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  903. 多クラスAdaBoostを用いた腹部静脈領域に対する解剖学的名称自動対応付け手法

    松崎 哲朗, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI) MI2012-33   Vol. 112 ( 142 ) page: 65-70   2012.7

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  904. `Automated anatomical labeling of abdominal arteries extracted from CT images based on machine learning

    Kensaku Mori, Huy Hoang Bui, Tetsuro Matsuzaki, Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, and Kazunari Misawa

    International Journal of Computer Assisted Radiology and Surgery(CARS2012)   Vol. 7 ( 1 ) page: S46-S47   2012.6

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  905. A gastric lymph node detection method from 3D abdominal CT images using a multi-shape and multi-scale ellipsoidal structure detection filter

    Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2012)   Vol. 7 ( 1 ) page: S271-S272   2012.6

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  906. A method for automated detection of lymph nodes from two-phase 3D contrasted chest CT images

    Mitsuhiro Kishimoto, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2012)   Vol. 7 ( 1 ) page: S263-S265   2012.6

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  907. Toward fiducial-free registration procedures for endobronchial ultrasound bronchoscopic navigation

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2012)   Vol. 7 ( 1 ) page: S232-S234   2012.6

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  908. Virtual pneumoperitoneum based on mass-spring-damper models for pre-operative laparoscopic surgical planning

    Yukitaka Nimura, Jiadi Qu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2012)   Vol. 7 ( 1 ) page: S192-S193   2012.6

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  909. Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images Reviewed

    Bin Chen, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

      Vol. 7 ( 3 ) page: 465-482   2012.5

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  910. Real-time marker-free patient registration for electromagnetic navigated bronchoscopy : a phantom study Reviewed

    Daisuke Deguchi, Marco Feuerstein, Takayuki Kitasaka, Yasuhito Suenaga, Ichiro Ide, Hiroshi Murase, Kazuyoshi Imaizumi, Yoshinori Hasegawa, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 7 ( 3 ) page: 359-369   2012.5

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  911. Robust bronchoscope motion tracking using sequential Monte Carlo methods in navigated bronchoscopy: dynamic phantom and patient validation Reviewed

    Xiongbiao Luo, Marco Feuerstein, Takayuki Kitasaka, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 7 ( 3 ) page: 371-387   2012.5

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  912. 【特別講演】国際会議 MICCAI(Medical Image Computing and Computer Assisted Intervention)

    森 健策

    電子情報通信学会技術研究報告(MI) MI2012-16   Vol. 112 ( 38 ) page: 87-90   2012.5

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  913. 計算解剖モデルに基づく診断・治療の融合的支援

    森 健策

    第50巻特別号(第51回日本生体医工学会大会)プロブラム・抄録集     page: 97   2012.5

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  914. Development and comparison of new hybrid motion tracking for bronchoscopic navigation Reviewed

    Xiongbiao Luo, Marco Feuerstein, Daisuke Deguchi, Takayuki Kitasaka, Hirotsugu Takabatake, and Kensaku Mori

    Medical Image Analysis   Vol. 16 ( 3 ) page: 577–596   2012.4

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  915. Fusional-aid for Diagnosis and Surgery Based on Computational Anatomy Model-Toward New Era of Computer Assisted Surgery-

    Kensaku Mori

    GMSI-GSISH Winter School 2012     page: 13   2012.3

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  916. Automated incision line determination for virtual unfolded view generation of the stomach from 3D abdominal CT images

    Tomoaki Suito, Masahiro Oda, Takayuki Kitasaka, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, and Kensaku Mori

    Proceedings of SPIE   Vol. 8315   page: 83151M-1-7   2012.2

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  917. Automatic segmentation of solitary pulmonary nodules based on local intensity structure analysis and 3D neighborhood features in 3D chest CT images

    Bin Chen, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

    Proceedings of SPIE   Vol. 8315   page: 831538-1-8   2012.2

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  918. Lung lobe segmentation based on statistical atlas and graph cuts

    Yukitaka Nimura, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

    Proceedings of SPIE   Vol. 8315   page: 83153B-1-6   2012.2

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  919. Evaluation of deformation accuracy of a virtual pneumoperitoneum method based on clinical trials for patient-specific laparoscopic surgery simulator

    Masahiro Oda, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, and Kensaku Mori

    Proceedings of SPIE   Vol. 8316   page: 83160G-1-8   2012.2

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  920. A novel external bronchoscope tracking model beyond electromagnetic localizers: dynamic phantom validation

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of SPIE   Vol. 8316   page: 83163C-1-9   2012.2

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  921. Automated anatomical labeling method for abdominal arteries extracted from 3D abdominal CT images

    Masahiro Oda, Bui Huy Hoang, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori

    Proceedings of SPIE   Vol. 8314   page: 83142F-1-6   2012.2

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  922. 2時相3次元胸部CT像からのリンパ節自動抽出手法に関する検討

    岸本 充博, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 森 健策

    電子情報通信学会技術研究報告(MI) PRMU2011-237   Vol. 111 ( 430 ) page: 237-242   2012.2

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  923. Mediastinal atlas creation from 3-D chest computed tomography images: application to automated detection and station mapping of lymph nodes Reviewed

    Marco Feuerstein, Ben Glocker, Takayuki Kitasaka, Yoshihiko Nakamura, Shingo Iwano, and Kensaku Mori

    Medical Image Analysis   Vol. 16 ( 1 ) page: 63-74   2012.1

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  924. CT Enterography and Computer-aided Diagnosis--Potential Utility in the Assessment of Crohn's Disease

      Vol. 47 ( 1 ) page: 95-102   2012.1

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  925. 複数形状に対応した楕円体検出フィルタを用いた3次元腹部CT像からのリンパ節検出手法

    小田 昌宏, 北坂 孝幸, 藤原 道隆, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   ( MI2011-123 ) page: 251-256   2012.1

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  926. Newmark-β法による仮想気腹における変形処理に関する研究

    曲 家迪, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    電子情報通信学会技術研究報告(MI)   ( MI2011-90 ) page: 71-75   2012.1

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  927. 多クラスAdaBoostを用いた3次元腹部CT像における腹部血管領域への血管名自動命名手法に関する研究:血管名識別器における検討

    ブイフイ ホァン, 小田 昌宏, 二村 幸孝, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    電子情報通信学会技術研究報告(MI)   ( MI2011-148 ) page: 395-400   2012.1

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  928. 局所濃度値特徴と多クラス識別器を用いた腹部3次元CT像からの肝血管腫検出

    坂本 佳隆, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健策

    電子情報通信学会技術研究報告(MI)   ( MI2011-146 ) page: 383-388   2012.1

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  929. GastroVIS: A Visualization System for Generating Virtual Flattened Views of the Stomach from 3D Gastric CT Images

    Kensaku Mori, Tomoaki Suito, Masahiro Oda, Shigeru Nawano, Gen Iinuma, Kazunari Misawa, and Takayuki Kitasaka

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2011     page: LL-INE1179   2011.11

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  930. Bronchioloalveolar Structure of the Lung: 3-D Demonstration Using Micro CT Images of Inflated Fixed Lung Specimens

    Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Kensaku Mori, Hiroshi Natori, Yusuke Jin, and Takao Ebinuma

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2010     page: LL-CHE4628   2011.11

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  931. Vasculature CAD: A CAD for Understanding Individual Vasculature Based on Direct Drawing of Blood Vessel Names to Vasculature on Volume-rendered Image

    Yukitaka Nimura, Hoang Huy Bui, Takayuki Kitasaka, Kazunari Misawa, and Kensaku Mori

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2011     page: LL-INE1177   2011.11

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  932. CAD System for Crohns Disease with Automated Ulcer Detection

    Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Kensaku Mori, and Hidemi Goto

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2011     page: LL-INE1178   2011.11

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  933. 3次元CT像からの複数臓器抽出におけるAffinity Propagationを用いた臓器存在尤度アトラス構築に関する検討

    チョ 成文, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2011-73(2011-11)   page: 61-66   2011.11

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  934. 3次元腹部CT像における腹部血管への血管名自動命名手法に関する検討 〜多症例を用いた命名性能評価〜

    ブイフイ ホァン, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 178-179   2011.11

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  935. 3次元腹部CT像からの仮想胃展開像生成における噴門および幽門の位置情報を用いた切開線自動決定手法の開発

    水藤 倫彰, 小田 昌宏, 北坂 孝幸, 飯沼 元, 三澤 一成, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 180-181   2011.11

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  936. 局所濃淡構造解析に基づく楕円体検出フィルタによる腹部CT像からのリンパ節検出手法

    小田 昌宏, 北坂 孝幸, 藤原 道隆, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 182-183   2011.11

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  937. 磁気式トラッカーを使わない新たな内視鏡追跡デバイス

    羅 雄彪, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 254-255   2011.11

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  938. 固有空間法を用いた気管支鏡観察位置推定の精度向上に関する検討

    水津 美季, 陳 斌, 羅 雄彪, 小田 昌宏, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 268-269   2011.11

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  939. 人体組織の物理量を考慮した仮想気腹処理の変形精度に関する研究

    曲 家迪, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 274-275   2011.11

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  940. 超音波気管支鏡ナビゲーションにおけるCT − EMT座標系キャリブレーションのためのマーカーフリーレジストレーション手法の比較検討

    朱 琳, 羅 雄彪, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 282-283   2011.11

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  941. 3次元濃淡画像の局所変形による手術支援画像の生成に関する初期検討

    林 雄一郎, 梶田 泰一, 藤井 正純, 水野 正明, 若林 俊彦, 吉田 純, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 288-289   2011.11

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  942. 腹部3次元CT像からの複数臓器抽出における臓器存在尤度アトラス作成のためのAffinity Propagationを用いたクラスタリング手法の検討

    褚 成文, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 350-351   2011.11

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  943. 肺葉存在尤度アトラスを利用した3次元胸部CT像からの肺葉抽出

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 354-355   2011.11

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  944. 3次元胸部CT像から局所濃淡構造解析および周辺特徴に基づく肺結節自動検出手法に関する検討

    陳 斌, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 356-357   2011.11

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  945. 気管支鏡検査における穿刺位置決定支援のための局所濃淡構造解析を用いた胸部造影CT像からのリンパ節抽出

    岸本 充博, 陳 斌, 小田 昌宏, 北坂 孝幸, 岩野 信吾, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 358-359   2011.11

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  946. 局所濃度値特徴に基づく3次元腹部CT像からの肝血管腫の検出

    坂本 佳隆, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第20回日本コンピュータ外科学会大会特集号   Vol. 13 ( 3 ) page: 360-361   2011.11

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  947. Diagnosis of the invasion depth of gastric cancer using MDCT with virtual gastroscopy: comparison with staging with endoscopic ultrasound Reviewed

    Kazuhiro Furukawa, Ryoji Miyahara, Akihiro Itoh, Naoki Ohmiya, Yoshiki Hirooka, Kensaku Mori and Hidemi Goto

    American Journal of Roentgenology   Vol. 197 ( 4 ) page: 867-875   2011.10

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  948. 3次元胸部CT像群からの経時変化を考慮した多発性小肺結節対応付け手法 Reviewed

    陳斌,中村嘉彦,北坂孝幸,本間裕敏,高畠博嗣, 森 雅樹, 名取 博, 森 健策

      Vol. 29 ( 4 ) page: 191-199   2011.10

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  949. Marker-free Registration Method for CT-EMT Calibration in Endobronchial Ultrasound Endoscopic Navigation

    Lin Zhu, Xiongbiao Luo, Masahiro Oda, Takayuki, Kitasaka, Kensaku Mori

        page: 20   2011.10

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  950. 手術支援に向けた医用画像処理

    林 雄一郎, 森 健策

    日本生体医工学会誌 生体医工学   Vol. 49 ( 5 ) page: 637-640   2011.10

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  951. Virtualized human body navigation for assisting diagnosis, surgery and intervention

    Kensaku Mori

    The 1st International Conference on Radiological Science and Technology -3D WORLD in Radiological Science and Technology-     page: 13-14   2011.10

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  952. コンピューターによる画像認識理解技術を利用した診断と治療の支援

    森 健策

    第16回静岡健康・長寿学術フォーラム記録集     page: 88-89   2011.10

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  953. 画像処理に基づく診断手術支援

    森 健策

    第12回耳鼻咽喉科手術支援システム・ナビ研究会, 耳鼻咽喉科展望   Vol. 54 ( 5 ) page: 73-78   2011.10

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  954. 腹部3 次元CT 像からの複数臓器抽出における臓器存在尤度アトラス作成のためのクラスタリングに関する検討

    チョ 成文, 中岡 輝久, 小田 昌宏, 北坂幸, 古川 和宏, 三澤 一成, 藤原 道隆, 森 健策

    平成23年度電気関係学会 東海支部連合大会     page: A4-6   2011.9

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  955. 特徴量解析の改良による3 次元腹部X 線CT 像からのリンパ節自動検出手法の精度向上

    中村 嘉彦, 古川 和宏,後藤 秀実,藤原 道隆,森 健策, 北坂 孝幸,水野 慎士, 三澤 一成, 伊藤 雅昭, 縄野 繁

    平成23年度電気関係学会 東海支部連合大会     page: A4-8   2011.9

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  956. Anatomical Name Annotation on Blood Vessels Rendered by Volume Rendering and Its Application to Virtual Laparoscopy

    Kensaku Mori, Zhengang Jiang, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, and Michitaka Fujiwara

    Proceedings of MICCAI 2011 Workshop: Augmented Environments for Computer Assisted Interventions     page: DOI   2011.9

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  957. Bronchoscopy Navigation Beyond Electromagnetic Tracking Systems: A Novel Bronchoscope Tracking Prototype

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)   Vol. LNCS 6891   page: 194-202   2011.9

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  958. ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)   Vol. LNCS 6893   page: 248-255   2011.9

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  959. Deformable Registration of Bronchoscopic Video Sequences to CT Volumes with Guaranteed Smooth Output

    Tobias Reichl, Xiongbiao Luo, Manuela Menzel, Hubert Hautmann, Kensaku Mori, and Nassir Navab

    14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)   Vol. LNCS 6891   page: 17-24   2011.9

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  960. Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut

    Masahiro Oda, Teruhisa Nakaoka, Takayuki Kitasaka, Kazuhiro Furukawa, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori

    Proceedings of MICCAI 2011 Workshop: Computational and Clinical Applications in Abdominal Imaging   Vol. LNCS 7029   page: 181-188   2011.9

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  961. On Robust Point Correspondence and Augmented Condensation Algorithm for Bronchoscope Tracking During Navigation Reviewed

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

        page: OP8-5   2011.8

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  962. 統計アトラスとグラフカットに基づく3 次元胸部CT像からの肺葉抽出

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP1-4   2011.8

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  963. 3次元腹部CT像における多クラスAdaBoostを用いた腹部血管領域への血管名自動対応付け手法

    Bui Huy Hoang, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP1-12   2011.8

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  964. 3次元胸部CT像群からの経時変化を考慮した多発性小肺結節対応付け手法

    陳 斌, 中村 嘉彦, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP5-3   2011.8

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  965. マイクロCTをもちいた三次元的肺末梢構造の観察

    本間 裕敏, 神 裕介, 海老沼 孝郎, 高畠 博嗣, 森 雅樹, 森 健策, 名取 博

    第30回日本医用画像工学会大会予稿集     page: OP5-8   2011.8

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  966. 局所濃淡構造解析を用いた3次元胸部CT像からのリンパ節抽出

    岸本 充博, 陳 斌, 北坂 孝幸, 岩野 信吾, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP5-9   2011.8

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  967. 濃度値と局所濃淡構造解析を用いた3次元腹部CT像からの転移性肝臓がん検出

    坂本 佳隆, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP6-2   2011.8

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  968. アクティブ探索を用いた転移性肝腫瘍検出

    紅林 達也, 北坂 孝幸, 末永 康仁, 小田 昌宏, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP6-3   2011.8

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  969. 3次元腹部CT像からの仮想胃展開像生成における切開線自動決定手法の開発

    水藤 倫彰, 小田 昌宏, 北坂 孝幸, 飯沼 元, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP8-1   2011.8

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  970. 腹腔鏡手術支援のための3次元CT像からの腹壁領域抽出に関する研究

    曲 家迪, 二村 幸孝, 陳 斌, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP8-2   2011.8

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  971. 固有空間法を用いた気管支鏡観察位置推定

    水津 美季, 陳 斌, 羅 雄彪, 小田 昌宏, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第30回日本医用画像工学会大会予稿集     page: OP8-4   2011.8

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  972. 3次元腹部CT像を用いたクローン病診断支援における潰瘍検出手法の開発

    小田 昌宏, 古川 和宏, 北坂 孝幸, 渡辺 修, 安藤 貴文, 後藤 秀実, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2011-37   page: 25-30   2011.7

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  973. 画像認識理解技術と内視鏡の融合ー仮想化気管支鏡を中心として

    森 健策

    第26回日本肺癌学会ワークショップ(日本肺癌学会)     page: 21-22   2011.7

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  974. Crohn's disease CAD sysytem with automated ulcer detection Reviewed

    Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

    3rd CADdemo@CARS Demonstration Workshop on Computer-Aided Detection and Diagnosis     page: 7-8   2011.6

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  975. Detection of ulcers based on roughness value from fecal tagging CT image Reviewed

    Masahiro Oda, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S200-S202   2011.6

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  976. SVD-SCF-RANSAC: an improved correspondence approach for scale invariant feature and its application to bronchoscope tracking during bronchoscopic navigation Reviewed

    Xiongbiao Luo, Kensaku Mori, and Takayuki Kitasaka

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S164-S165   2011.6

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  977. Endobronchial ultrasound endoscope navigation system based on CT-US calibration Reviewed

    Kensaku Mori, Tatsuya Kugo, Xiongbiao Luo, Takayuki Kitasaka, Philipp Dressel, Tobias Reichl, Marco Feuerstein, and Nassir Navab

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S166-S167   2011.6

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  978. Development of simulation system for endoscopic robotic neurosurgery based on virtual endoscopy Reviewed

    Yuichiro Hayashi, Yasukazu Kajita, Masazumi Fujii, Masaaki Mizuno, Toshihiko Wakabayashi, Kensaku Mori, and Jun Yoshida

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S242-S243   2011.6

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  979. Segmentation of lung metastasis on thoracic CT images based on local intensity structure analysis and pulmonary blood vessel information Reviewed

    Bin Chen, Kensaku Mori, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S371-S372   2011.6

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  980. Colon registration method using haustral features of colon from 3D abdominal CT images Reviewed

    Eiichiro Fukano, Masahiro Oda, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano, and Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery   Vol. 6 ( 1 ) page: S358-S359   2011.6

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  981. 画像情報統合に基づく超音波気管支鏡ナビゲーションシステム

    久郷達也, 北坂 孝幸,羅 雄彪,Dressel Philipp, Tobias Reichl, Marco Feuerstein,Nassir Navab, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2011-2   page: 7-12   2011.5

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  982. 腹腔鏡手術支援のための仮想気腹に関する実験的検討

    曲 家適, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    第49巻特別号(第50回日本生体医工学会大会)プロブラム・抄録集     page: 92   2011.4

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  983. 術中MRIの現在と未来(<特集>21世紀のOperation Suite)

    藤井 正純, 前澤 聡, 林 雄一郎, 中原 紀元, 森 健策, 吉田 純, 若林 俊彦

    脳神経外科ジャーナル(Japanese Journal of Neurosurgery)   Vol. 20 ( 4 ) page: 259-269   2011.4

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  984. 3次元画像情報を利用した医用画像診断支援

    森 健策

    映像情報メディア学会誌   Vol. 54 ( 4 ) page: 448-452   2011.4

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  985. Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease Reviewed

    Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

    Proceedings of SPIE   ( 7963 ) page: 79631E-1-8   2011.2

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  986. A CAD system for automatic detection and identifi cation of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration Reviewed

    Bin Chen, Hideto Naito, Yoshihiko Nakamura, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Daniel Rueckert, and Kensaku Mori

    Proceedings of SPIE   ( 7963 ) page: 79630B-1-10   2011.2

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  987. A study on quantifying COPD severity by combining pulmonary function tests and CT image analysis Reviewed

    Yukitaka Nimura, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

    Proceedings of SPIE   ( 7963 ) page: 796330-1-9   2011.2

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  988. On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking Reviewed

    Xiangbiao Luo, Marco Feuerstein, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of SPIE   ( 7964 ) page: 79640Q-1-10   2011.2

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  989. A novel bronchoscope tracking method for bronchoscopic navigation using a low cost optical mouse sensor Reviewed

    Xiangbiao Luo, Marco Feuerstein, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of SPIE   ( 7964 ) page: 79641T-1-10   2011.2

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  990. A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images Reviewed

    Huy Hoang Bui, Masahiro Oda, Zhengang Jiang, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori

    Proceedings of SPIE   ( 7962 ) page: 79623R-1-9   2011.2

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  991. Development of laparoscopic surgery planning system and its evaluation based on surgery Reviewed

    Masahiro Oda, Masakazu Kito, Takayuki Kitasaka,Chie Tanaka, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori

    Proceedings of International Forum on Medical Imaging in Asia   Vol. O6-4   page: 119-122   2011.1

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  992. 複数の検出手法の統合による3次元腹部X線CT像からのリンパ節自動検出に関する検討

    中村 嘉彦, 北坂 孝幸,水野 慎士,古川 和宏,後藤 秀実,藤原 道隆,三澤 一成,伊藤 雅昭,縄野 繁,森 健策

    電子情報通信学会技術研究報告   Vol. MI2010-109   page: 147-152   2011.1

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  993. 臓器存在尤度アトラスとグラフカットを用いた腹部3次元CT像からの臓器領域抽出

    中岡 輝久, 小田 昌宏,北坂 孝幸,古川 和宏,三澤 一成,藤原 道隆,森 健策

    電子情報通信学会技術研究報告   Vol. MI2010-123   page: 223-228   2011.1

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  994. 色情報を用いた部分空間法による腹腔鏡手術シーン分類の検討

    茅野 貴洋, 目加田 慶人, 森 健策, 三澤 一成

    電子情報通信学会技術研究報告   Vol. MI2010-81   page: 1-4   2011.1

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  995. Detection of metastatic liver tumors from 3D CT images based on intensity values and local intensity structure analysis Reviewed

    Yoshitaka Sakamoto, Masahiro Oda, Takayuki Kitasaka, Nawano Shigeru, and Kensaku Mori

    Proceedings of International Forum on Medical Imaging in Asia   Vol. O5-4   page: 105-110   2011.1

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  996. 肺内バーチャルナビゲーション-画像診断から気管支鏡検査まで

    森 健策

    呼吸生理フォーラム (肺機能セミナー講演会)     page: DOI   2011.1

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  997. Deformable Registration of Bronchoscopic Video Sequences to CT Volumes with Guaranteed Smooth Output Reviewed

    Tobias Reichl, Xiongbiao Luo, Manuela Menzel, Hubert Hautmann, Kensaku Mori, and Nassir Navab

    Lecture Notes in Computer Science (LNCS)     page: DOI   2011

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  998. ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy Reviewed

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    Lecture Notes in Computer Science (LNCS)     page: DOI   2011

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  999. Bronchoscopy Navigation Beyond Electromagnetic Tracking Systems: A Novel Bronchoscope Tracking Prototype Reviewed

    Xiongbiao Luo, Takayuki Kitasaka, and Kensaku Mori

    Lecture Notes in Computer Science (LNCS)     page: DOI   2011

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  1000. 内視鏡型ロボット手術のシュミレーションシステムの初期検討

    林 雄一郎, 梶田 泰一, 藤井 正純, 水野 正明, 吉田 純, 若林 俊彦, 森 健策

    第5回 Open MRI研究会プログラム・抄録集     page: 8   2010.12

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  1001. 機能的脳神経外科手術におけるオープンMRIの有用性

    梶田 泰一, 林 雄一郎, 森 健策, 吉田 康太, 前澤 聡, 若林 俊彦

    第5回 Open MRI研究会プログラム・抄録集     page: 15   2010.12

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  1002. 〔企画特集号〕「21世紀の診断と治療に関わる画像技術、次の10年の進歩は?」手術支援について

    森 健策

    医用画像情報学会雑誌   Vol. 27 ( 4 ) page: 90-94   2010.11

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  1003. MICCAI 2010参加報告

    清水 昭伸, 北坂 孝幸, 増谷 佳孝, 中野 雄太, 小田 昌宏, 本谷 秀堅, 根本 充貴, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2010-805   page: 77-82   2010.11

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  1004. Modified Hybrid Bronchoscope Tracking Based on Sequential Monte Carlo Sampler: Dynamic Phantom Validation Reviewed

    Xiongbiao Luo, Tobias Reichl, Marco Feuerstein, Takayuki Kitasaka, and Kensaku Mori

    ACCV2010, The Tenth Asian Conference on Computer Vision Proceedings   Vol. 3 ( LNCS 6494 ) page: 1722-1733   2010.11

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  1005. Three-dimensional Demonstration of Peripheral Lung Structures Using Micro CT Images of Inflated Fixed Lung Specimens Reviewed

    Hirotoshi Honma, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, Yusuke Jin, and Takao Ebinuma

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2010     page: 472   2010.11

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  1006. 部分空間法による腹腔鏡手術シーン分類の検討

    茅野 貴洋, 目加田 慶人, 森 健策, 三澤 一成

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 452-453   2010.11

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  1007. 非剛体レジストレーションを用いた三次元胸部CT像からの小結節経過診断および治療支援

    陳 斌, 中村 嘉彦, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 450-451   2010.11

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  1008. ボリュームレンダリング画像におけるテキスト情報の表示方法とその手術支援画像生成の応用

    蒋 振剛, 二村 幸孝, 北坂 孝幸, 三澤 一成, 藤原 道隆, 梶田 泰一, 若林 俊彦, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 436-437   2010.11

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  1009. 超音波気管支鏡ナビゲーションシステム開発に関する検討

    久郷 達也, Philipp Dressel, Tobias Reichl, Marco Feuerstein, 北坂 孝幸, Nassir Navab, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 428-429   2010.11

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  1010. スケール不変特徴量の組み合わせを修正するための気管支鏡位置追跡手法の改善

    羅 雄彪, 北坂 孝幸, 高畠 博嗣, 長谷川 好規, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 422-423   2010.11

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  1011. 三次元腹部CT像からの転移性肝臓がん検出

    坂本 佳隆, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 414-415   2010.11

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  1012. 三次元腹部CT像における下腹部血管への血管名自動命名に関する研究

    ブイ フイ ホァン, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 412-413   2010.11

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  1013. 腹腔鏡下手術における術中ナビゲーションシステムの開発と臨床応用

    三澤 一成, 伊藤 誠二, 伊藤 友一, 金光 幸秀, 小森 康司, 千田 嘉毅, 佐野 力, 清水 泰博, 林 雄一郎, 蒋 振剛, 小田 昌宏, 森 健策, 藤原 道隆, 小寺 泰弘, 中尾 昭公

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 314-315   2010.11

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  1014. バーチャルエンドスコピーによる内視鏡型ロボット手術のシミュレーションシステムの開発

    林 雄一郎, 梶田 泰一, 藤井 正純, 水野 正明, 古田 純, 若林 俊彦, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 290-291   2010.11

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  1015. 三次元胸部X線CT像からのリンパ節検出手法の開発

    中村 嘉彦, 北坂 孝幸, 水野 慎士, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄野 繁, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 284-285   2010.11

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  1016. 胸部画像アトラス生成のための胸部CT像の平均画像生成に関する基礎的検討

    岸本 充博, 小田 昌宏, フォイヤーシュタインマルコ, 羅 雄彪, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集   Vol. 12 ( 3 ) page: 282-283   2010.11

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  1017. 内視鏡手術支援のための腹部血管抽出に関する予備的検討

    二村 幸孝, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 254-255   2010.11

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  1018. 計算機診断および手術支援におけるCT像からの腸壁面の粗さを用いたクローン病による潰瘍検出手法

    小田 昌宏, 古川 和宏, 北坂 孝幸, 渡辺 修, 安藤 貴文, 後藤 秀実, 森 健策

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 252-253   2010.11

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  1019. 所濃淡構造解析と多クラス分類器によるCT像からの転移性肝腫瘍の検出

    中岡 輝久, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 250-251   2010.11

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  1020. 機能的脳神経外科手術を支援する新しい画像解析技術の開発と臨床応用

    梶田 泰一, 林 雄一郎, 森 健策, 古田 康太, 前澤 聡, 若林 俊彦

    日本コンピュータ外科学会誌 第19回日本コンピュータ外科学会大会特集号   Vol. 12 ( 3 ) page: 184-185   2010.11

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  1021. Mediastinal Lymph-CAD: A CAD System for Assisting Mediastinal Lymph Nodes Diagnosis Based on Automated Lymph Node Detection from Chest CT Volumes Reviewed

    Kensaku Mori, Marco Feuerstein, Takayuki Kitasaka, Shingo Iwano, Yoshinori Hasegawa, and Yasuhito Suenaga

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2010     page: 554   2010.11

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  1022. CAD system for inflammatory bowel disease using CT images with automated lesion detection and virtual unfolded views Reviewed

    Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Kensaku Mori, and Hidemi Goto

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2010     page: 548   2010.11

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  1023. Emphysema CAD: A CAD System for Real-Time Quantifying Emphysema Severity Based on Integration of the CT Scans and Spirometry Reviewed

    Yukitaka Nimura, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2010     page: 551   2010.11

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  1024. 3次元CT像における仮想気腹処理の精度評価

    曲 家適, 蒋 振剛, 二村 幸孝, 小田 昌宏, 北坂 孝幸, 三澤 一成, 森 健策

    平成22年度日本生体医工学会東海支部大会     page: 46   2010.10

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  1025. ひだと特徴点を用いた三次元腹部CT 像の大腸領域における位置合わせ手法の開発

    深野 瑛一郎,小田 昌宏,北坂 孝幸,末永 康仁,高山 哲治,高畠 博嗣,森 雅樹,名取 博,縄野 繁,森 健策

    平成22年度日本生体医工学会東海支部大会     page: 47   2010.10

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  1026. 画像処理に基づく診断手術支援

    森 健策

    第12回 耳鼻咽喉科手術支援システム・ナビ研究会 プログラム・抄録集     page: 11   2010.10

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  1027. 類似画像検索に基づく3次元腹部CT 像からの転移性肝腫瘍検出に関する基礎的検討

    紅林 達也,北坂 孝幸,末永 康仁,小田 昌宏,森 健策

    平成22年度日本生体医工学会東海支部大会     page: 48   2010.10

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  1028. Bronchial region extraction from 3D chest CT image by voxel classification based on local intensity structure

    Takayuki Kitasaka, Hiroaki Yano, Marco Feuerstein, Kensaku Mori

    Third International Workshop on Pulmonary Image Analysis(MICCAI2010 Pulmonary Workshop)     page: 22-29   2010.9

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  1029. 多クラスAdaBoostを用いた3次元腹部CT像における下腹部血管領域への血管名自動対応付けに関する研究

    Bui Huy Hoang, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2010-65   page: 81-86   2010.9

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  1030. Synchronized Display of Virtual Colonoscopic Views in Supine and Prone CT Images

    Masahiro Oda, Eiichiro Fukano, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano, Kensaku Mori

    Proceedings of MICCAI 2010 Workshop: Virtual Colonoscopy & Abdominal Imaging     page: 161-168   2010.9

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  1031. Direct Co-calibration of Endobronchial Ultrasound and Video

    Philipp Dressel, Marco Feuerstein, Tobias Reichl, Takayuki Kitasaka, Nassir Navab, Kensaku Mori

    5th International Workshop on Medical Imaging and Augmented Reality(MIAR 2010)     page: 513-520   2010.9

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  1032. Automated Nomenclature of Upper Abdominal Arteries for Displaying Anatomical Names on Virtual Laparoscopic Images

    Kensaku Mori, Masahiro Oda, Tomohiko Egusa, Zhengang Jiang, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa

    5th International Workshop on Medical Imaging and Augmented Reality(MIAR 2010)     page: 353-362   2010.9

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  1033. Marker-Free Registration for Electromagnetic Navigation Bronchoscopy under Respiratory Motion

    Marco Feuerstein, Takamasa Sugiura, Daisuke Deguchi, Tobias Reichl, Takayuki Kitasaka, Kensaku Mori

    5th International Workshop on Medical Imaging and Augmented Reality(MIAR 2010)     page: 237-246   2010.9

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  1034. An Application Driven Comparison of Several Feature Extraction Algorithms in Bronchoscope Tracking During Navigated Bronchoscopy

    Xiongbiao Luo, Marco Feuerstein, Tobias Reichl, Takayuki Kitasaka, Kensaku Mori

    5th International Workshop on Medical Imaging and Augmented Reality(MIAR 2010)     page: 475-484   2010.9

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  1035. 3次元腹部X線CT像からのリンパ節自動検出

    中村 嘉彦, 北坂 孝幸, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄 野繁, 森 健策

    生体医工学シンポジウム2010講演予稿集     page: 1-6-6   2010.9

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  1036. 3次元腹部CT像からの類似画像検索に基づく転移性肝腫瘍検出に関する基礎的検討

    紅林 達也,北坂 孝幸,末永 康仁,小田 昌宏,森 健策

    平成22年度電気関係学会東海支部連合大会プログラム     page: 1-3   2010.8

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  1037. 超音波気管支鏡ナビゲーションシステム開発のための気管支鏡-超音波プローブキャリブレーション手法の検討

    久郷 達也,Tobias Reichl,Marco Feuerstein, 北坂 孝幸,Nassir Navab, 森 健策

    平成22年度電気関係学会東海支部連合大会プログラム     page: 2-6   2010.8

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  1038. 濃度値分布特徴に基づく3次元CT像からの転移性肝臓がん抽出

    坂本 佳隆,小田 昌宏,北坂 孝幸,縄野 繁, 森 健策

    平成22年度電気関係学会東海支部連合大会プログラム     page: 1-6   2010.8

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  1039. 臓器存在尤度アトラスとグラフカットを用いた腹部3次元CT像からの複数臓器の同時セグメンテーション

    中岡 輝久, 小田 昌宏, 北坂 孝幸, 森 健策

    平成22年度電気関係学会東海支部連合大会プログラム     page: 1-5   2010.8

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  1040. 胸部CT像アトラスのための平均画像生成に関する基礎的検討

    岸本 充博, フォイヤーシュタイン マルコ, 羅 雄彪, 北坂 孝幸,森 健策

    平成22年度電気関係学会東海支部連合大会プログラム     page: 1-4   2010.8

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  1041. Magnetically Guided 3-Dimensional Virtual Neuronavigation for Neuroendoscopic Surgery: Technique and Clinical Experience Reviewed

    Eiji Ito, Masazumi Fujii, Yuichiro Hayashi, Jiang Zhengang, Tetsuya Nagatani, Kiyoshi Saito, Yugo Kishida, Kensaku Mori, Toshihiko Wakabayashi

    ENDOSCOPY, OPERATIVE NEUROSURGERY 2   Vol. 66   page: ons342-353   2010.7

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  1042. 画像および呼吸機能検査情報に基づく多クラス分類器を利用した肺気腫重症度定量評価に関する検討

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策,

    電子情報通信学会技術研究報告   Vol. MI2010-47   page: 57-62   2010.7

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  1043. 臓器存在尤度アトラスとグラフカットを用いた腹部3次元CT像からの複数臓器同時セグメンテーション手法の開発

    中岡 輝久, 小田 昌宏, 北坂 孝幸, 古川 和宏, 三澤 一成, 藤原 道隆, 森 健策,

    第29回日本医用画像工学会大会予稿集     page: OP1-9   2010.7

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  1044. 3次元腹部X線CT像からのリンパ節抽出手法の改良

    中村 嘉彦, 北坂 孝幸, 古川 和宏, 後藤 秀実, 藤原 道隆, 三澤 一成, 伊藤 雅昭, 縄 野繁, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP4-1   2010.7

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  1045. 3次元腹部CT像における下腹部血管領域への血管名自動対応付けに関する研究

    Bui Huy Hoang, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP4-2   2010.7

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  1046. ボリュームレンダリング画像上における血管名表示手法

    蒋 振剛, 二村 幸孝, 北坂 孝幸, 三澤 一成, 藤原 道隆, 梶田 泰一, 若林 俊彦, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP4-3   2010.7

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  1047. 画像および呼吸機能検査情報を利用した多クラス分類器に基づく肺気腫重症度の定量評価支援システム

    二村 幸孝, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP6-8   2010.7

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  1048. 超音波気管支鏡ナビゲーションシステム開発のための気管支鏡-超音波プローブキャリブレーションに関する基礎的検討

    久郷 達也, Tobias Reichl, Marco Feuerstein, 北坂 孝幸, Nassir Navab, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP7-4   2010.7

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  1049. マイクロCTによる肺末梢構造の観察

    本間 裕敏, 神 裕介, 海老沼 孝郎, 高畠 博嗣, 森 雅樹, 森 健策, 名取 博

    第29回日本医用画像工学会大会予稿集     page: OP6-2   2010.7

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  1050. 胸部X線CT像から肺血管および肺結節の並行認識システムの構築についての検討

    陳 斌, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    第29回日本医用画像工学会大会予稿集     page: OP6-5   2010.7

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  1051. 画像診断の小児外科への応用(シンポジウム1), 「3次元画像処理による新たな外科手術支援」

    森 健策

    第47回 日本小児外科学会学術集会, 日本小児外科学会誌   Vol. 46 ( 3 ) page: 339   2010.6

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  1052. Computational anatomy for CAD-CAS integration

    Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, JICARS - Japanese Institutes of CARS, JICARS Special Session Part II - Computational Anatomy     page: ?   2010.6

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  1053. Colon and small intestine CAD:disease detection and visualization Invited

    Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, 12th International Workshop on Computer-Aided Diagnosis, Special Session on Abdominal,Brain,Lumbar Spine CAD - ABLCAD     page: ?   2010.6

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  1054. Automatic detection of informative frames from wireless capsule endoscopy images Reviewed

    Md. Khayrul Bashar, Takayuki Kitasaka, Yasuhito Suenaga, Yekada Mekada, Kensaku Mori

    Medical Image Analysis   Vol. 14 ( 3 ) page: 449-470   2010.6

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  1055. Assessment of alveolar bone resorption using cone-beam computed tomography

    Munekata Naitoh, Shoji Yamada, E Ariji, Jiro Nagao, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S396-S397   2010.6

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  1056. Surgical-assistance headquarter system based on collaboration of navigation system for image-guided surgery

    Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Yasukazu Kajita, Masazumi Fujii, Masaaki Mizuno, Toshihiko Wakabayashi, Jun Yoshida, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S406-S407   2010.6

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  1057. A method for registering the rotation of virtual and real endoscopic images in flexible neuroendoscopic surgery navigation system

    Zhengang Jiang, Yukitaka Nimura, Takayuki Kitasaka, Yuichiro Hayashi, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, Toshihiko Wakabayashi, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S298-S299   2010.6

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  1058. CAD system for quantifying emphysema severity based on integration of CT image and spirometry information

    Yukitaka Nimura, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S212-S213   2010.6

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  1059. Automated detection and display of abdominal lymph nodes from CT volumes based on local intensity structure analysis

    Kensaku Mori, Yoshihiko Nakamura, Takayuki Kitasaka, Masaaki Ito, Shigeru Nawano, Kazunari Misawa, Michitaka Fujiwara

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S125-S126   2010.6

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  1060. Development of computer-aided diagnosis system for Crohn's disease using virtual unfolded views

    Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, O. Watanabe, T. Ando, H. Goto, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S96-S97   2010.6

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  1061. Pulmonary blood vessel bifurcation enhancement filter with application to reduce false positive of nodule detection in 3D chest CT data

    Bin Chen, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S95-S96   2010.6

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  1062. Abdominal vessel extraction using 3D region growing and label discontinuity measure

    Md. Khayrul Bashar, Takayuki Kitasaka, Yukitaka Nimura, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S50-S57   2010.6

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  1063. A method for nomenclature of abdominal arteries extracted from 3D abdominal CT images based on optimizing combinations of candidate anatomical names

    Takayuki Kitasaka, Tomohiko Egusa, Masahiro Oda, Kazunari Misawa, Masazumi Fujii, Kensaku Mori

    International Journal of Computer Assisted Radiology and Surgery, CARS2010   Vol. 5 ( 1 ) page: S45-S49   2010.6

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  1064. Magnetically Guided 3-Dimensional Virtual Neuronavigation for Neuroendoscopic Surgery: Technique and Clinical Experience Reviewed

    Eiji Ito, Masazumi Fujii, Yuichiro Hayashi, Zhengang Jiang, Tetsuya Nagatani, Kiyoshi Saito, Yugo Kishida, Kensaku Mori, and Toshihiko Wakabayashi

    NEUROSURGERY   Vol. 66   page: ons342-353   2010.6

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  1065. マイクロCTによる肺抹消構造の観察

    本間 裕敏, 森 雅樹, 高畠 博嗣, 高橋 弘毅, 森 健策, 名取 博

    第33回 日本呼吸器内視鏡学会学術集会・プログラム・抄録集   Vol. 32   page: S160   2010.6

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  1066. 軟性神経内視鏡手術ナビゲーションにおける仮想内視鏡視軸と実内視鏡視軸回転誤差の簡便な補正手法 Reviewed

    蒋 振剛, 二村 幸孝, 北坂 孝幸, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也, 梶田 泰一, 若林 俊彦, 森 健策

    日本コンピュータ外科学会論文誌(J JSCAS)   Vol. 12 ( 2 ) page: 65-77   2010.6

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  1067. 大腸ひだと特徴点を用いた三次元腹部CT像の大腸領域における位置合わせ手法の開発

    深野 瑛一郎, 小田 昌宏, 北坂 孝幸, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹, 名取 博, 縄野 繁, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2010-4   page: 19-24   2010.5

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  1068. 医用画像を用いた大腸がんの計算機支援診断

    小田 昌宏, 北坂 孝幸, 末永 康仁, 森 健策

    画像応用技術専門委員会報告   Vol. 25 ( 1 ) page: 11-16   2010.5

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  1069. 画像処理技術による手術支援

    森 健策

    第110回 日本外科学会定期学術集会抄録集   Vol. 111 ( 臨時増刊号(2) ) page: 146   2010.4

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  1070. 医用画像を処理してみませんか?」CT像を対象とした画像認識・理解・生成を中心として Reviewed

    情報処理学会会誌「情報処理」   Vol. 51 ( 4 ) page: 435-445   2010.4

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  1071. 医用画像処理システム(NewVES)を用いた腹部外科手術支援

    三澤 一成, 伊藤 誠二, 伊藤 友一, 金光 幸秀, 森 健策, 林 雄一郎, 中村 一郎, 森本 守, 千田 嘉毅, 小森 康司, 佐野 力, 清水 泰博, 平井 孝, 藤原 道隆, 小寺 泰弘, 中尾 昭公

    第110回 日本外科学会定期学術集会抄録集   Vol. 111 ( 2 ) page: 148   2010.4

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  1072. CT画像に基づく腹腔鏡手術シミュレータによる手術計画立案支援

    小田 昌宏, 森 浩起, 江種 友彦, 北坂 孝幸, 三澤 一成, 森 健策

    第4回 Open MRI研究会 プログラム・抄録集     page: 8-9   2010.3

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  1073. ヴァーチャルネットワーク手術室(Brain THEATER)における遠隔手術支援コンピュータ技術

    梶田 泰一, 林 雄一郎, 山本 圭介, 藤井 正純, 水野 正明, 若林 俊彦, 森 健策, 吉田 純

    第19回脳神経外科手術と機器学会 プログラム・抄録集     page: 109   2010.3

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  1074. Open MRIと変形フュージョン技術による画像誘導手術支援

    林 雄一郎, 森 健策, 藤井 正純, 梶田 泰一, 水野 正明, 吉田 純, 若林 俊

    第4回 Open MRI研究会 プログラム・抄録集     page: 10   2010.3

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  1075. Development of CAD prototype system for Crohn's disease

    Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, and Hidemi Goto

    Proceedings of SPIE, Medical Imaging 2010   Vol. 7624   page: 76241U-1-10   2010.2

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  1076. Adaptive Model Based Pulmonary Artery Segmentation in 3D Chest CT

    Marco Feuerstein, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of SPIE Medical Imaging 2010   Vol. 7623   page: 76234S-1-76234S-9   2010.2

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  1077. A Rapid Method for Compensating Registration Error between Tracker and Endoscope in Flexible Neuroendoscopic Surgery Navigation System

    Zhengang Jiang, Kensaku Mori, Yukitaka Nimura, Takayuki Kitasaka, Yuichiro Hayashi, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, and Toshiko Wakabayashi

    Proceedings of SPIE, Medical Imaging 2010   Vol. 7625   page: 762521-762521-9   2010.2

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  1078. Haustral fold registration in CT colonography and its application to registration of virtual stretched view of the colon

    Eiichiro Fukano, Masahiro Oda, Takayuki Kitasaka, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano, and Kensaku Mori

    Proceedings of SPIE, Medical Imaging 2010   Vol. 7624   page: 762420-1-11   2010.2

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  1079. Towards hybrid bronchoscope tracking under respiratory motion: evaluation on a dynamic motion phantom

    Xiongbiao Luo, Marco Feuerstein, Takamasa Sugiura, Takayuki Kitasaka, Kensaku Mori, Kazuyoshi Imaizumi, and Yoshinori Hasegawa

    Proceedings of SPIE, Medical Imaging 2010   Vol. 7625   page: 76251B-76251B-11   2010.2

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  1080. Blood Vessel Segmentation using Line-Direction Vector based on Hessian Analysis

    Yukitaka Nimura, Takayuki Kitasaka, and Kensaku Mori

    Proceedings of SPIE, Medical Imaging 2010   Vol. 7623   page: 76233Q-7-9   2010.2

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  1081. 機能的脳神経外科手術における新しい手術支援画像技術

    梶田 泰一, 林 雄一郎, 森 健策, 中坪 大輔, 前澤 聡, 若林,俊彦, 吉田,純

    第33回日本脳神経CI学会総会     page: 100   2010.2

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  1082. 手術支援画像処理システムの分散協調によるヘッドクオータシステムの開発

    林 雄一郎, 梶田 泰一, 藤井 正純, 水野,正明, 吉田,純, 若林,俊彦, 森 健策

    第33回日本脳神経CI学会総会     page: 98   2010.2

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  1083. 3次元腹部CT像からの窪み領域検出に基づくクローン病計算機支援診断システムの開発

    小田 昌宏, 古川 和宏, 北坂 孝幸, 渡辺 修, 安藤 貴文, 後藤 秀実, 森 健策,

    電子情報通信学会技術研究報告   Vol. MI2009-93   page: 97-102   2010.1

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  1084. 血管分岐情報に基づく腹部動脈に対する血管名自動対応付け

    江種 友彦,小田昌宏,北坂 孝幸,三澤 一成,藤原 道隆,森 健策

    電子情報通信学会技術研究報告   Vol. MI2009-131   page: 303-308   2010.1

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  1085. 気管支鏡カメラ動き追跡のための気管支構造情報を利用した呼吸動補正に関する検討

    杉浦 貴優,フォイヤーシュタイン マルコ,北坂 孝幸,末永 康仁,今泉 和良,長谷川 好規,森 健策

    電子情報通信学会技術研究報告   Vol. MI2009-132   page: 309-314   2010.1

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  1086. 腹部3次元CT像データベースを用いた類似画像検索と画像位置合わせに基づく臓器自動抽出手法

    森 浩起, 小田 昌宏, 北坂 孝幸, 三澤 一成, 藤原 道隆, 縄野 繁, ルッカート ダニエル, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2009-116   page: 217-222   2010.1

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  1087. 球面調和関数展開による濃淡構造解析に基づく血管領域抽出に関する検討

    二村 幸孝, 北坂 孝幸, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2009-120   page: 241-246   2010.1

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  1088. 画像および呼吸機能検査情報統合による肺気腫重症度の定量評価手法

    二村 幸孝, 来見田 健二, 北坂 孝幸, 森 健策, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博

    第2回呼吸機能イメージング研究会学術集会プログラム・抄録集     page: 59   2010.1

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  1089. Exploring Duplicated Regions in Natural Images Reviewed

    Md. Khayrul BASHAR, Keiji Noda, Noboru Ohnishi, Kensaku Mori

    IEEE Transactions on Image Processing     page: in print   2010

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  1090. 特集 コンピュータを用いた呼吸器病態解析の進歩と展望 肺内バーチャルナビゲーション

    森 健策

    呼吸と循環(発行 医学書院)   Vol. 57 ( 12 ) page: 1245-1253   2009.12

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  1091. SURF特徴点に基づくカメラ動き予測と画像位置合わせを用いた気管支鏡位置追跡手法の改善

    羅 雄彪, フォイヤーシュタイン・マルコ, 北坂 孝幸, 森 雅樹, 高畠 博嗣, 名取 博, 今泉 和良, 長谷川 好規, 森 健策

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 200-201   2009.11

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  1092. 気管支構造を利用した気管支鏡カメラ動き追跡における呼吸動補正に関する検討

    杉浦 貴優, フォイヤーシュタイン マルコ, 北坂 孝幸, 今泉 和良, 長谷川 好規, 森 健策

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 198-199   2009.11

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  1093. MICCAI 2009参加報告 -研究動向調査-

    佐藤 嘉伸, 増谷 佳孝, 森 健策, 林 達郎, 音丸 格, 横田 太, 北坂 孝幸

    電子情報通信学会技術研究報告   Vol. MI2009-74   page: 47-54   2009.11

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  1094. 画像誘導手術のためのナビゲーションシステムの協調による手術支援ヘッドクオータシステムの開発

    林 雄一郎, 山本 圭介, 二村 幸孝, 北坂 孝幸, 森 健策, 藤井 正純, 梶田 泰一, 水野 正明, 若林 俊彦, 吉田 純, 末永 康仁

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 212-213   2009.11

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  1095. 血管情報に基づく腹部動脈への血管名自動対応付け手法

    江種 友彦, 小田昌宏, 北坂 孝幸, 森 健策a, 三澤 一成, 藤原 道隆

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 292-293   2009.11

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  1096. 気管支鏡ガイダンスシステムのための呼吸に伴う肺野変形モデルの構築に関する検討

    久郷 達也, フォイヤーシュタイン・マルコ, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 306-307   2009.11

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  1097. 非剛体レジストレーションによる術中の錐体路の推定 ―高磁場術中MRI装置による評価

    林 雄一郎, 森 健策, 藤井 正純, 梶田 泰一, 水野 正明, 若林 俊彦, 吉田 純

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 308-309   2009.11

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  1098. 局所濃淡構造解析による3次元胸部CT像からの気管支領域抽出手法の検討

    矢野 裕章, フォイヤーシュタイン・マルコ, 北坂 孝幸, 森 健策

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 332-333   2009.11

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  1099. 軟性神経内視鏡手術ナビゲーションにおける仮想内視鏡視軸回転誤差補正手法

    蒋 振剛, 二村 幸孝, 北坂 孝幸, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11 ( 3 ) page: 374-375   2009.11

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  1100. 胸部X線CT像からの肺結節を識別可能な肺血管抽出手法に関する検討

    陳 斌, 北坂 孝幸, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    日本コンピュータ外科学会誌 第18回日本コンピュータ外科学会大会特集号   Vol. 11   page: 404-405 3   2009.11

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  1101. *Dynamic CAD: A CAD System Based on Dynamic Volume-rendering for Assessing Chemotherapeutic Effects on Follow-up 3D Chest CT Scans Reviewed

    Yukitaka Nimura, Yoshihiko Nakamura, Takayuki Kitasaka, Kensaku Mori, Hirotsugu Takabatake, Masaki Mori

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2009     page: 930   2009.11

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    The major teaching points of this exhibit are:
    - The system works well for finding lung nodule correspondence
    - Accuracy of lung nodule correspondence finding is 83.3% for 36 sets of lung nodule correspondence
    - Dynamic rendering of lung nodules and blood vessels changes greatly helps radiologists to assess chemotherapy effect of metastasis lung nodules
    - Radiologists are able to visually evaluate chemotherapy effect easily by dynamic volume rendering of co-registered follow-up CT scans

  1102. CAD System with Synchronized Display of Supine and Prone Virtual Unfolded Views for Assisting CT Colonography Reading Reviewed

    Masahiro Oda, Eichiro Fukano, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Hiroshi Natori, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Shigeru Nawano

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2009     page: 929   2009.11

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  1103. 腫瘍手術に対する診断・治療一体型インテリジェント内視鏡手術機器の開発: ラストワンマイルへの挑戦

    梶田 泰一, 荒田 純平, 田中 由浩, 多田 泰徳, 林 雄一郎, 内山 剛, 加藤 竜司, 本多 裕之, 森 健策, 藤井 正純, 夏目 敦至, 水野 正明, 若林 俊彦, 藤本 英雄, 吉田 純

    第68回日本脳神経外科学会総会     page: 3C-S19-03   2009.10

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  1104. 術中MRIの現在と未来

    藤井 正純, 前澤 聡, 森 健策, 林 雄一郎, 梶田 泰一, 夏目 敦至, 伊藤 元一, 本村 和也, 中原 紀元, 吉田 純, 若林 俊彦

    第68回日本脳神経外科学会総会     page: 3A-S16-02   2009.10

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  1105. 総説 3D Virtual Imageの有用性

    森 健策

    脳神経外科 NEUROLOGICAL SURGERY   Vol. 37 ( 10 ) page: 949-956   2009.10

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  1106. 術前・術中画像を用いたバーチャルエンドスコピーによる画像誘導呪術支援

    林 雄一郎, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 森 健策, 末永 康仁

    脳腫瘍の外科-Multimodality時代の脳腫瘍の外科-     page: 210-215   2009.10

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  1107. 内視鏡下径蝶形骨洞手術におけるバーチャルナビゲーションシステム

    伊藤 英治, 永谷 哲也, 齋藤 清, 藤井 正純, 岸田 悠吾, 若林 俊彦, 森 健策, 林 雄一郎, 蒋 振剛, 末永 康仁

    日本内分泌学会雑誌, 第19回日本間脳下垂体腫瘍学会proceeding   Vol. 85 ( Oct 2009 ) page: 30-32   2009.10

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  1108. 腹部3次元CT像からの塊状構造特徴を利用した転移性肝がん検出手法

    森 浩起, 中岡 輝久, 小田 昌宏, 北坂 孝幸, 縄野 繁, 森 健策

    平成21年度日本生体医工学会東海支部大会     page: 25   2009.10

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  1109. Automated Anatomical Likelihood Driven Extraction and Branching Detection of Aortic Arch in 3-D Chest CT

    Marco Feuerstein, Takayuki Kitasaka, Kensaku Mori

    The Second International Workshop on Pulmonary Image Analysis, MICCAI 2009     page: 49-60   2009.9

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  1110. 仮想化人体内部の探索とその医学応用 -診断支援から治療支援まで-

    森 健策

    日本ハイパーサーミア学会 第26回大会 プログラム・抄録集     page: 42   2009.9

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  1111. Automated Anatomical Labeling of Bronchial Branches Extracted from CT Datasets Based on Machine Learning and Combination Optimization and Its Application to Bronchoscope Guidance

    Kensaku Mori, Shunsuke Ota, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Shingo Iwano, Yosihnori Hasegawa, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori

    Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 Proceedings   Vol. LNCS 5762 ( Part II ) page: 707-714   2009.9

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  1112. Adaptive Branch Tracing and Image Sharpening for Airway Tree Extraction in 3-D Chest CT

    Marco Feuerstein, Takayuki Kitasaka, Kensaku Mori

    Second International Workshop on Pulmonary Image Analysis EXACT'09, MICCAI 2009     page: 273-284   2009.9

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  1113. 動的ファントムを利用した気管支鏡動き追跡における呼吸動補正に関する検討

    杉浦 貴優,フォイヤーシュタイン マルコ, 森 健策,北坂 孝幸, 末永 康仁

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-205   2009.9

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  1114. 血管分岐情報を利用した腹部動脈に対する血管名自動対応付けに関する研究

    江種 友彦,小田 昌宏,藤原 道隆, 森 健策,北坂 孝幸,末永 康仁, 三澤 一成

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-111   2009.9

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  1115. 線走行方向を考慮した血管領域抽出に関する予備的検討

    二村 幸孝,北坂 孝幸, 森 健策

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-112   2009.9

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  1116. 非剛体レジストレーションを用いた多発性小肺結節の経過観察支援のための3次元胸部CT像からの結節対応付け手法

    中村 嘉彦,陳 斌, 森 健策,北坂 孝幸, 高畠 博嗣, 森 雅樹, 名取 博

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-116   2009.9

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  1117. 大腸ひだとランドマークを用いた三次元腹部CT像における大腸領域の位置合わせ手法

    深野 瑛一郎,小田 昌宏, 森 健策,北坂 孝幸, 末永 康仁

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-117   2009.9

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  1118. 管支鏡ナビゲーションのためKLT特徴点を用いた気管支カメラ動きの追跡に関する研究

    羅 雄彪,フォイヤーシュタイン マルコ, 北坂 孝幸, 森 健策

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-125   2009.9

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  1119. 仮想展開像を用いたクローン病診断支援システムのプロトタイプ開発

    小田 昌宏,北坂 孝幸, 森 健策,古川 和宏, 渡辺 修, 安藤 貴文, 後藤 秀美

    平成21年度電気関係学会東海支部連合大会プログラム     page: O-204   2009.9

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  1120. 実内視鏡と仮想内視鏡を融合した軟性神経内視鏡手術ナビゲーションにおける視軸回転誤差補正手法

    蒋 振剛, 森 健策, 二村 幸孝, 北坂 孝幸, 末永 康仁, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也, 梶田 泰一, 若林 俊彦

    第28回日本医用画像工学会大会予稿集     page: OP6-04   2009.8

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  1121. SIFT Feature-based Motion Estimation for Bronchoscope Tracking

    Xiongbiao Luo, Marco Feuerstein, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Kasuyoshi Imaizumi, Yoshinori Hasegawa, Kensaku Mori

        page: OP6-03   2009.8

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  1122. 仮想化気管支内視鏡ナビゲーションを利用した肺小病変切除のCAD支援

    森 雅樹, 高畠 博嗣, 加地 苗人, 本間 裕敏, 森 健策, 名取 博

    CT検診   Vol. 16 ( 2 ) page: 79-82   2009.8

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  1123. 非剛体レジストレーションによる術前画像と術中画像の融合に関する検討

    林 雄一郎, 森 健策, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 末永 康仁

    第28回日本医用画像工学会大会予稿集     page: OP4-08   2009.8

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  1124. 3次元腹部X線CT像からの局所濃淡構造解析を用いたリンパ節抽出手法の検討

    中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    第28回日本医用画像工学会大会予稿集     page: OP3-07   2009.8

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  1125. 気管支鏡ガイダンスシステムのための気管支変形モデルの構築に関する基礎的検討

    久郷 達也, フォイヤーシュタイン マルコ, 森 健策, 北坂 孝幸, 末永 康仁, 長谷川 好規, 今泉 和良, 岩野 信吾

    第28回日本医用画像工学会大会予稿集     page: OP6-01   2009.8

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  1126. 臓器存在尤度マップを用いた3次元腹部CT像からの膵臓領域抽出手法の検討

    中岡 輝久, 小田 昌宏, 森 健策, 北坂 孝幸, 末永 康仁, 古川 和宏

    第28回日本医用画像工学会大会予稿集     page: P16   2009.8

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  1127. 大腸芯線に沿った方向差分フィルタを用いた3次元腹部CT像からの大腸ひだ検出手法

    小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹, 名取 博, 縄野 繁

    第28回日本医用画像工学会大会予稿集     page: P05   2009.8

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  1128. 腹部3次元CT像データベースからの類似画像検索に基づく臓器自動抽出手法

    森 浩起, 小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 三澤 一成, 藤原 道隆

    第28回日本医用画像工学会大会予稿集     page: OP2-10   2009.8

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  1129. 局所濃淡構造解析に基づく3次元胸部CT像からの気管支領域抽出手法に関する検討

    矢野 裕章, 出口 大輔, フォイヤーシュタイン マルコ, 森 健策, 北坂 孝幸, 末永 康仁

    第28回日本医用画像工学会大会予稿集     page: P13   2009.8

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  1130. 胸部X線CT像からの局所濃淡構造解析を用いたLevel-set法による肺血管抽出手法の検討

    陳 斌, 中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博

    第28回日本医用画像工学会大会予稿集     page: OP1-08   2009.8

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  1131. 局所濃淡構造解析に基づく線の走行方向を利用した血管領域抽出

    二村 幸孝, 北坂 孝幸, 森 健策

    第28回日本医用画像工学会大会予稿集     page: OP2-02   2009.8

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  1132. 仮想化気管支鏡ナビゲーションによる気道の構造の分析

    本間 裕敏, 高畠 博嗣, 森 雅樹, 森 健策, 名取 博

    第28回日本医用画像工学会大会予稿集     page: OP2-05   2009.8

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  1133. 血管分岐情報を利用した腹部動脈に対する血管名自動対応付け手法

    江種 友彦, 小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 三澤 一成, 藤原 道隆

    第28回日本医用画像工学会大会予稿集     page: OP3-01   2009.8

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  1134. 大腸ひだとランドマークを用いた三次元腹部CT像における大腸領域の位置合わせ手法

    深野 瑛一郎, 小田 昌宏, 森 健策, 北坂 孝幸, 末永 康仁

    第28回日本医用画像工学会大会予稿集     page: OP4-06   2009.8

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  1135. 局所濃淡構造解析及びCT値分布特徴を用いた3次元胸部CT像からの気管支領域抽出手法の検討

    矢野 裕章, Marco Feuerstein, 北坂 孝幸, 森 健策

    電子情報通信学会技術研究報告   Vol. MI2009-49   page: 51-56   2009.7

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  1136. *Selective image similarity measure for bronchoscope tracking based on image registration Reviewed

    Daisuke Deguchi, Kensaku Mori, Marco Feuerstein, Takayuki Kitasaka, Calvin R.Maurer Jr., Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Medical Image Analysis   Vol. 13 ( 4 ) page: 621-633   2009.6

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  1137. Patient-specific Iaparoscopic surgery planning system based on virtual pneumoperitoneum technique

    Kensaku Mori, Masakazu Kito, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara

    International Jounral of Computer Assistd Radiolgy and Surgery(CARS2009)   Vol. 4 ( 1 ) page: S140-142   2009.6

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  1138. Virtual surgiscope: 3D visualization tool for assisting image-guided neurosurgery

    Hayashi Yuichir, Kensaku Mori, Masazumi Fujii, Yasukazu Kajita, Eiji Ito, Shigenori Takebayashi, Masaaki Mizuno, Toshihiko Wakabayashi, Jun Yoshida, Yasuhito Suenaga

    International Jounral of Computer Assistd Radiolgy and Surgery(CARS2009)   Vol. 4 ( 1 ) page: S246-247   2009.6

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  1139. A new flexible neuroendoscopic surgery navigation system using electromagnetic tracker

    Zhengang Jiang, Kensaku Mori, Yukitaka Nimura, Yasuhito Suenaga, Takayuki Kitasaka, Hayashi Yuichir, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, Toshihiko Wakabashi

    International Jounral of Computer Assistd Radiolgy and Surgery(CARS2009)   Vol. 4 ( 1 ) page: S248-249   2009.6

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  1140. An improved method for automated recognition of bronchial tree structure by optimizing combinations of candidate anatomical names

    Takayuki Kitasaka, Shunsuke Ota, Daisuke Deguchi, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi, Singo Iwano, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    International Jounral of Computer Assistd Radiolgy and Surgery(CARS2009)   Vol. 4 ( 1 ) page: S327-328   2009.6

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  1141. Mosaicing capsule endoscopic images by phase correlation

    Md. Khayrul Bashar, Kensaku Mori, Yasuhito Suenaga, Takayuki Kitasaka, Yekada Mekada

    International Jounral of Computer Assistd Radiolgy and Surgery(CARS2009)   Vol. 4 ( 1 ) page: S49-51   2009.6

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  1142. 神経内視鏡手術におけるバーチャルナビゲーションの使用経験:5症例

    伊藤 英治, 齋藤 清, 藤井 正純, 永谷 哲也, 岸田 悠吾, 若林 俊彦, 林 雄一郎, 蒋 振剛, 森 健策

    第9回日本脳神経外科術中画像研究会 プログラム・抄録集     page: 25   2009.6

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  1143. 診断・治療一体型インテリジェント手術機器の開発: 脳腫瘍手術ラストワンマイルの挑戦

    梶田 泰一, 荒田 純平, 田中 由浩, 多田 泰徳, 林 雄一郎, 内山 剛, 加藤 竜司, 本多 裕之, 森 健策, 夏目 敦至, 藤井 正純, 水野 正明, 若林 俊彦, 藤本 英雄

    第9回日本脳神経外科術中画像研究会 プログラム・抄録集     page: 19   2009.6

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  1144. 術中画像と術前画像の融合による画像誘導手術の支援

    林 雄一郎, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 森 健策, 末永 康仁

    第9回日本脳神経外科術中画像研究会 プログラム・抄録集     page: 21   2009.6

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  1145. 局所濃淡構造解析を用いた3次元腹部X線CT像からのリンパ節抽出手法の改良

    中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2009-13   page: 69-74   2009.5

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  1146. 画像処理技術による脳神経外科画像誘導手術の支援

    林雄一郎, 藤井正純, 梶田泰一, 伊藤英治, 竹林成典, 水野正明, 若林俊彦, 吉田純, 森健策, 末永康仁

    第18回脳神経外科手術と機器学会 プログラム・抄録集     page: 128   2009.4

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  1147. 神経内視鏡手術における磁気式virtual neuronavigation

    伊藤英治, 永谷哲也, 齋藤清, 藤井正純, 岸田悠吾, 竹林成典, 森健策, 林雄一郎, 蒋振剛, 若林俊彦

    第18回脳神経外科手術と機器学会 プログラム・抄録集     page: 102   2009.4

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  1148. *Digital Bowel Cleansing Free Colonic Polyp Detection Method for Fecal Tagging CT Colonography

    Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano

    Academic Radiology   Vol. 16 ( 4 ) page: 486-494   2009.4

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    RATIONALE AND OBJECTIVES: Fecal tagging computed tomographic colonography (ftCTC) reduces the discomfort and the inconvenience of patients associated with bowel cleansing procedures before CT scanning. In conventional colonic polyp detection techniques for ftCTC, a digital bowel cleansing (DBC) technique is applied to detect polyps in tagged fecal materials (TFM). However, DBC removes the surface of soft tissues and hampers polyp detection. We developed a colonic polyp detection method for CT colonographic examination that enables the detection of polyps surrounded by air and polyps surrounded by TFM without DBC. MATERIALS AND METHODS: CT values inside the polyps surrounded by air and polyps surrounded by TFM tend to gradually increase (blob structure) and decrease (inverse-blob structure) from outward to inward, respectively. We developed blob and inverse-blob structure enhancement filters based on the eigenvalues of a Hessian matrix to detect polyps using their intensity characteristic. False-positive elimination is performed using three feature values: volume, maximum value of filter outputs, and standard deviation of CT values inside the polyp candidates. RESULTS: The proposed method is applied to 104 cases of ftCTC images that include 57 polyps larger than 6 mm in diameter. The sensitivity of the method was 91.2% (52/57) with 11.4 false positives per case. CONCLUSIONS: The proposed method detects polyps with high sensitivity and 11.4 false positives per case without adverse effects on the DBC.

  1149. 脳腫瘍手術に対する診断・治療一体型インテリジェント手術機器の開発

    梶田泰一, 荒田純平, 林雄一郎, 内山剛, 本多裕之, 森健策, 水野正明, 若林俊彦, 藤本英雄, 吉田純

    第18回脳神経外科手術と機器学会 プログラム・抄録集     page: 57   2009.4

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  1150. 非剛体レジストレーションを利用した3次元胸部CT像の位置合わせと多発性小肺結節の経過観察支援への応用

    内藤 英智, 陳 斌, 森 健策, 末永 康仁, 北坂 孝幸, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. PRMU2008-287   page: 313-318   2009.3

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  1151. 3次元CT像に基づく腹部動脈に対する血管名自動対応付けに関する研究

    江種 友彦, 小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 三沢 一成, 藤原 道隆

    電子情報通信学会2009年総合大会プログラム     page: D-16-4   2009.3

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  1152. 変形フュージョンー新しい術中・術前画像融合技術ーがきりひらく高度な画像誘導手術

    藤井 正純, 林 雄一郎, 森 健策, 竹林 成典, 前澤 聡, 梶田 泰一, 吉田 純, 若林 俊彦

    第32回日本脳神経CI学会総会 プログラム・抄録集     page: 146   2009.3

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  1153. 画像誘導手術支援のためのバーチャルサージスコープの開発

    林 雄一郎, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 森 健策, 末永 康仁

    第32回日本脳神経CI学会総会 プログラム・抄録集     page: 164   2009.3

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  1154. Computer-aided diagnosis of lung cancer:definition and detection of ground-glass opacity type of nodules by high-resolution computed tomography

    Tohru Okada, Shingo Iwano, Takeo Ishigaki Takayuki Kitasaka, Yasushi Hirano, Kensaku Mori, Yasuhito Suenaga, Shinji Naganawa

    Jpn J Radiol(2009)   Vol. 27   page: 91-99   2009.2

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  1155. Automatic mediastinal lymph node detection in chest CT

    Marco Feuerstein, Daisuke Deguchi, Takayuki Kitasaka, Shingo Iwano, Kazuyoshi Imaizumi, Yoshinori Hasegawa, Yasuhito Suenaga, Kensaku Mori

    Proceedings of SPIE   Vol. 7260   page: 72600V-1-11   2009.2

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  1156. Haustral fold detection method for CT colonography based on difference filter along colon centerline

    Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Shigeru Nawano

    Proceedings of SPIE   Vol. 7260   page: 72602M-1-9   2009.2

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  1157. An improved method for compensating ultra-tiny electromagnetic tracker utilizing position and orientation information and its application to a flexible-neuroendoscopic surgery navigation system

    Zhengang Jiang, Kensaku Mori, Yukitaka Nimura, Takayuki Kitasaka, Yasuhito Suenaga, Yuichiro Hayashi, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, Jun Yoshida

    Proceedings of SPIE   Vol. 7261   page: 72612T-1-12   2009.2

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  1158. A method for accelerating bronchoscope tracking based on image registration by using GPU

    Takamasa Sugiura, Daisuke Deguchi, Marco Feuerstein, Takayuki Kitasaka, Yasuhito Suenaga, and Kensaku Mori

    Proceedings of SPIE   Vol. 7261   page: 726108-1-12   2009.2

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  1159. 内視鏡下蝶形骨洞手術におけるバーチャルナビゲーション手術

    伊藤 英治, 永谷 哲也, 齋藤 清, 藤井 正純, 岸田 悠吾, 若林 俊彦, 森 健策, 林 雄一郎, 蒋 振剛, 末永 康仁

    第19回日本間脳下垂体腫瘍学会 プログラム・抄録集     page: 74   2009.2

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  1160. バーチャルエンドスコピーを用いた脳神経外科手術支援

    林 雄一郎, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 森 健策, 末永 康仁

    第38回日本神経放射線学会 プログラム・抄録集     page: 93   2009.2

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  1161. 仮想化気管支鏡ナビゲーションを利用した肺小病変切除のCAD支援

    森 雅樹,高畠 博嗣,加地 苗人, 本間 裕敏, 森 健策, 名取 博

    第16回日本CT検診学会学術集会抄録集     page: 54(OR5-1)   2009.2

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  1162. 時系列胸部X線CT像を用いた肺結節経過観察支援のための肺結節同定手法の検討

    内藤 英智, 中村 嘉彦,森 健策,末永 康仁,北坂 孝幸,本間 裕敏,高畠 博嗣,森 雅樹,名取 博

    第16回日本CT検診学会学術集会抄録集     page: 58(OR5-5)   2009.2

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  1163. NavI-CADS - Navigation-based Intelligent Computer-Aided Diagnosis and Surgery

    Kensaku Mori

      Vol. MI2008-101   page: 223-223   2009.1

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  1164. Stitching Capsule Endoscopic Images Using Phase Correlation

    Md. Khayrul Bashar, Kensaku Mori, Yasuhito Suenaga, Takayuki Kitasaka, Yoshito Mekada

      Vol. MI2008-162   page: 461-466   2009.1

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  1165. 気管支鏡ガイダンスシステムのための自動気管支構造認識手法の開発

    太田 峻輔, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 長谷川 好規, 今泉 和良, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2008-151   page: 421-426   2009.1

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  1166. Pulmonary Vessel Region Extraction from 3D Chest CT Images and Its Application to reduction of false positive regions in lung nodule detection

    Bin Chen・Hideto Naito, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

      Vol. MI2008-127   page: 305-310   2009.1

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  1167. 機能的脳神経外科手術における新しい手術支援画像技術の開発

    梶田 泰一, 林 雄一郎, 森 健策, 種井 隆文, 竹林 成典, 若林 俊彦

    第48回日本定位・機能神経外科学会プログラム・抄録集     page: 67   2009.1

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  1168. Refraction-based 2D, 2.5D and 3D medical imaging: Stepping forward to a clinical trial

    Masami Ando, Hiroko Bando, Tokiko Endo, Shu Ichihara, Eiko Hashimoto, Kazuyuki Hyodo, Toshiyuki Kunisada, Gang Li, Anton Maksimenko, Kensaku Mori, Daisuke Shimao, Hiroshi Sugiyama, Tetsuya Yuasa, Ei Ueno

    European Journal of Radiology   Vol. 68 ( 3 ) page: S32-S36   2008.12

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  1169. 部分空間法を用いた胸部X線CT像からの肺結節陰影認識における精度低下要因の分析 Reviewed

    中村 嘉彦, 森 健策, 末永 康仁, 山本 眞司, 滝沢 穂高, 水野 慎士, 松本 徹, 曾根 脩輔

    MEDICAL IMAGING TECHNOLOGY   Vol. 26 ( 5 ) page: 347-358   2008.11

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  1170. *計算機支援医用画像診断のための共通基盤システムの開発 Reviewed

    二村 幸孝, 出口 大輔, 北坂 孝幸, 末永 康仁, 森 健策

    MEDICAL IMAGING TECHNOLOGY   Vol. 26 ( 5 ) page: 327-337   2008.11

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  1171. Computer-Aided Diagnosis and Surgery Based on Medical Image Recognition and Visualization Invited

    Kensaku Mori

    Nanospace Manipulation of Photons and Electrons for Nanovision Systems     page: 20-24   2008.11

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  1172. A CT Colonography CAD System Using Digital Bowel Cleansing Free Detection Method of Colonic Polyp from Fecal Tagging CT Images, Reviewed

    Kensaku Mori, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, et al.

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2008     page: 802   2008.11

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  1173. PLUTO: A Common CAD Platform for Multiorgan Multidisease CAD (MoMd-CAD) Reviewed

    Yukitaka Nimura, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga,

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2008     page: 904   2008.11

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  1174. CAD System for Assessing Chemotherapeutic Effects on Metastatic Lung Nodules by Follow-up 3D Chest CT Images Based on Nonrigid Image Registration Reviewed

    Masahiro Oda, Kensaku Mori, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Takayuki Kitasaka, Yasuhito Suenaga, Shigeru Nawano

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2008     page: 911   2008.11

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  1175. 神経内視鏡手術における磁気式virtual navigation system

    伊藤 英治, 齊藤 清, 永谷 哲也, 岸田 悠吾, 藤井 正純, 竹林 成典, 若林 俊彦, 森 健策, 林 雄一郎

    第15回日本神経内視鏡学会プログラム・抄録集     page: 51   2008.11

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  1176. 進展するCAD診断の実力とは NavI-CAD その技術的概説と臨床展開に向けて Invited

    森 健策,

    月刊 新医療   Vol. 35 ( 10 ) page: 118-121   2008.10

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  1177. 気管支鏡追跡のため気管支鏡像特徴点抽出に関する研究

    羅 雄彪, フォイヤーシュタイン・マルコ, 出口 大輔, 北坂 孝幸, 末永 康仁, 今泉 和良, 長谷川 好規, 森 健策

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 399-400   2008.10

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  1178. 術中画像と術前画像の融合による脳神経外科画像誘導手術支援

    林 雄一郎, 森 健策, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 末永 康仁

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 301-302   2008.10

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  1179. 脳室内病変における神経内視鏡手術のためのバーチャルナビゲーションシステムの開発

    伊藤 英治, 永谷 哲也, 齋藤 清, 藤井 正純, 梶田 泰一, 竹林 成典, 若林 俊彦, 森 健策, 林 雄一郎, 蒋 振剛, 末永 康仁

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 303-304   2008.10

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  1180. 6自由度情報を用いた磁気式位置センサ出力誤差の補正及び軟性神経内視鏡手術ナビゲーションへの応用

    蒋 振剛, 森 健策, 二村 幸孝, 北坂 孝幸, 末永 康仁, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也, 梶田 泰一, 若林 俊彦, 吉田 純

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 305-306   2008.10

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  1181. ナビゲーション機能を備えた仮想化内視鏡システムによる術中画像誘導脳神経外科手術

    梶田 泰一, 森 健策, 蒋 振剛, 林 雄一郎, 藤井 正純, 水野 正明, 若林 俊彦, 吉田 純

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 299-300   2008.10

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  1182. 3D Virtual imageの進歩に伴う脳神経外科手術教育の改革

    若林 俊彦, 藤井 正純, 伊藤 英治, 林 雄一郎, 森 健策, 吉田 純

    第67回日本脳神経外科学会総会     page: 1G-O18-03   2008.10

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  1183. 神経内視鏡手術おける仮想化内視鏡画像 -脳室内病変に対する有用性と今後の課題-

    岸田 悠吾, 永谷 哲也, 齋藤 清, 伊藤 英治, 若林 俊彦, 森 健策, 林 雄一郎

    第67回日本脳神経外科学会総会     page: 1J-06-P11-06   2008.10

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  1184. 術中画像誘導手術における新しい画像解析ソフトウエアー(New Virtual Endoscopy System)の有用性

    梶田 泰一, 林 雄一郎, 森 健策, 末永 康仁, 竹林 成典, 藤井 正純, 水野 正明, 若林 俊彦, 吉田 純

    第67回日本脳神経外科学会総会     page: 2J-06-P60-10   2008.10

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  1185. 手術支援画像とネットワーク技術に支えられた未来型ヴァーチャル画像誘導手術

    藤井 正純, 梶田 泰一, 水野 正明, 林 雄一郎, 森 建策, 津坂 昌利, 前澤 聡, 夏目 敦至, 島戸 真司, 吉田 純, 若林 俊彦

    第67回日本脳神経外科学会総会     page: 2J-07-P61-02   2008.10

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  1186. 術前・術中画像を用いたバーチャルエンドスコピーによる画像誘導手術支援

    林 雄一郎, 藤井 正純, 梶田 泰一, 伊藤 英治, 竹林 成典, 水野 正明, 若林 俊彦, 吉田 純, 森 健策, 末永 康仁

    第13回日本脳腫瘍の外科学会プログラム・抄録集     page: 95   2008.10

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  1187. 造影胸部CT画像からの縦隔リンパ節の自動検出

    フォイヤーシュタイン・マルコ, 出口 大輔, 北坂 孝幸, 岩野 信吾, 今泉 和良, 長谷川 好規, 末永 康仁, 森 健策

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 241-242   2008.10

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  1188. CT値分布特徴を用いた3次元胸部CT像からの気管支領域抽出手法の検討

    矢野 裕章, 出口 大輔, フォイヤーシュタイン・マルコ, 北坂 孝幸, 森 健策, 末永 康仁

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 243-244   2008.10

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  1189. GPUを用いた気管支鏡カメラ動き推定処理の高速化に関する検討

    杉浦 貴優, 出口 大輔, フォイヤーシュタイン・マルコ, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    日本コンピュータ外科学会誌 第17回日本コンピュータ外科学会大会特集号     page: 285-286   2008.10

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  1190. A Method for Accelerating Bronchoscope Tracking Based on Image Registration by GPGPU Reviewed

    Takamasa Sugiura, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Proc. of AMI-ARCS 2008     page: 130-139   2008.9

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  1191. Improvement of Accuracy of Marker-Free Bronchoscope Tracking Using Electromagnetic Tracker Based on Bronchial Branch Information Reviewed

    Kensaku Mori, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi, and Hirotsugu Takabatake

    Lecture Notes in Computer Science, MICCAI2008 Proceedings   Vol. 5242 ( Part II ) page: 535-542   2008.9

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  1192. Detecting Informative Frames from Wireless Capsule Endoscopic Video Using Color and Texture Features Reviewed

    Md. Khayrul Bashar, Kensaku Mori, Yasuhito Suenaga, Takayuki Kitasaka, and Yekada Mekada

    Lecture Notes in Computer Science, MICCAI2008 Proceedings   Vol. 5242 ( Part II ) page: 603-610   2008.9

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  1193. 神経内視鏡手術ナビゲーションのための磁気センサを利用した内視鏡カメラ位置姿勢推定に関する予備的検討

    蒋 振剛, 森 健策, 二村 幸孝, 北坂 孝幸, 末永 康仁, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也, 梶田 泰一, 若林 俊彦, 吉田 純

    電子情報通信学会技術研究報告   Vol. MI2008-44   page: 47-50   2008.9

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  1194. 仮想化内視鏡システムを用いた画像誘導手術支援の検討

    林 雄一郎, 森 健策, 藤井 正純, 伊藤 英治, 竹林 成典, 梶田 泰一, 水野 正明, 若林 俊彦, 吉田 純, 末永 康仁

    生体医工学シンポジウム2008講演予稿集     page: 46-50   2008.9

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  1195. Augmented display of anatomical names of bronchial branches for bronchoscopy assistance, Reviewed

    Shunsuke Ota, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori

    Lecture Notes in Computer Science   Vol. 5128   page: 377-384   2008.8

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  1196. GPUを用いた気管支鏡カメラ動き推定処理の高速化

    杉浦 貴優,出口 大輔,北坂 孝幸, 森 健策, 末永 康仁

    日本VR医学会第8回学術大会抄録集     page: 47   2008.8

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  1197. レベルセット法を用いた3次元腹部CT像からの下大静脈領域抽出

    森 浩起, チウン チュンズン, 北坂 孝幸, 森 健策, 末永 康仁, 三澤 一成, 藤原 道隆

    第27回日本医用画像工学会大会     page: B5-03   2008.8

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  1198. 神経軟性内視鏡手術ナビゲーションのための磁気センサ補正と評価

    蒋 振剛, 森 健策, 二村 幸孝, 北坂 孝幸, 末永 康仁, 林 雄一郎, 伊藤 英治, 藤井 正純, 永谷 哲也, 梶田 泰一, 吉田 純

    第27回日本医用画像工学会大会     page: B1-03   2008.8

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  1199. 3次元胸部CT像からの肺拡散能力推定手法

    北坂 孝幸, 後藤 圭吾, 森 健策, 末永 康仁, 本間裕敏,高畠博嗣,森雅樹,名取博

    第27回日本医用画像工学会大会     page: 22-25   2008.8

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  1200. GPUを用いた気管支鏡カメラ動き推定処理の高速化

    杉浦 貴優,出口 大輔,北坂 孝幸, 森 健策, 末永 康仁

    第27回日本医用画像工学会大会     page: B01-05   2008.8

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  1201. 仮想呼吸動に対するマーカレス気管支鏡追跡手法の性能評価

    出口 大輔, 石谷 和愛, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    第27回日本医用画像工学会大会     page: 24   2008.8

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  1202. 計算機支援医用画像診断のための共通基盤システムの開発

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    第27回日本医用画像工学会大会     page: B2-01   2008.8

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  1203. 手術計画支援のための患者固有情報を用いた腹腔鏡手術シミュレータの開発

    鬼頭 正和, チウン チュンズン, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    日本VR医学会第8回学術大会抄録集     page: 22-23   2008.8

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  1204. バーチャルサージスコープによる脳神経外科画像誘導手術支援

    林 雄一郎, 森 健策, 藤井正純, 梶田 泰一, 伊藤 英治, 竹林 茂典, 水野 正明, 若林 俊彦, 吉田 純, 末永 康仁

    日本VR医学会第8回学術大会抄録集     page: 37-38   2008.8

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  1205. 患者固有情報を用いた手術シュミレーション開発のためのレベルセット法を用いた下大静脈領域抽出

    森 浩起, チウン チュンズン, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    日本VR医学会第8回学術大会抄録集     page: 40   2008.8

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  1206. ディジタル残渣除去の不要な腸内残渣造影CT像からの大腸ポリープ検出手法 Reviewed

    小田 昌宏,北坂 孝幸,森 健策,末永 康仁,高山 哲治,高畠 博嗣,森 雅樹,名取 博,縄野 繁

    電子情報通信学会論文誌   Vol. 91-D ( 7 ) page: 1904-1913   2008.7

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  1207. 複数モデルの動的選択に基づく気管支枝名自動対応付け手法 Reviewed

    江間 慎弥,北坂 孝幸,森 健策,目加田 慶人,井手 一郎,村瀬 洋,末永 康仁,高畠 博嗣,森 雅樹,名取

    電子情報通信学会論文誌   Vol. 91-D ( 7 ) page: 1851-1861   2008.7

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  1208. 手術計画支援のための3次元CT像に基づく腹腔鏡手術シミュレータの構築

    鬼頭 正和, チウン チュンズン, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    電子情報通信学会技術研究報告   Vol. MI2008-28   page: 47-52   2008.7

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  1209. 局所濃淡構造解析による3次元腹部CT像からの大腸ひだ検出手法

    小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹, 名取 博, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2008-31   page: 59-64   2008.7

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  1210. 術中MRIの現在と未来

    藤井 正純, 前澤 聡, 森 健策, 林 雄一郎, 津坂 昌利, 梶田 泰一, 島戸 真司, 伊藤 聡, 中原 紀元, 渡辺 督, 若林 俊彦

    第8回日本脳神経外科術中画像研究会プログラム・抄録集     page: 12   2008.7

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  1211. 頭蓋底外科手術におけるVirtual navigation system

    伊藤 英治, 齋藤 清, 永谷 哲也, 藤井 正純, 竹林 成典, 森 健策, 林 雄一郎

    第20回記念 日本頭蓋底外科学会 プログラム・抄録集     page: 99   2008.7

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  1212. 想化内視鏡システムと内視鏡検査・手術支援 Invited

    森 健策,

    O PLUS E   Vol. 30 ( 6 ) page: 581-585   2008.6

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  1213. A method for extracting pancreas regions from four-phase contrasted 3D abdominal CT images

    Takayuki Kitasaka, Makiko Sakashita, Kensaku Mori, Yasuhito Suenaga, Shigeru Nawano

    International Journal of Computer Assisted Radiology and Surgery(CARS2008)   Vol. 3 ( 1 ) page: S40   2008.6

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  1214. Navigation-based computer-aided diagnosis system

    Kensaku Mori

    JICARS Session on Computer Aided Diagnosis     page: 9   2008.6

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  1215. An improved method for bronchoscope tracking using an electromagnetic tracker without fiducial markers

    Daisuke Deguchi, Kazuyoshi Ishitani, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi

    International Journal of Computer Assisted Radiology and Surgery(CARS2008)   Vol. 3 ( 1 ) page: S301   2008.6

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  1216. Automated anatomical labeling of bronchaial branches using multiple classifiers and its application to bronchoscopy guidance

    Shunsuke Ota, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    International Journal of Computer Assisted Radiology and Surgery(CARS2008)   Vol. 3 ( 1 ) page: S269   2008.6

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  1217. Haustral fold detection from 3D abdominal CT images for flat-shaped colonic polyp detection

    Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano

    International Journal of Computer Assisted Radiology and Surgery(CARS2008)   Vol. 3 ( 1 ) page: S194-S195   2008.6

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  1218. Fiducial-free bronchoscope tracking using ultra-tiny electromagnetic tracker based on non-rigid transformation technique

    Kensaku Mori, Kazuyoshi Ishitani, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi

    International Journal of Computer Assisted Radiology and Surgery(CARS2008)   Vol. 3 ( 1 ) page: S105   2008.6

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  1219. Virtual simulationによる内視鏡下経蝶形骨洞手術のアプローチ

    伊藤 英治, 永谷 哲也, 齋藤 清, 松平 哲史, 竹林 成典, 吉田 純, 森 健策, 林 雄一郎

    日本内分泌学会雑誌   Vol. 84   page: 134-136   2008.6

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  1220. Interactions of perceptual and conceptual processing: Expertise in medical image diagnosis Reviewed

    Junya Morita,Kazuhisa Miwa, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shingo Iwano, Mitsuru Ikeda, Takeo Ishigaki

    International Journal of Human-Computer Studies   Vol. 66   page: 370-390   2008.5

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  1221. PLUTO: 医用画像診断支援共通プラットフォーム Invited

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    MEDICAL IMAGING TECHNOLOGY   Vol. 26 ( 3 ) page: 187-191   2008.5

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  1222. 画像処理とコンピュータビジョンによる肺内ナビゲーション

    森 健策

    第48回 日本呼吸器学会学術講演会プログラム, 日本呼吸器学会雑誌   Vol. 46 ( S8-5 ) page: 30   2008.5

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  1223. GPU を利用した局所濃淡構造解析の高速化に関する検討

    二村 幸孝, 森 直史, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   Vol. MI2008-5   page: 25-30   2008.5

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  1224. 内視鏡検査・手術を支援する仮想化内視鏡システム

    森 健策

    第47回日本生体医工学会大会   Vol. OS-6-2   page: 150   2008.5

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  1225. Refraction-based 2D, 2.5D and 3D medical imaging: Stepping forward to a clinical trial Reviewed

    Masami Andoa, Hiroko Bandob, TokikoEndoc, Shu Ichihara, Eiko Hashimoto, Kazuyuki Hyodoe, Toshiyuki Kunisada, Gang Li, Anton Maksimenko, Kensaku Mori, Daisuke Shimao, Hiroshi Sugiyama, Tetsuya Yuasa, Ei Uenob

      Vol. 68 ( 3 ) page: 32-36   2008.4

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  1226. 次世代医療を担う最新映像技術 -ナビゲーション型知的診断支援システム- Invited

    森 健策,

    映像情報メディア学会誌   Vol. 62 ( 4 ) page: 488-492   2008.4

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  1227. 【展望】屈折原理にもとづくX線CTの医学応用

    市原 周, 安藤 正海, 森 健策, マクシメンコ アントン, 湯浅 哲也, 橋本 英子, 遠藤 登喜子

    ISOTOPE NEWS   Vol. 646   page: 2-7   2008.2

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  1228. Lung lobe and segmental lobe extraction from 3D chest CT datasets based on figure decomposition and Voronoi division

    Kensaku Mori, Yuichi Nakada, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Proceedings of SPIE   Vol. 6914   page: 69144K-1-12   2008.2

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  1229. Informative frame Detection from Wireless Capsule Video Endoscopic Images

    Md. Khayrul BASHAR Bashar, Kensaku Mori, Yasuhito Suenaga, Yoshito Mekada

    Proceedings of SPIE   Vol. 6914   page: 69142A-1-12   2008.2

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  1230. Extraction of teniae coli from CT volumes for assisting virtual colonoscopy

    Yuki Umemoto, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Tetsuji Takayama, and Hiroshi Natori

    Proceedings of SPIE   Vol. 6916   page: 69160D-1-10   2008.2

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  1231. Automated anatomical labeling of bronchial branches using multiple classifi ers and its application to bronchoscopy guidance based on fusion of virtual and real bronchoscopy

    Shunsuke Ota, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, K. Imaizumi, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Proceedings of SPIE   Vol. 6916   page: 69160G-1-12   2008.2

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  1232. Digital bowel cleansing free detection method of colonic polyp from fecal tagging CT images

    Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano

    Proceedings of SPIE   Vol. 6915   page: 69152H-1-10   2008.2

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  1233. A physically-based method for unfolding the stomach from 3D CT images

    TrungDung Truong, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging, CGIM 2008     page: 231-236   2008.2

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  1234. 3-D reconstruction and virtual ductoscopy of high-grade ductal carcinoma in situ of the breast with casting type calcifications using refraction-based X-ray CT

    Shu Ichihara, Masami Ando, Anton Maksimenko, Tetsuya Yuasa, Hiroshi Sugiyama, Eiko Hashimoto, Katsuhito Yamasaki, Kensaku Mori, Yoshinori Arai, Tokiko Endo

    Virchows Arch   Vol. 452 ( 1 ) page: 41-47   2008.1

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  1235. 4時相の3次元腹部CT像を用いた膵臓領域抽出手法の開発

    坂下 牧子, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2007-69   page: 35-42   2008.1

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  1236. 神経内視鏡手術ナビゲーションのための磁気センサ補正と評価

    蒋 振剛, 森 健策, 二村 幸孝, 北坂 孝幸, 末永 康仁, 林 雄一郎, 伊藤 英治, 藤井 正純, 梶田 泰一, 永谷 哲也, 吉田 純

    電子情報通信学会技術研究報告   Vol. MI2007-68   page: 211-218   2008.1

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  1237. 気管支の変形に対応したマーカレス気管支鏡追跡手法に関する検討

    石谷 和愛, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    電子情報通信学会技術研究報告   Vol. MI2007-68   page: 29-34   2008.1

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  1238. 磁気式位置センサを用いたマーカレス気管支鏡位置追跡手法の精度改善に関する検討

    出口 大輔, 石谷 和愛, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    電子情報通信学会技術研究報告   Vol. MI2007-141   page: 423-429   2008.1

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  1239. Virtual Colonoscopy

    森 健策

    CADM News Letter   Vol. 52   page: 4-5   2008.1

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  1240. CAD最前線2007 Ⅱ 計画研究の成果 3. 実時間検査支援とモダリティ融合CAD 知的CADとしてのナビゲーション診断システムの開発 - Navl-CADの構想と実現

    森 健策, 北坂 孝幸, 末永 康仁

    INNERVISIONインナービション   Vol. 22 ( 12 ) page: 31-35   2007.12

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  1241. CAD最前線2007 Ⅲ 統合化システム 多臓器・多疾病医用画像診断支援システム「PLUTO」

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策

    INNERVISIONインナービション   Vol. 22 ( 12 ) page: 45-48   2007.12

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  1242. 神経内視鏡手術における仮想ナビゲーションシステムの開発

    伊藤 英治, 永谷 哲也, 齋藤 清, 藤井 正純, 竹林 成典, 吉田 純, 森 健策, 林 雄一郎

    第14回 日本神経内視鏡学会 プログラム・抄録集     page: 88   2007.12

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  1243. Vitual Colonoscopy - 仮想化大腸鏡,

    森 健策

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 3-4   2007.11

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  1244. Lymph-CAD: A CAD System for Supporting Lymph Node Diagnosis on CT and PET Images

    Kensaku Mori, Yoshihiko Nakamura, Takayuki Kitasaka, Yasuhito Suenaga, Shigeru Nawano, Masaaki Ito

    RSNA Scientific Assembly and Annual Meeting Program 2007     page: 837   2007.11

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  1245. 3次元胸部X線CT像からの肺拡散能力推定手法の開発

    後藤 圭吾, 北坂 孝幸, 森 健策, 末永 康仁, 本間 裕敏,高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2007-56   page: 37-42   2007.11

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  1246. 3次元胸部X線CT像解析に基づく肺拡散能力推定手法の開発

    後藤 圭吾, 北坂 孝幸, 森 健策, 末永 康仁, 本間 裕敏, 高畠 博嗣, 森 雅樹, 名取 博

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 251-252   2007.11

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  1247. 磁気式位置センサを用いたマーカレス気管支鏡位置追跡手法の改善

    出口 大輔, 石谷 和愛, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 133-134   2007.11

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  1248. 気管支鏡ナビゲーションシステムのための磁気式位置センサと気管支鏡カメラの対応付け手法に関する検討

    石谷 和愛, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 今泉 和良, 長谷川 好規

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 131-132   2007.11

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  1249. 複数時相の造影3次元CT像を用いた腹腔鏡下胃切除術支援画像の作成手法

    林 雄一郎, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 179-180   2007.11

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  1250. 実人体3次元CT像に基づく手術シュミレーションのための四面体モデル高速自動生成法の開発

    チウン チュンズン, 北坂 孝幸, 森 健策, 末永 康仁

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 189-190   2007.11

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  1251. 3次元CT像から抽出された腹部動脈に対する血管名自動対応付けに関する検討

    篠田 多郎, 北坂 孝幸, 森 健策, 末永 康仁, 三澤 一成, 藤原 道隆

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 229-230   2007.11

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  1252. 4時相の3次元腹部CT像を用いた膵臓領域抽出手法の検討

    坂下 牧子, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 231-232   2007.11

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  1253. 局所濃淡構造解析によるデジタル残渣除法の不要な腸内残渣造影CT像からの大腸ポリープ検出手法

    小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹, 名取 博, 縄野 繁

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 235-236   2007.11

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  1254. 伸展固定肺MCTにおける3次元CT像の表示法に関する検討

    高畠 博嗣, 本間 裕敏, 高山 哲治, 森 雅樹, 森 健策, 名取 博, 神 繁樹, 海老 沼孝郎, 成田 英夫

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 241-242   2007.11

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  1255. 複数の識別器の利用による気管支枝名自動対応付け手法に関する検討

    太田 峻輔, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 長谷川 好規, 今泉 和良, 高畠 博嗣, 森 雅樹, 名取 博

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 249-250   2007.11

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  1256. 脳神経外科手術ナビゲーションのための術前・術中画像における非線形レジストレーション手法の検討

    東郷 高浩, 北坂 孝幸, 森 健策, 末永 康仁, 林 雄一郎, 藤井 正純, 吉田 純

    16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 103-104   2007.11

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  1257. 三次元CT像に基づく腹腔鏡および鉗子操作シミュレーションの構築

    鬼頭 正和, チウン チュンズン, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会合同論文集     page: 77-78   2007.11

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  1258. 放射光利用医療開発の最前線…乳がん・関節軟骨異常早期発見に向けた試み…

    安藤 正海, 市原 周, 植野 映, 遠藤 登喜子, 国定 俊之, 島雄 大介, 杉山 弘, マクシメンコ アントン, 湯浅 哲也, 森 健策

    日本放射線技術学会誌   Vol. 646   page: 20-25   2007.10

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  1259. Automated Extraction of Lymph Nodes from 3-D Abdominal CT Images Using 3-D Minimum Directional Difference Filter

    Takayuki Kitasaka, Yukihiro Tsujimura, Yoshihiko Nakamura, Kensaku Mori, Yasuhito Suenaga, Masaaki Ito, and Shigeru Nawano

    Medical Image Computing and Computer-Assisted Intervention - MICCAI2007 Proceedings   Vol. LNCS 47921 ( Part II ) page: 336-343   2007.10

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  1260. Bronchoscope Tracking Without Fiducial Markers Using Ultra-tiny Electromagnetic Tracking System and Its Evaluation in Different Environments

    Kensaku Mori, Daisuke Deguchi, Kazuyoshi Ishitani, Takayuki Kitasaka, Yasuhito Suenaga, Yoshinori Hasegawa, Kazuyoshi Imaizumi, and Hirotsugu Takabatake

    Medical Image Computing and Computer-Assisted Intervention - MICCAI2007 Proceedings   Vol. LNCS 47921 ( Part II ) page: 644-651   2007.10

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  1261. 仮想化内視鏡を核とした最新画像診断支援・画像誘導手術システム

    森 健策

    第35回日本放射線技術学会秋季学術大会     page: 33-34   2007.10

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  1262. 医用画像診断支援共通プラットフォームの開発と今後の展望,'' 第13回 ビジュアリゼーションカンファレンス「日本から世界へ発信する‘見える化’文化の創造」

    森 健策

    可視化情報学会, 第13回ビジュアリゼーションカンファレンス予稿集, 可視化情報   Vol. 27 ( 3 ) page: 1-2   2007.10

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  1263. Virtual Endoscopic Navigation and Simulation for Chest and Abdomen

    Kensaku Mori

    Joint JSPS-SNSF Seminar on COMPUTER-AIDED SURGERY     page: 60-61   2007.9

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  1264. 気管支木構造解析に基づく肺区域分けの一手法

    北坂 孝幸, 中田 有一, 森 健策, 末永 康仁, 本間 裕敏,高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2007-40   page: 29-32   2007.9

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  1265. ボクセル集合からの四面体モデル生成の線形計算量アルゴリズム

    チウン チュンズン, 北坂 孝幸, 森 健策, 末永 康仁

    第6回情報科学技術フォーラム(FIT2007) 予稿集   Vol. LG-006   page: 205-208   2007.9

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  1266. 手術計画支援のための腹腔鏡及び鉗子操作シミュレータの構築

    鬼頭 正和, チウン チュンズン, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    第7回日本VR医学会学術大会抄録集     page: 31   2007.9

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  1267. 2時相の3次元CT像を用いた腹腔鏡下胃切除術支援画像の生成

    林 雄一郎, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    第7回日本VR医学会学術大会抄録集     page: 19   2007.9

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  1268. 新しい医療のための画像処理技術

    末永 康仁, 森 健策

    電子情報通信学会誌   Vol. 90 ( 8 ) page: 642-650   2007.8

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  1269. 講座 画像診断 CT画像のCADシステム ③バーチャルブロンコスコピーによる胸部の画像診断と気管支鏡ナビゲーション

    森 健策

    呼吸   Vol. 26 ( 7 ) page: 635-643   2007.7

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  1270. 3次元腹部X線CT像を用いた結腸ひも抽出手法

    梅本 祐樹, 小田 昌宏, 北坂 孝幸, 森 健策, 林 雄一郎, 末永 康仁, 高山 哲治, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2007-33   page: 29-34   2007.7

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  1271. 講座 画像診断 CT画像のCADシステム ③バーチャルブロンコスコピーによる胸部の画像診断と気管支鏡ナビゲーション

    森 健策

    呼吸   Vol. 26 ( 7 )   2007.7

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  1272. 局所濃淡構造処理を用いた腹部X線CT像からのリンパ節抽出手法の検討

    中村 嘉彦, 辻村 幸弘, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    第26回日本医用画像工学会大会     page: C6-1   2007.7

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  1273. 3次元腹部X線CT像からの大腸ひだならびに結腸ひも抽出に関する検討

    梅本 祐樹, 北坂 孝幸, 森 健策, 末永 康仁, 名取 博, 高山 哲治

    第26回日本医用画像工学会大会     page: C6-2   2007.7

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  1274. 仮想気腹に基づく腹腔鏡手術シミュレータの開発 - 第一報

    鬼頭 正和, 森 健策, 北坂 孝幸, 末永 康仁, 三澤 一成, 藤原 道隆

    第26回日本医用画像工学会大会     page: C1-4   2007.7

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  1275. Colonic polyp detection method from 3D abdominal CT images based on local intensity analysis

    Masahiro Oda, Yuichi Nakada, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Shigeru Nawano

    International Journal of Computer Assisted Radiology and Surgery(CARS2007)   Vol. 2 ( 1 ) page: S376-S378   2007.6

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  1276. Automated extraction of lymph nodes from 3D abdominal CT images by using 3-D minimum directional difference filter

    Kensaku Mori, Yukihiro Tujimura, Yoshihiko Nakamura, Takayuki Kitasaka, Yasuhito Suenaga, Masaaki Ito, Shigeru Nawano

    International Journal of Computer Assisted Radiology and Surgery(CARS2007)   Vol. 2 ( 1 ) page: S451   2007.6

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  1277. A method for extracting Lung lobe regions from 3D chest X-ray CT images based on 3D figure decomposition approach

    Kensaku Mori, Yuuichi Nakada, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Hiroshi Natori, Masaki Mori

    International Journal of Computer Assisted Radiology and Surgery(CARS2007)   Vol. 2 ( 1 ) page: S89-S91   2007.6

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  1278. A method for bronchoscope tracking using position sensor without fiducial markers

    Daisuke Deguchi, Kazuyoshi Ishitani, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Yoshinori Hasegawa, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori

    International Journal of Computer Assisted Radiology and Surgery(CARS2007)   Vol. 2 ( 1 ) page: S11-S13   2007.6

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  1279. *Quantification and Visualization of Alveolar Bone Resorption from 3D Dental CT Images, Reviewed

    Jiro Nagao, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga, Shohzoh Yamada, Munetaka Naitoh

      Vol. 2 ( 1 ) page: 43-53   2007.6

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  1280. Intelligent Virtual Bronschoscopy System as an Aid for Real Bronchoscopic Examination

    Hiroshi Natori,Masaki Mori, Hirotsugu Takabatake, H. Homma, Kensaku Mori, Takayuki Kitasaka

    AMERICAN JOURNAL OF Respiratory and Critical Care Medicine   Vol. 175   2007.5

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  1281. 3次元胸部CT像からの肺葉分割手法の改善

    北坂 孝幸, 中田 有一, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2007-5   page: 23-28   2007.5

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  1282. 分岐特徴を利用した気管支鏡誘導システムのための観察部位特定手法の改善

    篠原 里代子, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. PRMU2006-281   page: 155-160   2007.3

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  1283. 3次元胸部CT像から抽出された肺野領域の葉分割手法とその気管支葉分類手法への適用 Reviewed

    中田 有一, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣,森 雅樹,名取 博

    MEDICAL IMAGING TECHNOLOGY   Vol. 25 ( 2 ) page: 111-120   2007.3

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  1284. CT 値分布推定による4 時相腹部3 次元CT 像からの複数臓器領域の抽出手法の改善

    坂下 牧子,北坂 孝幸,森 健策,末永 康仁, 縄野 繁

    電子情報通信学会2007年総合大会講演論文集     page: 289   2007.3

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  1285. 3次元腹部CT 像からのリンパ節検出に関する検討

    辻村 幸弘, 中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    電子情報通信学会2007年総合大会講演論文集     page: 288   2007.3

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  1286. 局所濃淡構造を用いた3次元腹部X線CT像からのリンパ節抽出

    中村 嘉彦, 辻村 幸弘, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    電子情報通信学会2007年総合大会講演論文集     page: 287   2007.3

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  1287. ディジタル図形分割に基づく3次元胸部CT像からの肺葉領域抽出

    中田 有一,北坂 孝幸,森 健策,末永 康仁,高畠 博嗣,森 雅樹,名取 博

    電子情報通信学会2007年総合大会講演論文集     page: 286   2007.3

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  1288. Virtual navigation from trachea to bronchiolo-alveolar space in thelung Reviewed

    Hiroshi Natori,Masaki Mori, Hirotsugu Takabatake, H. Koba, H. Homma, Takayuki Kitasaka, Kensaku Mori

    European Congress of Radiology(ECR)20   Vol. 07-P-1709-ECR   2007.3

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  1289. 腹部領域血管に対する解剖学的名称自動対応付けに関する予備的検討

    篠田 多郎, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会2007年総合大会講演論文集     page: 284   2007.3

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  1290. 3次元X線CT像における気管支断面積計測に関する検討

    後藤 圭吾, 北坂 孝幸, 森 策, 末永 康仁, 高畠 嗣 森 雅樹, 名取 博

    電子情報通信学会2007年総合大会講演論文集     page: 285   2007.3

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  1291. A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm

    Makiko Sakashita, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, and Shigeru Nawano

    Proceedings of SPIE   Vol. 6514   page: 1C-1~1C-12   2007.2

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  1292. A new method for detecting colonic polyps based on local intensity structure analysis from 3D abdominal CT images

    Masahiro Oda, Yuichi Nakada, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Shigeru Nawano

    Proceedings of SPIE   Vol. 6514   page: 2l-1~2l-12   2007.2

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  1293. Compensation of Electromagnetic trackintg system using an optical tracker and its application to bronchoscopy navigation system Reviewed

    Kensaku Mori, Kazuyoshi Ishitani, Deguchi Daisuke, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori

    Proceedings of SPIE   Vol. 6509   page: pp.0M-1~0M-12   2007.2

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  1294. A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm, Reviewed

    Makiko Sakashita, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, and Shigeru Nawano

    Proceedings of SPIE   Vol. 6514   page: 1C-1 - 1C-12   2007.2

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  1295. Easy and stable bronchoscope camera calibration technique for bronchoscope navigation system Reviewed

    Kazuyoshi Ishitani, Deguchi Daisuke, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Nator

    Proceedings of SPIE   Vol. 6509   page: II-1~II-12   2007.2

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  1296. 安定した画像変形に基づく管腔臓器の仮想展開像生成法の改善

    チウン チュンズン, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会論文誌   Vol. Vol.J90-D ( 1 ) page: 138-151   2007.1

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  1297. 並列型画像処理ライブラリの高効率化

    平野 靖, 高橋 友和, 北坂 孝幸, 伊野 文彦, 森 健策, 萩原 兼一, 末永 康仁

    電子情報通信学会技術研究報告   Vol. MI2006-87   page: 17-20   2007.1

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  1298. 3次元腹部CT像に基づいた腹腔鏡下手術支援のためのVascular Navigation Systemの検討

    井上 努, 中村 嘉彦, 森 健策, 北坂 孝幸, 林 雄一郎, 末永 康仁, 伊藤 雅昭, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2006-120   page: 137-140   2007.1

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  1299. 3次元腹部X線CT像からの局所濃淡構造解析を用いた血管領域およびリンパ節抽出手法の検討

    中村 嘉彦, 辻村 幸弘, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2006-176   page: 73-76   2007.1

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  1300. 特集 3次元画像による手術支援 医用3次元画像の基礎と応用 Reviewed

    森 健策

    外科   Vol. 69 ( 1 ) page: 1-26   2007.1

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  1301. 3次元画像処理による歯槽骨吸収の深さ自動計測法 Reviewed

    長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田 章三, 内藤 宗孝

    MEDICAL IMAGING TECHNOLOGY   Vol. 25 ( 1 ) page: 38-47   2007.1

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  1302. Three-Dimensional Display with Quantitative Analysis in Alveolar Bone Resorption Using Cone-Beam Computerized Tomography for Dental Use: A Preliminary Study Reviewed

    Munetaka Naitoh, Shohzoh Yamada, Toshihide Noguchi, Eiichiro Ariji, Jiro Nagao, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga

    International Journal of Periodontics and Restorative Dentistry   Vol. 26 ( 6 ) page: 607-612   2006.12

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  1303. バーチャルコロノスコピー

    森健策

    第26 回医療情報学連合大会プログラム・抄録集     page: 128–129   2006.11

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  1304. 大腸仮想展開像生成における歪み軽減手法に関する検討 Reviewed

    小田 昌宏, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    MEDICAL IMAGING TECHNOLOGY   Vol. 24 ( 5 ) page: 419-428   2006.11

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  1305. 医用画像処理に基づく内視鏡下手術シミュレーション

    森 健策

    第5回日本コンピュータ外科学会教育セミナー-生体シミュレーションの基礎と応用-(第15回日本コンピュータ外科学会大会併催), 日本コンピュータ外科学会誌   Vol. 8 ( 2 ) page: 65-70   2006.10

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    Language:Japanese  

  1306. Bronchoscope Tracking Based on Image Registration Using Multiple Initial Starting Points Estimated by Motion Prediction

    Kensaku Mori, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori,Calvin R.Maurer Jr.

    Medical Image Computing and Computer-Assisted Intervention - MICCAI2006 Proceedings, 9th International Conference   Vol. LNCS 4191 ( Part II ) page: 645-652   2006.10

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  1307. A preliminary study on introduction of a magnetic tracking sensor for bronchoscope navigation system

    Kazuyoshi Ishitani, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Proceedings of International Workshop on Augmented environments for Medical Imaging and Computer-aided Surgery 2006   Vol. AMI-ARCS 2006   2006.10

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  1308. 仮想化人体と医用画像診断支援―ナビゲーション型診断支援システム― Invited

    森 健策

    電子情報通信学会誌   Vol. 59 ( 10 ) page: 884-888   2006.10

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    ナビゲーション型知的画像診断支援システムと呼ばれる新しい医用画像診断支援システムの形態について述べた論文である。之までの筆者の研究成果を基に、新しい医用画像診断支援システムはどのようにあるべきかを議論している。

  1309. 高精細胸部CT像からのすりガラス影検出に関する基礎的検討

    北坂 孝幸,本村 可奈子,平野 靖,森 健策,末永 康仁,岡田 徹,岩野 信吾

    平成18年度日本生体医工学会東海支部学術集会     page: 9   2006.10

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  1310. 医用画像処理に基づく内視鏡下手術シミュレーション -生体シミュレーションの基礎と応用-

    森 健策

    日本コンピュータ外科学会誌   Vol. 8 ( 2 ) page: 65-70   2006.10

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  1311. 超小型磁気式位置センサを用いたマーカレス気管支鏡位置追跡手法

    出口 大輔, 石谷 和愛, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹,名取 博

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 161-162   2006.10

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  1312. 気管支鏡誘導システムのための固有空間画像照合法を用いた気管支鏡観察部位推定法に関する検討

    篠原 里代子, 出口 大輔,北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹,名取 博

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 59-60   2006.10

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  1313. 複数時相の3次元CT像を用いた複数臓器抽出による腹腔鏡下胃切除術支援画像の生成

    林 雄一郎, 森 健策, 末永 康仁, 三澤 一成, 藤原 道隆

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 113-114   2006.10

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  1314. 簡便な気管支鏡カメラキャリブレーション手法に関する検討

    石谷 和愛, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹,名取 博

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 143-144   2006.10

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  1315. 3次元腹部CT像を用いた腹腔鏡下手術支援のためのVascular Navigation Systemの検討

    井上 努, 中村 嘉彦, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 173-174   2006.10

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  1316. 図形分割に基づく肺分割手法とそのナビゲーション診断への応用

    中田 有一, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹,名取 博

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 257-258   2006.10

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  1317. 多臓器・多疾病のための統合型ソフトウェアフレームワークの開発

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 259-260   2006.10

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  1318. 局所濃淡構造情報を用いた3次元腹部CT像からの大腸ポリープ検出手法

    小田 昌宏, 中田 有一, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹,名取 博, 縄野 繁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 275-276   2006.10

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  1319. HRCT像における含気型結節の分類手法に関する検討

    北坂 孝幸, 本村 可奈子, 平野 靖, 森 健策, 末永 康仁, 岡田 徹, 岩野 信吾

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 295-296   2006.10

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  1320. 肺手術支援のための3次元CT像の表示法に関する検討

    高畠 博嗣, 本間 裕敏, 高山 哲治, 森 雅樹, 森 健策, 名取 博

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 297-298   2006.10

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  1321. 3次元並列型画像処理ライブラリの構築とその性能評価

    平野 靖, 出口 大輔, 高橋 友和, 北坂 孝幸, 伊藤 文彦, 森 健策, 萩原 兼一, 末永 康仁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 313-314   2006.10

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  1322. 多次元医用画像の知的診断支援-統合システムの開発-

    二村 幸孝, 森 健策, 末永 康仁, 木戸 尚治, 清水 昭伸, 小畑 秀文

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 335-336   2006.10

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  1323. 早期相と晩期相の3次元CT像を用いた肝細胞がん検出手法の開発

    林 雄一郎, 出口 大輔, 北坂 孝幸, 森 健策, 目加田 慶人, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 323-324   2006.10

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  1324. Navi-CAD-ナビゲーション型知的CADシステム

    森 健策, 北坂 孝幸, 末永 康仁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 341-342   2006.10

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  1325. 3次元腹部X線CT像からのリンパ節抽出における過抽出削減手法の改善

    辻村 幸弘, 中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 伊藤 雅昭, 縄野 繁

    第15回日本コンピュータ外科学会大会・第16回コンピュータ支援画像診断学会大会合同論文集     page: 325-326   2006.10

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  1326. 超小型位置センサを用いたマーカレス気管支鏡位置追跡手法に関する検討

    出口 大輔, 石谷 和愛, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2006-52   page: 17-22   2006.9

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  1327. 講演3:外科解剖のための気管・消化管仮想内視鏡画像

    森 健策

    2006FIT 第5回情報科学技術フォーラム     page: 口頭発表   2006.9

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  1328. 3次元腹部X線CT像からのリンパ節抽出に関する検討

    辻村 幸弘, 中村 嘉彦, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2006-53   page: 23-28   2006.9

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  1329. 2時相の3次元CT像を用いた肝臓がん検出手法に関する検討

    林 雄一郎, 出口 大輔, 北坂 孝幸, 森 健策, 目加田 慶人, 末永 康仁, 鳥脇 純一郎, 縄野 繁

    電子情報通信学会技術研究報告   Vol. MI2006-67   page: 41-46   2006.9

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  1330. 気管支鏡ナビゲーションシステムにおける簡便なカメラキャリブレーション手法に関する検討

    石谷 和愛, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. MI2006-51   page: 11-16   2006.9

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  1331. 所濃淡構造解析による3次元腹部CT像からの大腸ポリープ検出手法

    中田 有一, 小田 昌宏, 北坂 孝幸, 森 健策, 末永 康仁, 高山 哲治, 高畠 博嗣, 森 雅樹, 名取 博, 縄 野繁

    電子情報通信学会技術研究報告   Vol. MI2006-68   page: 47-52   2006.9

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  1332. Recognition of lung lobes and its application to the bronchial structure analysis

    Takayuki Kitasaka, Yuichi Nakada, Kensaku Mori, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori,

    Proceedings of 18th International Conference on Pattern Recognition     page: C02_0337   2006.8

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  1333. 知的CADとしてのナビゲーション診断支援システムの開発 Invited

    森 健策

    INNERVISION   Vol. 21 ( 8 ) page: 88   2006.8

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  1334. CT値分布推定を用いた4時相腹部3次元CT像からの複数臓器領域の抽出手法

    坂下 牧子, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   Vol. MI2006-48   page: 49-54   2006.7

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  1335. Navigation-based Intelligent Computer Aided Diagnosis (NavI-CAD) and Multi-organ and Multi-disease CAD (Pluto)

    Kensaku Mori

    Proceedings of The 2nd International Symposium on Intelligent Assistance in Diagnosis of Multi-Dimensional Medical Images     page: 64-77   2006.7

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  1336. 大規模実世界データベース構築のための多元多点計測装置の開発

    藤井 俊彰, 森 健策, 武田 一哉, 間瀬 健二, 谷本 正幸, 末永康仁

    3次元画像コンファレンス2006 -3D Image Conference 2006-     page: 3-1   2006.7

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  1337. 3次元腹部X線CT像からのリンパ節の抽出に関する基礎的検討

    辻村 幸弘, 中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    第25回日本医用画像工学会大会     page: OP13-6   2006.7

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  1338. CT値分布推定を用いた4時相腹部3次元CT像からの複数臓器領域の抽出

    坂下 牧子, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    第25回日本医用画像工学会大会     page: OP13-5   2006.7

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  1339. 気管支鏡ナビゲーションシステムにおける磁気式位置センサ導入に関する検討

    石谷和愛, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    第25回日本医用画像工学会大会     page: OP12-1   2006.7

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  1340. 図形分割を用いた胸部CT像における肺葉抽出手法の検討

    中田 有一, 北坂 孝幸, 森 健策, 末永 康仁

    第25回日本医用画像工学会大会     page: OP8-3   2006.7

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  1341. 多臓器・多疾病を対象とする統合型診断支援システムの開発

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    第25回日本医用画像工学会大会     page: OP13-7   2006.7

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  1342. 脳神経外科領域におけるバーチャルナビゲーションシステム

    森 健策

    第18回日本頭蓋底外科学会     page: 63   2006.7

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  1343. 3次元画像処理による歯槽骨吸収の深さ自動計測法

    長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田章三, 内藤宗孝

    第25回日本医用画像工学会大会     page: OP3-1   2006.7

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  1344. A study on quantification of inter-radicular resorption by 3-D dental CT images

    Jiro Nagao, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga, Shohzoh Yamada, Munetaka Naitoh

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 395-396   2006.6

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  1345. 医用画像処理の最前線

    森 健策

    第1回「小型シンクロトロン光実験施設と光科学ナノファクトリーへの展開に関する研究会」     page: 予稿集なし   2006.6

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  1346. Colon NavI-CAD: a navigation-based intelligent CAD system

    Kensaku Mori

    Computer Assisted Radiology and Surgery (CARS2006)     page: 招待講演につき講演予稿集なし   2006.6

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  1347. Simulation of Stomach Specimens Generation Based on Deformation of Preoperative CT Images

    TrungDung Truong, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Biomedical Simulation, Third International Symposium, ISBMS 2006     page: 178-187   2006.6

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  1348. Detection of liver cancer regions from dynamic CT images

    Yuichiro Hayashi, Daisuke Deguchi, Takayuki Kitasaka, Kensaku Mori, Yoshito Mekada, Yasuhito Suenaga

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 524-525   2006.6

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  1349. A study on blood vessel segmentation and lymph node detection from 3D abdominal X-ray CT images

    Yoshihiko Nakamura, Yukihiro Tsujimura, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shigeru Nawano

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 381-382   2006.6

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  1350. An improved method for generating less-distorted virtual unfolded views of the colon for CT colonography

    Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 373-375   2006.6

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  1351. A method for detecting and analyzing emphysema from 3D chest CT images

    Takayuki Kitasaka, Kouji Ishihara, Kensaku Mori, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 360-362   2006.6

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  1352. Image-based bronchoscope tracking using motion predication and multiple searches

    Kensaku Mori, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 178-181   2006.6

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  1353. Evaluation of unfolded views generation method based on organ flatness and luminal surface reproduction rate

    TrungDung Truong, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Computer Assisted Radiology and Surgery (CARS2006) 20th International Congress and Exhibition   Vol. 1 ( 1 ) page: 32-34   2006.6

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  1354. NavI-CAD : 知的ナビゲーション診断支援システム Invited

    森 健策

    MEDICAL IMAGING TECHNOLOGY   Vol. 24 ( 3 ) page: 173-180   2006.5

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  1355. 仮想化気管支鏡における枝名の自動命名:分岐パターンによって生成される気管支モデル

    森 雅樹, 高畠 博嗣, 名取 博, 森 健策

    日本呼吸器内視鏡学会雑誌 気管支学 (第29回日本呼吸器内視鏡学会学術集会)   Vol. 28 ( 3 ) page: 187   2006.5

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  1356. 画像間位置合わせ処理を利用した気管支鏡ナビゲーションシステムの開発

    森 健策, 北坂 孝幸, 出口 大輔, 高畠 博嗣, 森 雅樹, 名取 博, 末永 康仁

    日本呼吸器内視鏡学会雑誌 気管支学 (第29回日本呼吸器内視鏡学会学術集会)   Vol. 28 ( 3 ) page: 187   2006.5

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  1357. 径気管支的肺生検用ナビゲーション・システムの可能性

    高畠 博嗣, 森 雅樹, 名取 博, 森 健策

    本呼吸器内視鏡学会雑誌 気管支学 (第29回日本呼吸器内視鏡学会学術集会)   Vol. 28 ( 3 ) page: 187   2006.5

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  1358. *A method for bronchoscope tracking by combining a position sensor and image registration Reviewed

    Daisuke Deguchi, Kenta Akiyama, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga, Calvin R Maurer Jr, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Computer Aided Surgery   Vol. 11 ( 3 ) page: 109-117   2006.5

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  1359. 仮想化人体の可視化・変形に基づくCAD

    森 健策

    MEDICAL IMAGING TECHNOLOGY   Vol. 24 ( 2 ) page: 75-81   2006.3

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  1360. 固有空間画像照合法を用いた気管支鏡ナビゲーションのための\観察部位識別法に関する検討

    篠原 里代子, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   Vol. PRMU2005-288   page: 189-194   2006.3

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    Language:Japanese  

  1361. Automated labelling system for bronchial branches for intelligent virtual bronchoscopic navigation

    Hiroshi Natori, Masaki Mori, Hirotsugu Takabatake, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga and Jun-ichiro Toriwaki

    European Congress of Radiology(ECR 2006)   Vol. ECR 2006   2006.3

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  1362. 単眼動画像解析と静力学に基づく脊椎姿勢推定法と椎骨負荷解析法

    古川 大介, 北坂 孝幸,森 健策,末永 康仁,平野 靖, 間瀬 健二, 高橋 友一

    日本コンピュータ外科学会誌   Vol. 7 ( 4 ) page: 547-557   2006.3

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  1363. 3次元X線CT像におけるVascular Navigation systemの基礎的検討

    井上 努, 中村 嘉彦, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    電子情報通信学会2006総合大会     page: D-16-13   2006.3

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  1364. 多元多点計測装置の開発 ―カメラアレイとマイクロフォンアレイ―

    藤井俊彰 森健策 武田一哉 間瀬健二 谷本正幸 末永康仁

    電子情報通信学会2006総合大会     page: D-11-66   2006.3

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  1365. Branch identification method for CT-guided bronchoscopy based on eigenspace image matching between real and virtual bronchoscopic images

    Riyoko Shinohara, Kensaku Mori, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori and Hiroshi Natori

    Proceedings of SPIE, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images   Vol. 6143   page: 614314-1--12   2006.2

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  1366. Three-dimensional analysis of alveolar bone resorption by image processing of 3D dental CT images

    Jiro Nagao, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shohzoh Yamada and Munetaka Naitoh

    Proceedings of SPIE, Medical Imaging 2006: Image Processing   Vol. 6144   page: 61441I-1--12   2006.2

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  1367. A method for generating virtual unfolded view of colon using spring model

    Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori and Yasuhito Suenaga

    Proceedings of SPIE, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images   Vol. 6143   page: 61431C-1--12   2006.2

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  1368. Fast and accurate tract unfolding based on stable volumetric image deformation

    TrungDung Truong, Takayuki Kitasaka, Kensaku Mori and Yasuhito Suenaga

    Proceedings of SPIE, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images   Vol. 6143   page: 614317-1--12   2006.2

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  1369. Development of a Virtual Needle Biopsy Simulation System for the Virtual Prostate

    Daisuke Deguchi, Kensaku Mori, Yoshito Mekada, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, and Masanori Noguchi

    System and Computers in Japan   Vol. 37 ( 1 ) page: 93-104   2006.1

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  1370. 次元並列型画像処理ライブラリ開発における基礎的検討

    平野靖, 高橋友和, 北坂孝幸, 伊野文彦, 森健策, 萩原兼一, 末永康仁

    電子情報通信学会技術研究報告   Vol. MI2005-116   page: 33-36   2006.1

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  1371. 非剛体レジストレーションを利用した胸部CT像における経時画像間の肺結節の対応付けに関する検討

    福井雅之, 北坂孝幸, 森健策, 末永康仁, 目加田慶人, 森雅樹, 高畠博嗣, 名取博

    電子情報通信学会技術研究報告   Vol. MI2005-139   page: 125-128   2006.1

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  1372. 歯科用3 次元CT像を用いた歯槽骨吸収測定手法の開発とその評価

    長尾慈郎, 森健策, 北坂孝幸, 末永康仁, 山田章三, 内藤宗孝

    電子情報通信学会技術研究報告   Vol. MI2005-119   page: 45-48   2006.1

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  1373. 多時相CT像からのCT値の確率分布推定に基づく肝臓領域抽出

    出口 大輔,林 雄一郎, 北坂 孝幸,森 健策,目加田 慶人,末永 康仁,長谷川 純一,鳥脇 純一郎

    コンピュータ支援画像診断学会   Vol. 9 ( 4 ) page: 36-48   2006.1

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  1374. 医療画像処理技術の基礎と応用 -術中ナビゲーションのための仮想化内視鏡像の生成と実人体情報との融合-

    森 健策

    ロボット工学セミナー(第33回シンポジウム) 未来医療を切り開くRT~基礎から臨床最前線~(社団法人 日本ロボット学会)     page: 31-45   2005.12

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  1375. 医用画像ナビゲーション診断支援技術 -仮想化内視鏡からNavI-CADまで-

    森 健策

    INNERVISION   Vol. 20 ( 13 ) page: 56-62   2005.12

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  1376. Synchronized Demonstration of Virtual Bronchoscopic Images with Real Bronchovideoscopic Images

    Hirotsugu Takabatake, Daisuke Deguchi, Masaki Mori, Hiroshi Natori, Kensaku Mori, Takayuki Kitasaka

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2005     page: 865   2005.12

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  1377. Virtual Microscopic Navigation of Peripheral Pulmonary Structures: Microfocused Cone-beam CT of Inflated and Fixed Lung Specimens

    Hiroshi Natori, Hirotsugu Takabatake, Masaki Mori, Kensaku Mori, Yoshiaki Sato, H Koba

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2008     page: 749   2005.12

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  1378. Colon Navi-CAD :A Nvigation-based Computer Aided Diagnosis System for CT Colonography Based on Seamless Integration of Virtual Stretched Views and Automated Polyps Detection

    Kensaku Mori, Masahiro Oda, Yasuhito Suenaga, Takayuki Kitasaka, Yuichiro Hayashi and Shigeru Nawano

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2007     page: 853   2005.12

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  1379. Virtual Navigator for Bronchoscopic Examinations: Automated Demonstration of Bronchial Paths for Targeting Peripheral Small Nodules of the Lung

    Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, Takayuki Kitasaka, Jiro Nagao

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program 2006     page: 845   2005.12

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  1380. Fast Generation of Digitally Reconstructed Radiographs Using Attenuation Fields With Application to 2D-3D Image Registration

    Daniel B. Russakoff, Torsten Rohlfing, Kensaku Mori, Daniel Rueckert, Anthony Ho, John R. Adler Jr., and Calvin R. Maurer, Jr.

    IEEE TRANSACTIONS ON MEDICAL IMAGING   Vol. 24 ( 11 ) page: 1441-1454   2005.11

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  1381. 医用画像ナビゲーションシステム診断支援技術の最先端

    森 健策

    映像情報Industrial   Vol. 37 ( 11 ) page: 57-61   2005.11

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  1382. 早期相と晩期相を用いた肝細胞がん検出に関する検討

    林 雄一郎, 出口 大輔, 目加田 慶人, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 305-306   2005.11

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  1383. 多臓器・多疾病を対象とする統合型コンピュータ支援画像診断システムの開発

    二村 幸孝, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 313-314   2005.11

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  1384. 3次元線強調フィルタを用いた腹部X線CT像からの血管領域抽出手法に関する予備的検討

    中村 嘉彦,林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 縄野 繁

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 301-302   2005.11

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  1385. 泡画像検出処理による実気管支鏡カメラの動き推定性能の改善

    出口 大輔,北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎,高畠 博嗣, 森 雅樹, 名取 博

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 161-162   2005.11

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  1386. 臓器の平面度と内壁面の再現率に基づく仮想展開像生成法の性能評価

    チウン チュンズン,北坂 孝幸, 森 健策, 末永 康仁, 三澤 一成,藤原 道隆, 橋爪 誠, 宮川 国久, 縄野 繁

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 191-192   2005.11

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  1387. 仮想腹腔鏡像作成による腹腔鏡下胃癌手術支援画像の生成

    林 雄一郎, 森 健策, 末永 康仁, 三澤 一成,藤原 道隆

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 193-194   2005.11

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  1388. コンピュータ画像診断支援とコンピュータ支援外科の連携-Navi-CADシステムを中心として-

    森 健策

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 7-8   2005.11

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  1389. 3次元胸部CT像から抽出された気管支の葉分類に関する検討

    中田 有一, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹,名取 博

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 275-276   2005.11

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  1390. マイクロCT画像を用いた肺微細構造の解析および雑音除去手法の検討

    佐藤 嘉晃, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹,名取 博

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 287-288   2005.11

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  1391. 展固定肺標本のMCT画像のボリューム・レンダリング表示:カラーテーブルの調整に関する検討

    高畠 博嗣, 森 雅樹, 小場 弘之, 名取 博, 森 健策, 神 繁樹, 海老沼 孝郎, 成田 英夫

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 289-290   2005.11

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  1392. 大腸仮想展開像における歪み軽減の一手法

    小田 昌宏, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    第14回コンピュータ外科学会大会・第15回コンピュータ支援画像診断学会大会合同論文集     page: 299-300   2005.11

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  1393. Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy

    Kensaku Mori, Shinya Ema, Takayuki Kitasaka, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori and Hiroshi Natori

    8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005),   ( II ) page: 854-861   2005.10

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  1394. Development of a Navigation-Based CAD System for Colon

    Masahiro Oda, Takayuki Kitasaka, Yuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga, and Jun-ichiro Toriwaki

    8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005),   ( I ) page: 696-703   2005.10

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  1395. Hybrid Bronchoscope Tracking Using a Magnetic Tracking Sensor and Image Registration

    Kensaku Mori, Daisuke Deguchi, Kenta Akiyama, Takayuki Kitasaka, Calvin R. Maurer Jr., Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori and Hiroshi Natori

    8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005),   ( II ) page: 543-550   2005.10

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  1396. 腹腔鏡下手術支援のための仮想腹腔鏡像作成に関する検討

    林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    日本コンピュータ外科学会誌   Vol. 7 ( 2 ) page: 95-104   2005.9

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  1397. Progressive attenuation fields: Fast 2D-3D image registration without precomputation

    Torsten Rohlfing, Daniel B.Russakoff, Joachim Denzler, Kensaku Mori, Calvin R.Maurer,Jr

    Medical Physics   Vol. 32 ( 9 ) page: 2870-2880   2005.9

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  1398. 腹部3次元CT像からの腹壁境界面抽出と仮想腹腔鏡像作成への応用

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    MEDICAL IMAGING TECHNOLOGY   Vol. 23 ( 4 ) page: 194-202   2005.9

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  1399. 3次元胸部CT像における肺野内CT値補正法とその肺気腫病変抽出への応用

    石原 考二, 北坂 孝幸, 森 健策, 森 雅樹, 高畠 博嗣, 末永 康仁, 名取 博

    電子情報通信学会技術研究報告     page: 69-74   2005.9

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  1400. 3次元胸部CT像から抽出された肺領域の葉分割手法

    中田 有一, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    画像の認識・理解シンポジウム (MIRU2005)     page: 128-135   2005.7

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  1401. CADシステムとしての仮想化内視鏡システムとそのがん検診・診断への応用

    森 健策

    日本がん検診・診断学会誌   Vol. 12 ( 2 ) page: 107-115   2005.7

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  1402. Expertise in interactions of perceptual and conceptual processing

    Junya Morita, Kazuhisa Miwa, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shingo Iwano, Mitsuru Ikeda, Takeo Ishigaki

    Proceedings of the 27th Annual Conference of Cognitive Science Society     page: 1541-1546   2005.7

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  1403. 仮想展開像を用いた大腸がん診断支援システムの開発

    小田 昌宏, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    第24回日本医用画像工学会大会抄録集     page: IB14   2005.7

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  1404. 腹部3次元CT像からの腹壁境界面抽出と仮想腹腔鏡像作成への応用

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森健策, 末永 康仁, 鳥脇 純一郎,橋爪 誠

    第24回日本医用画像工学会大会抄録集     page: P3-3   2005.7

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  1405. 泡画像検出処理による実内視鏡カメラの動き推定性能の改善

    出口 大輔,篠原 里代子,北坂 孝幸,森 健策,末永 康仁,長谷川 純一,鳥脇 純一郎,高畠博嗣,森雅樹,名取博

    第24回日本医用画像工学会大会抄録集     page: IB21   2005.7

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  1406. 肺野内のCT値変化を考慮した3次元胸部CT像からの肺気腫抽出手法の改善

    石原 考二, 長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 高畠 博嗣, 森 雅樹, 名取 博

    第24回日本医用画像工学会大会抄録集     page: IIA30   2005.7

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  1407. バーチャル内視鏡の開発-画像診断支援から手術支援まで-

    森 健策

    第24回日本医用画像工学会大会抄録集     page: PD5   2005.7

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  1408. 動的輪郭モデルを用いた歯科用3次元X線CT像からの歯質領域抽出に関する検討

    伊藤 大樹, 長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田 章三, 内藤 宗孝

    第24回日本医用画像工学会大会抄録集     page: IIA12   2005.7

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  1409. 肺標本のマイクロCT画像の3次元画像処理による肺微細構造の解析

    佐藤 嘉晃, 長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    第24回日本医用画像工学会大会抄録集     page: IIA31   2005.7

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  1410. 解剖学的知識に基づく非造影3次元腹部X線CT像からの複数臓器領域の抽出

    北坂 孝幸,小川 浩史, 横山 耕一郎,森 健策,目加田 慶人,長谷川 純一,末永 康仁,鳥脇 純一郎

    コンピュータ支援画像診断学会   Vol. 9 ( 1 ) page: 1-14   2005.6

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  1411. A method for automated segmentation of the stomach and its application for navigated diagnosis

    Ryosuke Kono, Yoshito Mekada, Kensaku Mori, Ichiro Ide, Hiroshi Murase, Jun-ichi Hasegawa, Shigeru Nawano

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1281     page: 86-91   2005.6

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  1412. Detection of colonic polyps from 3D abdominal CT images by surface fitting

    Takayuki Kitasaka, Yuichiro Hayashi, Takahiro Kimura, Kensaku Mori, Yasuhito Suenaga, and Jun-ichiro Toriwaki

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1285     page: 1151-1156   2005.6

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  1413. Automated Method for Measuring Alveolar Bone Resorption using Three-Dimensional Image Processing

    Jiro Nagao, Daiki Ito, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shohzoh Yamada, Munetaka Naitoh

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1284     page: 1420   2005.6

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  1414. A method for automated nomenclature of bronchial branches extracted from CT images

    Kensaku Mori, Shinya Ema, Takayuki Kitasaka, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1283     page: 86-91   2005.6

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  1415. A method for bronchoscope tracking by combining a position sensor and image registration

    Daisuke Deguchi, Kenta Akiyama, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1282     page: 630-635   2005.6

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  1416. Flattening virtualized organs for generating their unfolded views

    TrungDung Truong, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

    Computer Assisted Radiology and Surgery (CARS2005) 19th International Congress and Exhibition, International Congress Series 1281     page: 1281   2005.6

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  1417. 鎖工手術支援のための切開シミュレーションシステムの開発

    北坂 孝幸, 山本 哲也, 森 健策, 末永 康仁, 渡邉 芳夫

    電子情報通信学会技術研究報告     page: 25-30   2005.5

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  1418. Three-dimensional computed tomographic images of pelvic muscle in anorectal malformations

    Yoshio Watanabe, Ryoichi Ikegami, Keiko Takasu, Kensaku Mori

    Jornal of Pediatric Surgery (2005)   Vol. 40   page: 1931-1934   2005.5

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  1419. Real BronschoscopyとVirtualized Bronchoscopyの融合による気管支鏡ナビケーション

    森 健策, 北坂 孝幸, 出口 大輔, 末永 康仁

    気管支学 日本呼吸器内視鏡学会雑誌 第28回日本呼吸器内視鏡学会総会・プログラム・抄録集   Vol. 27 ( 3 ) page: 169   2005.5

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  1420. 複数時相CT像からのCT値分布推定を用いた肝臓領域抽出手法

    松岡 寿典,出口 大輔,林 雄一郎,北坂 孝幸,森 健策,目加田 慶人,末永 康仁,長谷川 純一,鳥脇 純一郎

    第44回日本生体医工学会大会(日本エム・イー学会)プログラム・論文集     page: 431   2005.4

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  1421. イメージレジストレーションと位置センサを用いた気管支鏡動き推定手法の改善

    秋山 健太, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   ( PRMU2004-233 ) page: 11-16   2005.3

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  1422. 人物画像を用いた静力学に基づく背骨姿勢推定と椎骨負荷解析手法

    古川 大介, 北坂 孝幸, 森 健策,末永 康仁, 平野 靖, 間瀬 健二, 高橋 友一

    電子情報通信学会総合大会講演論文集   ( D-II-108 ) page: 258   2005.3

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  1423. バイモーダル車内音声認識評価用データベースの構築

    根木 大輔, 前野 俊希, 北坂 孝幸, 森 健策, 末永 康仁, 宮島 千代美, 伊藤 克亘, 武田 一哉, 板倉 文忠, 佐野 昌己, 二宮 芳樹

    情報処理学会研究報告   ( 2005-SLP-55 ) page: 35-40   2005.2

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  1424. A method for detecting colonic polyps using curve fitting from 3D abdominal CT images,'' Proceedings of SPIE

    Takayuki Kitasaka, Kensaku Mori, Takahiro Kimura, Yuichiro Hayashi, Yasuhito Suenaga, and Jun-ichiro Toriwaki

    Proceedings of SPIE   Vol. 5746   page: 403-414   2005.2

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  1425. A method for generating unfolded views of the stomach based on volumetric image deformation,

    Kensaku Mori, Hiroki Oka, Takayuki Kitaska, and Yasuhito Suenaga

    Proceedings of SPIE   Vol. 5746   page: 340-351   2005.2

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  1426. 3次元CT像からの腹壁領域抽出と変形に基づく仮想腹腔鏡像生成手法の開発

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    電子情報通信学会技術研究報告   ( MI2004-52 ) page: 7-12   2005.1

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  1427. 自動気管支枝名対応付けにおけるモデル選択法の改善

    江間 慎弥, 森 健策, 北坂 孝幸, 目加田 慶人, 井手 一郎, 村瀬 洋, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   ( MI2004-110 ) page: 163-168   2005.1

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  1428. 胸部CT像における良性小結節自動認識のための結節形状および血管接続位置に基づく特徴量開発

    森田 洋介, 平野 靖, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 関 順彦, 江口 研二

    電子情報通信学会技術研究報告   ( MI2004-100 ) page: 109-114   2005.1

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  1429. 早期相・晩期相からのCT値分布推定による肝臓領域抽出手法の開発

    林 雄一郎, 出口 大輔, 松岡 寿典, 北坂 孝幸, 森 健策, 目加田 慶人, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2004-84 ) page: 19-24   2005.1

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  1430. 仮想臓器展開像作成における壁面法線に基づく臓器の平面化手法に関する検討

    チウン チュン ズン, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( MI2004-53 ) page: 13-18   2005.1

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  1431. イメージレジストレーションと位置センサを用いた気管支鏡動き推定処理に関する検討

    出口 大輔, 秋山 健太, 北坂 孝幸, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   ( MI2004-57 ) page: 37-42   2005.1

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  1432. オンライン手書き数式認識システムにおけるストローク間距離に基づく文字切り出し手法

    豊住 健一, 山田 直也, 北坂 孝幸, 森 健策, 末永 康仁, 間瀬 健二, 高橋 友一

    電気学会論文誌C   Vol. 124 ( 12 ) page: 2454-2460   2004.12

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  1433. 映像コーパスからの部分映像選択による発話映像合成手法

    二村 幸孝, 北坂 孝幸, 森 健策, 末永 康仁, 平野 靖, 間瀬 健二, 高橋 友一

    電子情報通信学会技術研究報告   ( PRMU2004-143 ) page: 55-60   2004.12

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  1434. 鎖肛手術支援のための切開シミュレーション手法の検討

    山本 哲也, 北坂 孝幸, 森 健策, 末永 康仁, 渡邊 芳夫

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 15-16   2004.12

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  1435. 磁気式位置センサを用いた気管支内視鏡ナビゲーションに関する予備的検討

    秋山 健太, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 名取 博, 高畠 博嗣, 森 雅樹

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 187-188   2004.12

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  1436. 仮想腹腔鏡像生成のための3次元CT像からの腹壁領域抽出に関する検討

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 229-230   2004.12

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  1437. 仮想腹腔鏡像生成と肝臓領域抽出による腹腔鏡下肝臓手術支援画像生成に関する検討

    林 雄一郎, 宮本 秀昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 233-234   2004.12

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  1438. 3次元濃淡画像の変形に基づく仮想展開像作成手法の改善

    チウン チュン ズン, 北坂 孝幸, 森 健策, 末永 康仁

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 237-238   2004.12

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  1439. 歯科用3次元X線CT像からの歯顎部組織抽出に関する検討

    伊藤 大樹, 長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田 章三, 内藤 宗孝

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 241-242   2004.12

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  1440. 領域拡張を用いた3次元腹部CT像からの胃・大腸内腔領域の自動抽出法に関する検討

    林 雄一郎, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 287-288   2004.12

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  1441. ストマップに基づく胃の自動区分とナビゲーション診断への応用

    河野 良輔, 目加田 慶人, 森 健策, 井手 一郎, 村瀬 洋, 長谷川 純一

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 289-290   2004.12

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  1442. 多時相CT像からのCT値分布推定を用いた肝臓領域抽出手法の検討

    出口 大輔, 林 雄一郎, 森 健策, 目加田 慶人, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 297-298   2004.12

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  1443. 気管支部位ごとの分岐特性に基づいた枝名対応付け手法の検討

    江間 慎弥, 北坂 孝幸, 森 健策, 目加田 慶人, 井手 一郎, 村瀬 洋, 長谷川 純一, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 337-338   2004.12

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  1444. 肺末梢気道・血管構造のナビゲーション:伸展固定肺標本のマイクロCT像を用いた検討

    高畠 博嗣, 森 雅樹, 小場 弘之, 名取 博, 森 健策, 神 繁樹, 海老沼 孝郎, 成田 英夫

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 341-342   2004.12

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  1445. スライス厚10㎜のCT像における肺気腫定量評価手法の性能評価

    石原 考二, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 森 雅樹, 名取 博

    第13回コンピュータ外科学会大会・14回コンピュータ支援画像診断学会大会合同講演論文集     page: 345-346   2004.12

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  1446. 造影3次元腹部X線CT像からの肝臓領域自動抽出手法の開発

    林 雄一郎, 出口 大輔, 森 健策, 目加田 慶人, 末永 康仁, 鳥脇 純一郎

    コンピュータ支援画像診断学会論文誌   Vol. 8 ( 1_3 ) page: 18-30   2004.11

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  1447. Automated Method for NOMENCLATURE OF BRONCHIAL Branchings for Virtual Bronchoscopy Reviewed

    Hirotsugu Takabatake, Masaki Mori, Shinya Ema, Takayuki Kitasaka, Kensaku Mori, Hiroshi Natori

    RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting Program     page: 807   2004.11

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  1448. Virtual Unfolding of the Stomach Based on Volumetric Image Deformation

    Kensaku Mori, Hiroki Oka, Takayuki Kitasaka, Yasuhito Suenaga and Jun-ichiro Toriwaki

    7th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2004)   ( II ) page: 389-396   2004.9

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  1449. Human Spine Posture Estimation Method from Human Images to Calculate Physical Forces Working on Vertebrae

    Daisuke Furukawa, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Kenji Mase and Tomoichi Takahashi

    7th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2004)   ( II ) page: 302-310   2004.9

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  1450. Fast and Accurate Bronchoscope Tracking using Image Registration and Motion Prediction

    Jiro Nagao, Kensaku Mori, Tsutomu Enjouji, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake and Hiroshi Natori

    7th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2004)   ( II ) page: 551-558   2004.9

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  1451. Virtual pneumoperitoneum for generating virtual laparoscopic views based on volumetric deformation

    Takayuki Kitasaka, Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Makoto Hashizume and Jun-ichiro Toriwaki

    7th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2004)   ( II ) page: 559-567   2004.9

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  1452. A Study of Symbol Segmentation Method for Handwritten Mathematical Formula Recognition using Mathematical Structure Information

    Kenichi Toyozumi, Naoya Yamada, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Kenji Mase and Tomoichi Takahashi

    17th International Conference on Pattern Recognition (ICPR 2004)   Vol. 2   page: 630-633   2004.8

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  1453. Chance Discovery in Image Diagnosis: - Analysis of Perceptual Cycles -

    Junya Morita, Kazuhisa Miwa, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Shingo Iwano, Mitsuru Ikeda and Takeo Ishigaki

    Proceedings of First European Workshop on Chance Discovery     page: 162-171   2004.8

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  1454. Spine Posture Estimation Method from Human Images Using 3D Spine Model

    Daisuke Furukawa, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga, Kenji Mase and Tomoichi Takahashi

    17th International Conference on Pattern Recognition (ICPR 2004)   Vol. 3   page: 322-325   2004.8

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  1455. ブロッキング処理による3次元胸部CT像からの気管支領域抽出精度の改善に関する検討

    北坂 孝幸, 藤井 一真, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一

    第23回日本医用画像工学会大会講演論文集     page: p2-66   2004.8

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  1456. 仮想腹腔鏡像生成のための腹膜領域抽出手法の開発

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    第23回日本医用画像工学会大会講演論文集     page: p2-77   2004.8

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  1457. オンライン手書き数式認識システムの性能評価手法の検討

    豊住 健一, 山田 直也, 北坂 孝幸, 森 健策, 末永 康仁, 間瀬 健二, 高橋 友一

    電子情報通信学会技術研究報告   ( PRMU2004-38 ) page: 31-36   2004.6

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  1458. An Improved method for generating virtually stretched views of organs based on volumetric image deformation

    Kensaku Mori, Hiroki Oka, Takayuki Kitasaka, Yasuhito Suenaga and Junichiro Toriwaki

    Proceedings of the 18th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2004     page: 25-30   2004.6

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  1459. Improved camera-tracking method by combining motion prediction and image registration for bronchoscope navigation system

    Kensaku Mori, Tsutomu Enjoji, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Junichiro Toriwaki, Hiroshi Natori and Hirotsugu Takabatake

    Proceedings of the 18th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2004     page: 1261   2004.6

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  1460. An Improved method for automated anatomical labeling of bronchial branches extracted from 3-D CT images

    Sinya Ema, Kensaku Mori, Takayuki, Kitasaka, Yoshito Mekada, Hiroshi Murase, Jun-ichi Hasegawa, Junichiro Toriwaki, Masaki Mori, Hirotsugu Takabatake and Hiroshi Natori

    Proceedings of the 18th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2004     page: 1358   2004.6

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  1461. 映像付き雑音環境下音声認識評価用共通データベースAURORA-2J-AV/AURORA-3J-AVの構築

    根木 大輔, 前野 俊希, 北坂 孝幸, 森 健策, 末永 康仁, 宮島 千代美, 伊藤 克亘, 武田 一哉, 板倉 文忠, 佐野 昌己, 二宮 芳樹

    電子情報通信学会技術研究報告   ( PRMU2004-24 ) page: 71-76   2004.5

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  1462. 前立腺摘出標本に基づく仮想針生検システムの評価

    福嶋 慶繁, 出口 大輔, 目加田 慶人, 森 健策, 村瀬 洋, 鳥脇 純一郎, 野口正典

    電子情報通信学会技術研究報告   ( PRMU2004-17 ) page: 29-34   2004.5

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  1463. マイクロCT画像を用いた肺微細構造からの肺胞領域の抽出

    佐藤 嘉晃, 長尾 慈郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   ( PRMU2004-9 ) page: 49-54   2004.5

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  1464. ナビゲーション診断に基づいた大腸がん診断支援システムの開発,'' 電子情報通信学会技術研究報告

    小田 昌宏, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2004-18 ) page: 35-40   2004.5

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  1465. 大腸内壁面への曲面当てはめに基づく3次元CT像からの大腸ポリープ自動検出

    林 雄一郎, 木村 崇博, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 富川 盛雅, 橋爪 誠

    生体医工学, Vol.42特別号(第43回日本ME学会大会論文集)     page: 669   2004.5

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  1466. 気管支の木構造追跡による3次元胸部CT像からの気管支領域抽出

    北坂 孝幸, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇純一郎

    生体医工学, Vol.42特別号(第43回日本ME学会大会論文集)     page: 297   2004.5

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  1467. 肺組織の微細構造の形状解析に向けての予備的検討 (第二報)

    松原 敦, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎, 高畠 博嗣, 森 雅樹, 名取 博

    電子情報通信学会技術研究報告   ( PRMU2003-303 ) page: 113-118   2004.3

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  1468. 車載カメラ映像を用いたドライバの発話区間検出の改善,'' 電子情報通信学会技術研究報告

    前野 俊希, 根木 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 二宮 芳樹

    電子情報通信学会技術研究報告   ( PRMU2003-257 ) page: 7-12   2004.3

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  1469. 可変輪郭モデルを用いた3次元CT像からの腹壁鏡界面抽出に関する検討

    宮本 秀昭, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会総合大会講演論文集     page: 357   2004.3

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  1470. 3次元X線CT像を用いた歯槽骨吸収の深さ測定法の改善

    長尾 慈郎, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田 章三, 内藤 宗孝

    電子情報通信学会総合大会講演論文集     page: 362   2004.3

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  1471. オンライン手書き数式認識のためのストローク位置情報を用いた文字切り出し手法の改善

    豊住健一, 山田直也, 森健策, 末永康仁, 間瀬健二, 高橋友一

    電子情報通信学会総合大会講演論文集     page: 209   2004.3

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  1472. コーパスベースの発話映像合成のための口形素分類に関する検討

    二村幸孝, 北坂孝幸, 森健策, 末永康仁, 間瀬健二, 高橋友一

    電子情報通信学会総合大会講演論文集     page: 228   2004.3

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  1473. Study on three-dimensional display and navigation of the bronchioloalveolar structure of the sub-macroscopic virtual bronchoscopy

    Hiroshi Natori, Masaki Mori, Hirotsugu Takabatake, Hiroyuki Koba, Kensaku Mori, Junichiro Toriwaki

    European Congress of Radiology(ECR 2004)     page: 329   2004.3

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  1474. 椎骨への力学的負荷計算が可能な人物画像からの背骨姿勢推定法に関する予備的検討

    古川大介, 北坂孝幸, 森健策, 末永康仁, 間瀬健二, 高橋友一

    電子情報通信学会総合大会講演論文集     page: 287   2004.3

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  1475. 仮想腹腔鏡像作成における変形手法の検討,'' 電子情報通信学会総合大会講演論文集

    林 雄一郎, 太田 圭亮, 宮本 秀昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    電子情報通信学会総合大会講演論文集     page: 356   2004.3

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  1476. Virtual pneumoperitoneum for generating virtual laparoscopic images based on shape deformation

    Kensaku Mori, Yuichiro Hayashi, Keisuke Ohta, Takayuki Kitaska, Yasuhito Suenaga, Jun-ichiro Toriwaki, and Makoto Hashizume

    Proceedings of SPIE   Vol. 5639   page: 178-188   2004.2

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  1477. New image similarity measures for bronchoscope tracking based on image registration between virtual and real bronchoscopic images

    Kensaku Mori, Tsutomu Enjouji, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Junichiro Toriwaki, Hirotsugu Takabatake, and Hiroshi Natori

    Proceedings of SPIE   Vol. 5639   page: 165-176   2004.2

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  1478. Human Spine Posture Estimation from 2D Frontal and Lateral Views Using 3D Physically Accurate Spine Model

    Daisuke Furukawa, Kensaku Mori, Takayuki Kitasaka, Yasuhito Suenaga, Kenji Mase, Tomoichi Takahashi

    IEICE Transactions on Information and Systems   Vol. E87-D ( 1 ) page: 146-154   2004.1

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  1479. 臓器外壁情報を利用した仮想展開像作成手法について,'' 電子情報通信学会論文誌

    岡 宏樹, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会論文誌   Vol. J87-D-II ( 1 ) page: 290-301   2004.1

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  1480. 3次元胸部CT像からの多発性小結節検出手法,

    早瀬 陽介, 目加田 慶人, 森 健策, 長谷川 純一, 鳥脇 純一郎, 森 雅樹, 名取 博

    電子情報通信学会論文誌   Vol. J87-D-II ( 1 ) page: 219-227   2004.1

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  1481. 仮想前立腺に対する針生検シミュレーションシステムの開発

    出口 大輔, 森 健策, 目加田 慶人, 長谷川 純一, 鳥脇 純一郎, 野口 正典

    電子情報通信学会論文誌   Vol. J87-D-II ( 1 ) page: 281-289   2004.1

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  1482. 腹部X線CT像を用いた胃壁ひだパターンの集中性解析,'' 電子情報通信学会論文誌

    渡辺 恵人, 長谷川 純一, 目加田 慶人, 森 健策, 縄野 繁

    電子情報通信学会論文誌   Vol. J87-D-II ( 1 ) page: 155-163   2004.1

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  1483. ボリュームレンダリング画像における3次元関心領域の指定法と開発とその仮想化内視鏡システムへの応用

    林 雄一郎, 樋口 義剛, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会論文誌   Vol. J87-D-II ( 1 ) page: 361-367   2004.1

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  1484. 胸部X線CT像からの炎症性小結節認識のための3次元的形状特徴量の開発,'' 電子情報通信学会技術研究報告

    森田 洋介, 宮下 和人, 平野 靖, 北坂 孝幸, 目加田 慶人, 森 健策, 村瀬 洋, 末永 康仁, 鳥脇 純一郎, 関 順彦, 江口 研二, 松本 常男, 大松 広伸, 最上 博, 中田 昌男

    電子情報通信学会技術研究報告   ( MI2003-111 ) page: 79-84   2004.1

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  1485. 造影3次元腹部X線CT像からの肝臓領域抽出手法の開発

    林 雄一郎, 出口 大輔, 森 健策, 目加田 慶人, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2003-65 ) page: 55-60   2004.1

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  1486. 3次元濃淡画像の変形に基づく仮想展開像作成手法の検討

    岡 宏樹, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2003-70 ) page: 83-88   2004.1

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  1487. イメージレジストレーションと動き予測を利用した気管支鏡動き推定精度向上に関する検討

    出口 大輔, 圓城寺 努, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一郎, 高畠 博嗣, 名取 博

    電子情報通信学会技術研究報告   ( MI2003-88 ) page: 77-82   2004.1

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  1488. 形状情報に基づく3次元腹部X線CT像からの大腸ポリープ自動検出手法に関する検討

    木村 崇博, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( MI2003-102 ) page: 29-34   2004.1

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  1489. A method for detecting undisplayed regions in virtual colonoscopy and its application to quantitative evaluation of fly-through methods

    Yuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki

    Academic Radiology   Vol. 10 ( 12 ) page: 1380-1391   2003.12

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  1490. 3次元ディジタル画像のトポロジカルな特徴量に関する一考察 - 肺組織の微細構造の形状解析に向けての予備的検討 -

    松原 敦, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( PRMU2003-183 ) page: 37-42   2003.12

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  1491. 曲率情報に基づく3次元腹部X線CT像からの大腸ポリープ自動検出手法の検討

    木村 崇博, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 283-284   2003.12

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  1492. 3次元腹部X線CT像からのCT値分布の自動解析に基づいた肝臓領域抽出手法の開発

    出口 大輔, 林 雄一郎, 森 健策, 目加田 慶人, 鳥脇 純一郎

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 277-278   2003.12

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  1493. 肺末梢微細構造の3D表示:伸展固定肺標本を用いた検討

    高畠 博嗣, 森 雅樹, 小場 弘之, 名取 博, 森 健策

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 259-260   2003.12

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  1494. 仮想化内視鏡システムとコンピュータ外科・コンピュータ支援画像診断

    森 健策

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 307-308   2003.12

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  1495. 3次元X線CT像を用いた歯槽骨吸収の深さ測定に関する予備的検討

    長尾 慈郎, 林 雄一郎, 北坂 孝幸, 森 健策, 末永 康仁, 山田 章三, 内藤 宗孝

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 217-218   2003.12

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  1496. 気管支鏡カメラ動き推定における画像間類似度の比較・検討

    圓城寺 努, 出口 大輔, 北坂 孝幸, 森 健策, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 215-216   2003.12

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  1497. 気管支木構造モデルの変形に基づく気管支枝名対応付の検討

    江間 慎弥, 北坂 孝幸, 森 健策, 目加田 慶人, 村瀬 洋, 鳥脇 純一郎

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 257-258   2003.12

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  1498. 臓器壁情報を利用した仮想展開像作成手法

    岡 宏樹, 北坂 孝幸, 森 健策, 末永 康仁, 鳥脇 純一郎

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 281-282   2003.12

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  1499. 腹腔鏡下手術支援のための仮想腹腔鏡像作成手法の検討

    林 雄一郎, 太田 圭亮, 宮本 秀昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    第13回コンピュータ支援画像診断学会大会・第12回コンピュータ支援外科学会合同講演論文集     page: 5-6   2003.12

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  1500. Three-dimensional Display of Pulmonary Emphysema: Quantitative Analysis of Spatial Distributions

    Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Takahisa Aiguchi, Kensaku Mori, Yasuhito Suenaga

    Scientific Assembly and Annual Meeting Program, Radiological Scociety of North America (RSNA 2003)     page: 805   2003.11

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  1501. A Method for Segmenting Bronchial Trees from 3D Chest X-ray CT Images

    Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2003   Vol. 2878   page: 603-610   2003.11

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  1502. A CAD System for Quantifying COPD Based on 3-D CT Images

    Jiro Nagao, Takahisa Aiguchi, Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki, Masaki Mori, Hiroshi Natori

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2003   Vol. 2878   page: 730-737   2003.11

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  1503. New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration

    Daisuke Deguchi, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake, Hiroshi Natori

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2003   Vol. 2878   page: 399-406   2003.11

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  1504. 背骨モデルを用いた背骨姿勢推定

    古川大介, 北坂 孝幸, 森 健策, 末永康仁, 間瀬 健二, 高橋 友一

    生体医工学シンポジウム2003     page: 114-121   2003.9

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  1505. オンライン手書き数式認識システムにおける行列要素の位置関係に基づく行列認識機構

    豊住 健一, 鈴木 隆広, 森 健策, 末永 康仁

    電子情報通信学会論文誌   Vol. Vol.J86-D-II ( 9 ) page: 1278-1285   2003.9

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  1506. コンピュータ外科手術の基礎と応用 - 手術支援画像仮想化内視鏡と手術支援画像生成

    森健策

    日本コンピュータ外科学会会誌   Vol. 5 ( 2 ) page: 69-74   2003.9

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  1507. 3次元CT像に基づく慢性閉塞性肺疾患の定量評価手法の開発

    藍口 孝久, 林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 森 雅樹, 名取 博

    生体医工学(日本エム・イー学会誌)   Vol. 41 ( 3 ) page: 187-196   2003.9

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  1508. 3次元胸部X線CT像からの気管支壁抽出に関する検討

    松ヶ野 修功, 北坂 孝幸, 森 健策, 目加田 慶人, 村瀬 洋, 鳥脇 純一郎

    第22回日本医用画像工学会大会抄録集     page: OP1-02   2003.7

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  1509. 腹部X線CT像からの小腸領域抽出に関する検討

    林 雄一郎,小南 光,森 健策,目加田 慶人,長谷川 純一,末永 康仁,鳥脇 純一郎

    第22回日本医用画像工学会大会抄録集     page: OP3-12   2003.7

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  1510. X線CT像の変形に基づく仮想腹腔鏡像作成手法の開発

    林 雄一郎,太田 圭亮,森 健策,末永 康仁,鳥脇 純一郎,橋爪 誠

    第22回日本医用画像工学会大会抄録集     page: OP5-21   2003.7

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  1511. 気管支枝名対応付け手法における複数モデル導入の検討

    江間 慎弥, 北坂 孝幸, 森 建策, 目加田 慶人, 村瀬 洋, 鳥脇 純一郎

    第22回日本医用画像工学会大会抄録集     page: OP1-03   2003.7

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  1512. New calculation method of image similarity for endoscope tracking based on image registration in endoscope navigation

    Daisuke Deguchi, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hiroshi Natori and Hirotsugu Takabatake

    Proceedings of the 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2003     page: 460-466   2003.6

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  1513. CAD system for quantitative evaluation of chronic obstructive pulmonary disease based on 3-D CT images

    Kensaku Mori, Takahisa Aiguchi, Masakazu Ikezaki, Takayuki Kitasaka, Yasuhito Suenaga, Jun-ichiro Toriwaki and Masaki Mori

    Proceedings of the 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2003     page: 1049-1054   2003.6

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  1514. Extraction of bronchus regions from 3D chest X-ray CT images by using structural features of bronchus

    Takayuki Kitasaka, Kensaku Mori, Jun-ichi Hasegawa, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Proceedings of the 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2003     page: 240-245   2003.6

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  1515. 情報増強バーチャルエンドスコピー、in シンポジウム:手術シミュレーションと術中イメージングナビゲーション

    鳥脇 純一郎, 森 健策, 林 雄一郎, 出口 大輔

    第28回日本外科系連合学会学術集会, 日本外科系連合学会誌   Vol. 28 ( 3 ) page: 422   2003.6

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  1516. Three-dimensional image reconstruction of an anorectal malformation with multidetector-row helical computer tomography technology

    Yoshio Watanabe, Hisami Ando, Takahiko Seo, Kentaro Kaneko, Shunsuke Katsuno, Tsuyoshi Shinohara, Kensaku Mori, Junichiro Toriwaki

    Pediatric Surgery International   ( 19 ) page: 167-171   2003.5

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  1517. 血管の解剖学的知識を用いた3次元腹部X線CT像からの大 動脈領域自動抽出

    北坂 孝幸, 小川 浩史, 森 健策, 目加田 慶人, 末永 康仁, 長谷川 純一, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2003-10 ) page: 55-60   2003.5

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  1518. 車載カメラ映像を用いたドライバの発話区間検出

    坂 義秀, 前野 俊希, 二宮 芳樹, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2002-261 ) page: 111-116   2003.3

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  1519. アクティブ探索法を用いた特徴点選択及び追跡の高速化とその気管支内視鏡画像への応用

    長尾 慈郎, 林 雄一郎, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2002-223 ) page: 1-6   2003.3

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  1520. パンチルトカメラによる対象物体の追跡と画像間照合を用いた手指動作の認識に関する検討

    池原 潔, 松原 敦, 北坂 孝幸, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2002-212 ) page: 7-12   2003.2

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  1521. Fast software-based volume rendering using multimedia instructions on PC platforms and its application to virtual endoscopy

    Kensaku Mori, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Proceedings of SPIE   Vol. 5031   page: 111-122   2003.2

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  1522. A Method for Generating Unfolded Views of Organ and Its Comparison With Virtual Endoscopy Based on Undisplayed Region Rate

    Hiroki Oka, Yuuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Proceedings of SPIE   Vol. 5031   page: 99-101   2003.2

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  1523. Quantitative evaluation of observation methods in virtual endoscopy based on the rate of undisplayed region

    Yuichiro Hayashi, Kensaku Mori, Jun-ichi Hasegawa, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Proceedings of SPIE   Vol. 5031   page: 69-78   2003.2

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  1524. 曲面上の線図形に対する集中度計算法とその胃壁ひだ解析への応用

    渡辺恵人, 長谷川純一, 目加田慶人, 森健策、縄野繁

    電子情報通信学会技術研究報告   ( MI2002-92 ) page: 71-76   2003.1

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  1525. 図形形状特徴と最小方向差分フィルタによる3次元胸部X線CT像からの小結節検出

    早瀬陽介, 草薙卓, 目加田慶人, 森健策, 鳥脇純一郎, 長谷川純一, 森雅樹, 名取博

    電子情報通信学会技術研究報告   ( MI2002-90 ) page: 59-64   2003.1

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  1526. 実気管支鏡のカメラ動き推定処理における画像間類似度計算法の改善

    出口大輔,森健策,長谷川純一,鳥脇純一郎,名取博,高畠博嗣

    電子情報通信学会技術研究報告   ( MI2002-108 ) page: 71-76   2003.1

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  1527. Technology Assessment of Cascade Recycling of Used Papers and Plastics by “Rescue Number

    Hideaki Itoh, Kensaku Mori, Ryo Sasai, H. Hayashi and I. Shinoda

    Proc. 1st Intern. Conf. Sustainable Planning and Development (Skiathos, Greece)     page: 933-942   2003

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  1528. バーチャルコロノスコピーにお ける未提示領域に基づくフライスルー手法の観察能力の定量評価

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    生体医工学(日本エム・イー学会誌)   Vol. 40 ( 4 ) page: 247-252   2002.12

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  1529. A Method for Extraction of Bronchus Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus

    Takayuki Kitasaka, Kensaku Mori, Jun-ichi Hasegawa and Jun-ichiro Toriwaki

    FORMA   Vol. 17 ( 4 ) page: 321-338   2002.12

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  1530. Human Spine Posture Estimation from 2D Frontal and Lateral Views Using 3D Physically Precise Spine Model

    Daisuke Furukawa, Kensaku Mori and Yasuhito Suenaga

    Proceedings of IAPR Workshop on Machine Vision Applications (MVA2002)     page: 224-227   2002.12

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  1531. A Study on Correction Functions for On-Line Handwriting Entry of Mathematical Formulas

    Naoya Yamada, Kenichi Toyozumi, Kensaku Mori and Yasuhito Suenaga

    Proceedings of IAPR Workshop on Machine Vision Applications (MVA2002)     page: 542-545   2002.12

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  1532. X線CT像の変形に基づく仮想腹腔鏡像作成に関する基礎的検討

    林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 81-82   2002.11

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  1533. 3次元胸部CT像に基づく肺気腫病変及び気管支・肺血管の肺内分布に関する検討

    藍口 孝久, 林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 森 雅樹, 名取 博

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 199-200   2002.11

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  1534. アクティブ探索法を用いた特徴追跡の高速化とその気管支内視鏡画像への応用

    長尾 慈郎, 林 雄一郎, 森 健策, 末永 康仁

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 182-183   2002.11

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  1535. 医用内視鏡ナビゲーションシステム実現のためのレンズ歪みに関する検討

    圓城寺 努, 森 健策, 末永 康仁, 鳥脇 純一郎

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 181-182   2002.11

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  1536. 未提示領域に基づくバーチャルコロノスコピーにおけるフライスルー手法と展開手法の比較

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 179-180   2002.11

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  1537. 胃壁領域を利用した仮想病理標本作成手法の改善

    岡 宏樹, 森 健策, 末永 康仁, 鳥脇 純一郎

    第12回コンピュータ支援画像診断学会大会/第11回日本コンピュータ外科学会大会合同論文集     page: 175-176   2002.11

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  1538. 芯線モデルを利用した非造影3次元胸部X線CT像からの縦隔内血管領域抽出

    北坂 孝幸, 森 健策, 長谷川 純一, 鳥脇 純一郎, 片田 和廣

    MEDICAL IMAGING TECHNOLOGY   Vol. 20 ( 5 ) page: 572-583   2002.9

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  1539. Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images

    Kensaku Mori, Daisuke Deguchi, Jun Sugiyama, Yasuhito Suenaga, Jun-ichiro Toriwaki, C. R. Maurer Jr., Hirotugu Takabatake and Hiroshi Natori

    Medical Image Analysis   ( 6 ) page: 321-336   2002.9

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  1540. 仮想化内視鏡システムにおける未提示領域の検出機能の開発

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    MEDICAL IMAGING TECHNOLOGY   Vol. 20 ( 5 ) page: 562-571   2002.9

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  1541. A Method for Detecting Undisplayed Regions in Virtual Colonoscopy and Its Application to Quantitative Evaluation of Fly-Through Methods

    Yuichiro Hayashi, Kensaku Mori, Jun-ichi Hasegawa, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Medical Image Computing and Computer-Assisted Intervention (MICCAI2002)     page: 631-638   2002.9

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  1542. A method for automated extraction of aorta and pulmonary artery using line models from 3D chest X-ray CT images with contrast medium

    Takayuki Kitasaka, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki and Kazuhiro Katada

    16th International Conference on Pattern Recognition 2002 (ICPR2002)   Vol. 3   page: 273-276   2002.8

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  1543. 高速らせんCTを用いた骨盤底筋群の三次元解析

    渡辺 芳夫, 安藤 久實, 篠原 剛, 森 健策, 鳥脇 純一郎

    小児外科   Vol. 34 ( 7 ) page: 804-809   2002.7

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  1544. 3次元トップハット変換を用いた腹部X線CT像からの胃壁ひだ抽出

    渡辺 恵人, 長谷川 純一, 目加田 慶人, 森 健策, 縄野 繁

    電子情報通信学会論文誌   Vol. J85-D-II ( 7 ) page: 1250-1258   2002.7

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  1545. 手書き数式入力のための修正インタフェースに関する検討

    豊住 健一, 山田 直也, 森 健策, 末永 康仁

    画像の認識理解シンポジウム(MIRU2002)講演論文集   Vol. 2   page: 153-158   2002.7

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  1546. 3次元腹部CT像からの胃壁領域抽出手法,'' 電子情報通信学会技術研究報告

    岡 宏樹, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2002-46 ) page: 59-64   2002.7

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  1547. 気管支内視鏡カメラ動き推定におけるレンズ歪み補正に関する検討

    圓城寺 努, 森 健策, 末永 康仁, 鳥脇 純一郎, 高畠 博嗣

    第21回日本医用画像工学会大会抄録集   Vol. 20 ( 4 ) page: 391-393   2002.7

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  1548. 高精細3次元CT像に基づいた慢性閉塞性肺疾患の計算機診断支援に関する検討

    藍口 孝久, 林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 森 雅樹

    第21回日本医用画像工学会大会抄録集   Vol. 20 ( 4 ) page: 455-458   2002.7

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  1549. 気腹法を用いた腹腔鏡像の作成に関する基礎的検討

    林 雄一郎, 依田 浩明, 森 健策, 末永 康仁, 鳥脇 純一郎, 橋爪 誠

    第21回日本医用画像工学会大会抄録集   Vol. 20 ( 4 ) page: 411-412   2002.7

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  1550. 仮想大腸内視鏡における未提示領域に基づいたフライスルーの方法の定量評価

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    第21回日本医用画像工学会大会抄録集   Vol. 20 ( 4 ) page: 405-407   2002.7

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  1551. 図形形状特徴を用いた3次元胸部マルチスライスCT像からの結節検出

    草薙 卓, 森 健策, 目加田 慶人, 鳥脇 純一郎, 長谷川 純一, 森 雅樹

    電子情報通信学会技術研究報告   Vol. MI2002-41   page: 29-34   2002.7

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  1552. A preliminary study for automated recognition of branches of pulmonary artery and vein using anatomical positional relations from a 3-D chest X-ray CT image

    Tomoaki Yamaguchi, Takayuki Kitasaka, Kensaku Mori, Yoshito Mekada, Jun-ichi Hasegawa, Jun-ichiro Toriwaki and Hideaki Otsuji

    Proceedings of the 16th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2002)     page: 782-787   2002.6

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  1553. A fast and accurate method of ultrasound probe calibration for image-guided surgery

    J.M. Welch, M.R. Bax, Kensaku Mori, T. Krummel, R. Shahidi and C.R. Maurer Jr.

    Proceedings of the 16th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2002)     page: 1078   2002.6

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  1554. Fast volume rendering based on software opitmization using multimedia instructions on PC platform

    Kensaku Mori, Yasuhito Suenaga and Jun-ichiro Toriwaki

    Proceedings of the 16th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2002)     page: 467-472   2002.6

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  1555. 高精細3次元胸部CT像に基づく気腫性肺疾患定量評価手法の開発

    藍口 孝久, 林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎, 森 雅樹

    電子情報通信学会技術研究報告   ( PRMU2002-6, MI2002-22 ) page: 35-40   2002.5

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  1556. 仮想大腸内視鏡における大腸ひだ抽出と自動フライスルーへの利用

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎, 篠原 和彦, 橋本 大定

    第41回日本ME学会大会論文集     page: 234   2002.5

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  1557. エッジ情報を利用した非造影3次元腹部X線CT像からの大動脈領域の自動抽出

    小川 浩史, 北坂 孝幸, 森 健策, 長谷川 純一, 鳥脇 純一郎

    電子情報通信学会技術研究報告   Vol. MI2002-18   page: 7-12   2002.5

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  1558. 精密背骨モデルを用いた人物正面および側面像からの背骨姿勢推定

    古川 大介, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 302   2002.3

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  1559. 3次元腹部CT像の変形に基づく仮想腹腔鏡像作成手法に関する検討

    依田 浩明, 林 雄一郎, 森 健策, 末永 康仁, 鳥脇 純一郎

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 363   2002.3

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  1560. オンライン数式入力システムにおける文字と数式構造に関する修正機能の実現

    山田 直也, 豊住 健一, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 249   2002.3

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  1561. 長尾 慈郎, 林 雄一郎, 森 健策, 末永 康仁

    坂 義秀, 古川 大介, 森 健策, 河口 信夫, 小塚 一宏, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 181   2002.3

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  1562. Shape from shading における初期等距離線の獲得に関する一考察

    長尾 慈郎, 林 雄一郎, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 95   2002.3

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  1563. 目画像からの視線検出に関する予備的検討

    田中 淳, 二村 幸孝, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 180   2002.3

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  1564. パンチルトカメラを利用した手指位置推定に関する予備的検討

    池原 潔, 松原 敦, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 283   2002.3

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  1565. 仮想大腸内視鏡における大腸ひだ情報を用いた自動フライスルー経路生成に関する基礎的検討

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 362   2002.3

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  1566. 3次元精密手指モデルを用いた手指姿勢推定に関する予備的検討

    二村 幸孝, 森 健策, 末永 康仁

    2002年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 282   2002.3

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  1567. Automated Extraction of Aorta and Pulmonary Artery in Mediastinum from 3D Chest X-ray CT Images without Contrast Medium

    Takayuki Kitasaka, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki and Kazuhito Katada

    Medical Imaging 2002: Image Prodessing, Proceedings of SPIE   Vol. 4684 ( 3 ) page: 1496-1507   2002.2

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  1568. Camera motion tracking of real bronchoscope using epipolar geometry analysis and CT derived bronchoscopic images

    Daisuke Deguchi, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake and Hiroshi Natori

    Medical Imaging 2002: Physiology and Function from Multidimensional Images, Proceedings of SPIE   Vol. 4683   page: 30-41   2002.2

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  1569. 目と口の位置関係に基づく目領域推定手法の改善,'' 電子情報通信学会技術研究報告

    石上 智英, 松原 敦, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2001-240 ) page: 53-58   2002.2

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  1570. オンライン数式認識システムにおける行列認識機構の検討,'' 電子情報通信学会技術研究報告

    豊住 健一, 鈴木 隆広, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2001-239 ) page: 47-52   2002.2

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  1571. A Visual Information Media Selection Scheme Based on Human Motion Recognition Using Multiple Cameras

    Atsushi Matsubara, Yukitaka Nimura, Daisuke Furukawa, Kensaku Mori and Yasuhito Suenaga

    Proceedings of International Workshop on Pattern Recognition and Image Understanding for Visual Information Media (VISPRU)     page: 27-35   2002.1

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  1572. 仮想化内視鏡システムにおける自動探索経路と未提示領域数の定量評価

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2001-86 ) page: 41-46   2002.1

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  1573. 3次元CT像の変形に基づく仮想病理標本作成手法の開発

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎

    自動計測制御学会 第2回システムインテグレーション部門学術講演会講演論文集     page: 301-302   2001.12

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  1574. ソフトウェアによる高速ボリュームレンダリング手法の開発と仮想化内視鏡システムへの適用

    吉岡 政洋, 森 健策, 末永 康仁, 鳥脇 純一郎

    MEDICAL IMAGING TECHNOLOGY   Vol. 19 ( 6 ) page: 477-486   2001.11

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  1575. Human Spine Posture Estimation from Video Images Based on Connected Vertebra Spheres Model

    Daisuke Furukawa, Kensaku Mori and Yasuhito Suenaga

    Proceedings of Computer Animation 2001     page: 174-181   2001.11

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  1576. 実内視鏡カメラの動き推定におけるボリュームレンダリング画像の利用とサーフェスレンダリングとの比較

    杉山 淳, 森 健策, 末永 康仁, 鳥脇 純一郎

    第11回コンピュータ支援画像診断学会大会/第10回日本コンピュータ外科学会大会合同論文集     page: 53-54   2001.11

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  1577. 仮想化内視鏡システム における未観察領域自動検出機能に基づく探索経路の有効性の定量的評価

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    第11回コンピュータ支援画像診断学会大会/第10回日本コンピュータ外科学会大会合同論文集     page: 177-178   2001.11

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  1578. 軟性内視鏡ナビゲーションシステムのための実内視鏡カメラ動き推定手法の開発 -気泡を含むフレームへの対応

    東海林 秀典, 森 健策, 末永 康仁, 鳥脇 純一郎

    第11回コンピュータ支援画像診断学会大会/第10回日本コンピュータ外科学会大会合同論文集     page: 119-120   2001.11

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  1579. 三次元CT像に基づく仮想病理標本作成における仮想展開手法の改善

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎

    第11回コンピュータ支援画像診断学会大会/第10回日本コンピュータ外科学会大会合同論文集     page: 69-70   2001.11

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  1580. A method for tracking the camera motion of real endoscope by epipolar geometry analysis and virtual endoscopy system

    Kensaku Mori, Daisuke Deguchi, Jun-ichi Hasegawa, Yasuhito Suenaga, Jun-ichiro Toriwaki, Hirotsugu Takabatake and Hiroshi Natori

    Medical Image Computing and Computer-Assisted Intervention (MICCAI 2001)     page: 1-8   2001.10

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  1581. Distance Transformation and Skeletonization of 3D Pictures and Their Applications of Medical Images

    Junichiro Toriwaki and Kensaku Mori

    Digital and Image Geometry   ( 2243 ) page: 412-428   2001.9

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  1582. A System for Real-time Recognition of Handwritten Mathematical Formulas

    Kenichi Toyozumi, Takahiro Suzuki, Kensaku Mori and Yasuhito Suenaga

    Proceedings of 6th International Conference on Document Analysis and Recognition (ICDAR 2001)     page: 1059-1063   2001.9

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  1583. 3次元腹部X線CT像からの大腸ひだ領域抽出手法の開発

    林 雄一郎, 加治 洋丞, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一, 篠原 一彦, 橋本 大定

    第20回医用画像工学会大会抄録集     page: 231-232   2001.7

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  1584. A mehod for specifying unobserved regions in virtual endoscopy system,

    Kensaku Mori, Yuichiro Hayashi, Jun-ichiro Toriwaki, Yasuhito Suenaga and Jun-ichi Hasegawa

    Proceedings of the 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2001)     page: 431-436   2001.6

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  1585. Automated extraction of the aorta and the pulmonary artery in the mediastinum from 3D chest X-ray CT images using the medial line model

    Takayuki Kitasaka, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki and Kazuhito Katada

    Proceedings of the 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2001)     page: 1112   2001.6

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  1586. A method for automated extraction of stomach fold regions from abdominal X-ray CT image and its application to virtual stomachoscopy

    Shigeto Watanabe, Jun-ichi Hasegawa, Kensaku Mori, Yoshito Mekada and Sigeru Nawano

    Proceedings of the 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2001)     page: 3-8   2001.6

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  1587. An improved method for generating virtual streched view of stomach based on shape defomation

    Kensaku Mori, Yoshiaki Hoshino, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa and Kazuhito Katada

    Proceedings of the 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2001)     page: 425-430   2001.6

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  1588. 実内視鏡カメラの動き推定手法の開発

    杉山 淳, 森 健策, 末永 康仁, 鳥脇 純一郎

    第40回日本ME学会大会論文集     page: 363   2001.5

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  1589. 3次元CT像に基づく仮想病理標本作成手法とその大腸への適用

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一

    第40回日本ME学会大会論文集     page: 541   2001.5

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  1590. 仮想化内視鏡システムにおける未観察領域の自動抽出・提示機能の開発と評価

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎, 篠原 一彦, 橋本 大定

    第40回日本ME学会大会論文集     page: 478   2001.5

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  1591. 仮想化内視鏡システム

    森 健策, 鳥脇 純一郎

    電子情報通信学会誌   Vol. 5   2001.5

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  1592. 仮想化気管支鏡(Virtual bronchoscopy)

    高畠博嗣, 森 雅樹, 名取 博, 森 健策, 鳥脇 純一郎

    臨床病理   Vol. 49 ( 4 ) page: 352-355   2001.4

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  1593. 映像からの背骨姿勢推定に関する検討 -物理的要素を考慮した背骨姿勢推定モデル-

    古川 大介, 森 健策, 末永 康仁

    2001年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 209   2001.3

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  1594. ボリュームレンダリング画像における未観察領域提示手法とその仮想化内視鏡システムへの応用

    林 雄一郎, 森 健策, 長谷川 純一, 末永 康仁, 鳥脇 純一郎

    2001年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 341   2001.3

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  1595. オンライン手書き文字認識に関する検討

    豊住 健一, 鈴木 隆広, 森 健策, 末永 康仁

    2001年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 186   2001.3

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  1596. 円筒モデルを用いた顔の姿勢推定の予備的検討

    石上 智英, 渡邊 淳, 森 健策, 末永 康仁

    2001年電子情報通信学会総合大会講演論文集(情報・システム2)     page: 296   2001.3

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  1597. A mehod for detecting unobserved regions in virtual endoscopy system

    Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa and Kazuhito Katada

    Medical Imaging 2001: Physiology and Function from Multidimensional Images, Proceedings of SPIE   Vol. 4321   page: 134-145   2001.2

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  1598. Camera motion tracking of real endoscope by using virtual endoscopy system and texture information

    Hidenori Shoji, Kensaku MoriI, Jun Sugiyama, Yasuhito Suenaga, Jun-ichiro Toriwaki, Hirotsugu Takabatake and Hiroshi Natori

    Medical Imaging 2001: Physiology and Function from Multidimensional Images, Proceedings of SPIE   Vol. 4321   page: 122-133   2001.2

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  1599. 動画像解析による指動作認識に基づく三次元情報入力システム

    岩田 達明, 松原 敦, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   ( PRMU2000-197 ) page: 29-36   2001.2

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  1600. ソフトウェアによる高速ボリュームレンダリング手法とその仮想化内視鏡システムへの応用

    吉岡 政洋, 森 健策, 末永 康仁, 鳥脇 純一郎

    電子情報通信学会技術研究報告   ( MI2000-85 ) page: 45-50   2001.1

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  1601. 3次元濃淡画像の変形に基づく仮想病理標本作成手法の開発

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一, 安野 泰史, 片田 和廣

    電子情報通信学会技術研究報告   ( MI2000-88 ) page: 63-68   2001.1

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  1602. 仮想化内視鏡システムにおける断面積測定機能の性能評価

    中山 善之, 森 健策, 末永 康仁, 鳥脇 純一郎, 片田 和廣, 名取 博

    電子情報通信学会技術研究報告   ( MI2000-87 ) page: 57-62   2001.1

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  1603. リアルタイム手書き数式入力システム-手書き入力による人にやさしいインタフェースの実現

    鈴木 隆広, 青島 史郎, 森 健策, 末永 康仁

    画像ラボ   Vol. 11 ( 12 ) page: 30-33   2000.12

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  1604. Camera motion estimation based on real endoscope images and CT images for endoscope navigation system

    Jun Sugiyama, Hidenori Shoji, Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki and Jun-ichi Hasegawa

    Proceedings of IAPR Workshop on Machine Vision Applications (MVA2000)     page: 409-412   2000.11

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  1605. バーチャル気管支鏡, 肺癌の臨床

    鳥脇 純一郎, 森 健策

    肺癌の臨床   Vol. 3 ( 4 ) page: 461-469   2000.11

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  1606. 仮想化内視鏡システムにおける未観察領域提示機能の開発

    林 雄一郎, 森 健策, 斉藤 豊文, 長谷川 純一, 末永 康仁, 鳥脇 純一郎, 篠原 一彦, 橋本 大定

    第10回コンピュータ支援画像診断学会大会/第9回日本コンピュータ外科学会大会合同論文集     page: 47-48   2000.10

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  1607. 仮想胃展開像作成のための展開基準図形作成手法に関する研究

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一

    第10回コンピュータ支援画像診断学会大会/第9回日本コンピュータ外科学会大会合同論文集     page: 43-44   2000.10

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  1608. 仮想化内視鏡システムを用いた実内視鏡カメラの動き推定

    杉山 淳, 東海林 秀典, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一

    第10回コンピュータ支援画像診断学会大会/第9回日本コンピュータ外科学会大会合同論文集     page: 45-46   2000.10

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  1609. A New System for the Real-time Recognition of Handwritten Mathematical Formulas

    Takahiro Suzuki, Shiro Aoshima, Kensaku Mori and Yasuhito Suenaga

    15th International Conference on Pattern Recognition (ICPR2000)   Vol. 4   page: 515-518   2000.9

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  1610. 顔画像中の左右目領域の推定

    渡邉 淳, 小田 竜也, 森 健策, 末永 康仁

    2000年電子情報通信学会ソサイエティ大会講演論文集(情報・システムソサイエティ)     page: 325-326   2000.9

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  1611. 仮想化内視鏡システムを用いた実内視鏡カメラの動き推定における動画像情報の利用

    東海林 秀典, 森 健策, 末永 康仁, 鳥脇 純一郎

    第19回日本医用画像工学会大会号   Vol. 18   page: 531-532   2000.8

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  1612. 3次元曲率情報を用いた人体臓器のスケッチ作成法とその腹部CT像への応用

    瀬木 歩, 森 健策, 末永 康仁, 鳥脇 純一郎

    第19回日本医用画像工学会大会号   Vol. 18   page: 595-596   2000.8

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  1613. 仮想化内視鏡システムにおける自動ナビゲーション機能と未観察領域提示機能の開発

    林 雄一郎, 森 健策, 斉藤 豊文, 長谷川 純一, 鳥脇 純一郎

    第19回日本医用画像工学会大会号   Vol. 18   page: 587-588   2000.8

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  1614. 仮想胃展開像作成のための展開基準図形生成手法に関する改善

    星野 好昭, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一

    第19回日本医用画像工学会大会号   Vol. 18   page: 535-536   2000.8

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  1615. 胃部の3次元診断へ向けた腹部X線CT像からの胃壁ひだ自動抽出

    渡辺恵人、長谷川純一、目加田慶人、森 健策、縄野 繁

    画像の認識・理解シンポジウム(MIRU2000)講演論文集II     page: II-295~II-300   2000.7

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  1616. 3次元画像データ観察のための自動ナビゲーション-観察経路の自動生成および観察状況の表示-

    齋藤 豊文, 林 雄一郎, 鳥脇 純一郎

    人工知能学会研究会資料(SIG-FAI-A001-27)     page: 133-136   2000.7

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  1617. 仮想化内視鏡システムを用いた実気管支鏡カメラの動き推定法における動画像情報の利用

    東海林 秀典, 杉山 淳, 森 健策, 末永 康仁, 鳥脇 純一郎, 長谷川 純一

    画像の認識理解シンポジウム(MIRU2000)講演論文集   Vol. 2   page: 361-366   2000.7

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  1618. 映像からの背骨姿勢推定に関する予備的検討

    古川 大介, 森 健策, 末永 康仁

    画像の認識理解シンポジウム(MIRU2000)講演論文集   Vol. 2   page: 355-360   2000.7

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  1619. 仮想化内視鏡システムにおける自動探索機能と未観察領域提示によるナビゲーション診断の高度化

    林 雄一郎, 森 健策, 斎藤 豊文, 長谷川 純一, 鳥脇 純一郎

    画像の認識理解シンポジウム(MIRU2000)講演論文集   Vol. 2   page: 331-336   2000.7

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  1620. 顔領域の予備抽出に基づく目領域抽出の改善について

    渡邉 淳, 小田 竜也, 森 健策, 末永 康仁

    画像の認識理解シンポジウム(MIRU2000)講演論文集   Vol. 1   page: 21-26   2000.7

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  1621. 3次元濃淡画像処理による胃壁ひだ領域自動抽出の試み

    渡辺恵人、長谷川純一、目加田慶人、森 健策、縄野 繁

    MEDICAL IMAGING TECHNOLOGY(第19回日本医用画像工学会大会特集号)   Vol. 18 ( 4 ) page: 567-568   2000.7

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  1622. 非造影3次元胸部X線CT像からの形状モデルを利用した大動脈領域抽出

    北坂孝幸、内潟幸宏、森 健策、長谷川純一、鳥脇純一郎

    MEDICAL IMAGING TECHNOLOGY(第19回日本医用画像工学会大会特集号)   Vol. 18 ( 4 ) page: 571-572   2000.7

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  1623. Tracking of camera motion of real endoscope by using the Virtual Endoscope System

    Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa, Kazuhiro Katada, Hiroshi Natori and Hirotsugu Takabatake

    Proceedings of the 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000)     page: 85-90   2000.6

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  1624. A method for specifying three dimensional interested regions on volume rendered images and its evaluation for virtual endoscopy system

    Toyofumi Saito, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Jun-ichiro Toriwaki and Kazuhiro Katada

    Proceedings of the 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000)     page: 91-96   2000.6

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  1625. 実時間手書きストローク解析による数式入力システム

    青島 史郎, 鈴木 隆広, 森 健策, 末永 康仁

    電子情報通信学会論文誌   Vol. J83-D-II ( 5 ) page: 1232-1245   2000.5

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  1626. 3次元腹部X線CT像からの胃壁ひだ領域自動抽出手法の比較検討

    渡辺恵人、長谷川純一、目加田慶人、森 健策、縄野 繁

    第39回日本ME学会大会論文集     page: 2I4-3   2000.5

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  1627. ゴルフスウィング動作における運動機能情報の動的観察システム

    長瀬大輔、稲葉 洋、長谷川純一、森 健策、肥田満裕、山本英弘、北川 薫

    第39回日本ME学会大会論文集     page: 3D2-1   2000.5

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  1628. 3次元胸部X線CT像からの大動脈領域抽出

    北坂孝幸、森 健策、長谷川純一、鳥脇純一郎

    第39回日本ME学会大会論文集     page: 2I4-4   2000.5

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  1629. CADシステムの現状と今後の展望

    森健策

    Digital Medicine   Vol. 1   page: 72-76   2000.5

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  1630. バーチャルエンドスコピー

    森 健策, 鳥脇 純一郎

    日本放射線技術学会誌   Vol. 56 ( 3 ) page: 349-354   2000.3

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  1631. 医用3次元濃淡画像の観察と診断のための次元シームレスな支援環境について

    石川貴洋 森健策 長谷川純一 鳥脇純一郎

    医用電子と生体工学   Vol. 38 ( 1 ) page: 10-19   2000.3

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  1632. 顔領域の予備抽出に基づく目候補領域抽出の改善

    渡邉淳, 小田竜也, 森健策, 末永康仁

    2000年電子情報通信学会総合大会講演論文集     page: 290   2000.3

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  1633. 仮想化内視鏡システムにおける自動ナビゲーション機能の開発

    林雄一郎, 森健策, 斎藤豊文, 長谷川純一, 鳥脇純一郎

    2000年電子情報通信学会総合大会講演論文集     page: 411-412   2000.3

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  1634. 仮想化内視鏡システムを用いた医用内視鏡ナビゲーションシステムの開発

    杉山淳, 中島弘倫, 森健策, 末永康仁, 鳥脇純一郎, 長谷川純一

    2000年電子情報通信学会総合大会講演論文集     page: 389   2000.3

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  1635. 3次元腹部CT像に基づく仮想胃展開像作成法の改善

    伊達宣行、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    2000年電子情報通信学会総合大会講演論文集     page: DS-6-4   2000.3

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  1636. 複数の知識モデルを用いた3次元胸部CT像における気管支枝名生成手法

    吉田裕一、森 健策、鳥脇純一郎、長谷川純一

    2000年電子情報通信学会総合大会講演論文集     page: DS-6-2   2000.3

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  1637. ボリュームレンダリング画像上での3次元関心領域の指定法の評価

    樋口義剛、森 健策、長谷川純一、鳥脇純一郎

    2000年電子情報通信学会総合大会講演論文集     page: D-16-19   2000.3

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  1638. 非造影3次元胸部X線CT像からの大動脈領域抽出

    北坂孝幸、森 健策、長谷川純一、鳥脇純一郎

    2000年電子情報通信学会総合大会講演論文集     page: D-16-18   2000.3

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  1639. 投影像上の指動作認識に基づく入力システムの検討

    岩田達明, 森健策, 末永康仁

    2000年電子情報通信学会総合大会講演論文集     page: 300   2000.3

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  1640. 3次元モデルを用いた手指の姿勢認識手法の提案

    二村幸孝, 森健策, 末永康仁

    2000年電子情報通信学会総合大会講演論文集     page: 299   2000.3

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  1641. 映像からの背骨姿勢推定に関する予備的検討

    古川大介, 森健策, 末永康仁

    2000年電子情報通信学会総合大会講演論文集     page: 294   2000.3

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  1642. Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system

    IEEE Transactions on Medical Imaging   Vol. 19 ( 2 ) page: 103-114   2000.2

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  1643. A method for tracking camera motion of real endoscope by using virtual endoscopy system

    K.Mori, Y.Suenaga, J.Toriwaki, J.Hasegawa, K.Kataa, H.Takabatake, H.Natori

    Proc. of SPIE   Vol. 3978   page: 122-133   2000.2

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  1644. 複数の知識モデルの利用による仮想化内視鏡システムの気管支枝名自動生成手順の改善

    吉田裕一、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣、森 雅樹、高畠博嗣、名取 博

    電子情報通信学会技術研究報告   Vol. PRMU99-242   2000.2

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  1645. A method of interactive specification of interested regions via a volume rendered image with application to virtualized endoscope system

    K. MORI, Y. HIGUCHI, Y. SUENAGA, J.TORIWAKI, J. HASEGAWA, K. KATADA

    Proc. of SPIE   Vol. 3978   page: 134-145   2000.2

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  1646. 可変ベジエ曲面による形状モデルを用いた3次元胸部X線CT像からの肺野領域抽出

    電子情報通信学会論文誌   Vol. J83-DII ( 1 ) page: 165-174   2000.1

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  1647. 画像からの背骨姿勢推定に関する予備的検討

    古川大介, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU99-205   page: 9-16   2000.1

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  1648. 3次元医用画像の変形に基づく管腔臓器の仮想展開像の作成と胃X線CT像への応用

    森健策,櫛田晃弘,長谷川純一,末永康仁,鳥脇純一郎, 片田和廣

    電子情報通信学会論文誌   Vol. J83-D-II ( 1 ) page: 351-361   2000.1

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  1649. 医用内視鏡ナビゲーションシステム実現のための内視鏡カメラの動きの推定法

    中島弘倫, 森健策, 末永康仁, 鳥脇純一郎, 長谷川純一

    電子情報通信学会技術研究報告   Vol. MI99-51   page: 51-56   2000.1

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  1650. 3次元腹部X線CT像からの胃壁ひだ領域自動抽出手法の比較検討

    渡辺恵人、長谷川純一、目加田慶人、森 健策、縄野 繁

    電子情報通信学会技術研究報告   Vol. MI99-50   2000.1

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  1651. 3次元腹部X線CT像を用いた仮想胃展開像作成手法の改善

    伊達宣之、森 健策、鳥脇純一郎、長谷川純一、安野泰史、片田和廣

    電子情報通信学会技術研究報告   Vol. MI99-49   2000.1

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  1652. 3次元医用画像の変形に基づく管腔臓器の仮想展開像の作成と胃CT像への応用

    電子情報通信学会論文誌   Vol. J83-DII ( 1 ) page: 165-174   2000

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  1653. ICAを用いた顔画像の表現法および顔認識システムへの応用について

    二村直広, 岡田和典, 赤松 茂, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU99-180   page: 21-28   1999.12

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  1654. Development of Interactive Visualization System of Large Scale Turbulent Flows

    Kensaku Mori, Tetsuya Ohno, Yasuhito Suenaga

        page: 210-221   1999.11

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  1655. 顔画像からの目領域推定に関する一手法の目領域抽出の能力評価

    小田竜也, 渡辺淳, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU99-114   page: 99-104   1999.11

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  1656. 形状のばらつきを考慮した肺輪郭モデルによる3次元胸部X線CT像からの肺野領域抽出

    北坂孝幸、森 健策、長谷川純一、鳥脇純一郎

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 23-24   1999.11

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  1657. 個別人体モデル上への張り付けによる運動機能情報の動的可視化システムとその応用

    稲葉 洋、長谷川純一、肥田満裕、山本英弘、北川 薫

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 43-44   1999.11

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  1658. 複数の知識モデルを利用した気管支枝名自動対応付け手順の改善

    吉田裕一、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣、森 雅樹、高畠博嗣、名取 博

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 37-38   1999.11

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  1659. 3次元胸部X線CT像における腫瘤影のグラディエントを用いた良悪性鑑別特徴の改良

    近藤真樹、平野 靖、長谷川純一、鳥脇純一郎、大松広伸、江口研二

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 25-26   1999.11

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  1660. 仮想化内視鏡システムと実内視鏡との融合―仮想化内視鏡システムを用いた実内視鏡像のカメラ動きの推定―

    森 健策、中島弘倫、末永康仁、鳥脇純一郎、長谷川純一、片田和廣、名取 博、高畠博嗣

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 45-46   1999.11

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  1661. ボリュームレンダリング法における関心領域の指定法の開発と仮想化内視鏡システムへの応用

    樋口義剛、森 健策、鳥脇純一郎、長谷川純一

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 159-160   1999.11

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  1662. 仮想胃展開のための切開線入力法の改善

    伊達宣行、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第9回コンピュータ支援画像診断学会大会/第8回日本コンピュータ外科学会大会合同論文集     page: 147-148   1999.11

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  1663. 想化内視鏡システムにおける管腔臓器の径計測手法に関する検討

    林雄一郎, 森健策, 斎藤豊文, 長谷川純一, 鳥脇純一郎

    MEDICAL IMAGING TECHNOLOGY(第18回日本医用画像工学会大会特集号)   Vol. 17 ( 4 ) page: 469-470   1999.7

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  1664. 3次元腹部CT像に基づく仮想胃展開像作成手法の改善

    齋藤豊文、伊達宣行、森下義也、森 健策、長谷川純一、鳥脇純一郎

    MEDICAL IMAGING TECHNOLOGY(第18回日本医用画像工学会大会特集号)   Vol. 17 ( 4 ) page: 471-472   1999.7

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  1665. ボリュームレンダリング画像における関心領域の指定法の開発とその仮想化内視鏡システムへの応用

    樋口義剛、森 健策、長谷川純一、鳥脇純一郎

    MEDICAL IMAGING TECHNOLOGY(第18回日本医用画像工学会大会特集号)   Vol. 17 ( 4 ) page: 467-468   1999.7

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  1666. Extension of Virtual Bronchoscopy System as a Teaching Tool

    Kensaku MORI, Shinji YAMAZAKI, Jun-ichi HASEGAWA, Jun-ichiro TORIWAKI, Yasuhito SUENAGA, Kazuhiro KATADA, Hiroshi NATORI

    Excerpta Medical International Congress Series (Proc. of CARS'99)   Vol. 1191   page: 166-170   1999.6

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  1667. Automated extraction of the lung area from 3D chest X-ray CT images based upon the 3D shape model deformation

    Takayuki KITASAKA, Kensaku MORI, Jun-ichi HASEGAWA, Jun-ichiro TORIWAKI

    Excerpta Medical International Congress Series (Proc. of CARS'99)   Vol. 1191   page: 194-198   1999.6

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  1668. 3次元CGアニメーションにおけるカメラワークの自動生成法

    太田篤史, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU99-5   page: 31-38   1999.5

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  1669. ボリュームレンダリング画像における関心領域の指定とその仮想化内視鏡への応用

    森 健策、石川貴洋、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第38回日本ME学会大会論文集     page: 2C1-5   1999.4

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  1670. Recent Progress in Medical Image Processing - Virtualized Human Body and Computer-Aided Surgery

    Jun-ichiro Toriwaki Kensaku Mori

    IEICE Transactions on Information and Systems   Vol. E82-D ( 3 ) page: 611-628   1999.3

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  1671. Automated display of the anatomical name of bronchial branches in a virtual bronchoscopy system and its application as a training tool for medical students

    Kensaku MORI, Yasuhito SUENAGA, Jun-ichiro TORIWAKI, Jun-ichi HASEGAWA, Hirofumi ANNO, Kazuhiro KATADA, Hiroshi NATORI

    Proc. of SPIE   Vol. 3680   page: 301-312   1999.2

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  1672. 実時間手書きストローク解析による数式入力システム(第2報)文字認識機構の改善

    青島 史郎, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   Vol. PRMU98-227   page: 57-64   1999.2

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  1673. 次元医用画像の次元独立な観察支援ツール

    石川貴洋、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    医用画像工学研究会(JAMIT Frontier'99)講演論文集     page: 219-224   1999.1

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  1674. 顔画像からの目領域推定に関する一手法

    小田 竜也, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   Vol. PRMU98-197   page: 39-46   1999.1

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  1675. 車椅子仮想体験システムのための画像を用いた街路凹凸測定手法の予備検討

    柴田 央人, 森 健策, 末永 康仁

    電子情報通信学会技術研究報告   Vol. PRMU98-202   page: 77-84   1999.1

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  1676. 実時間手書数式入力システムにおける機能の拡張

    青島史郎, 森健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 45-46   1998.10

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  1677. 動画像を利用した交通量の自動計測に関する予備的 検討

    大野哲也, 森 健策, 末永康仁

    成10年度後期情報処理学会全国大会講演論文集(2)     page: 171-172   1998.10

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  1678. 動画像を利用した交差点内での歩行者検出に関する予備的検討

    古川大介, 森 健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 140-141   1998.10

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  1679. 多重解像度情報を利用した複数動物体の実時間抽出

    松原敦, 森健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 158-159   1998.10

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  1680. 顔画像を用いた個人識別法の識別能力についての検討

    二村直広, 森健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 132-133   1998.10

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  1681. 多重解像度画像と動的輪郭モデルを用いた顔画像からの目領域の自動抽出

    小田竜也, 大野勝士, 森健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 130-131   1998.10

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  1682. 車椅子仮想体験システムのための画像を用いた街路凹凸測定手法の予備検討

    柴田央人, 森健策, 末永康仁

    平成10年度後期情報処理学会全国大会講演論文集(2)     page: 105-106   1998.10

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  1683. 手術シミュレーションシステムのための弾性臓器の変形手法の検討

    竹内 章、森 健策、長谷川純一、鳥脇純一郎

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 79-80   1998.9

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  1684. 仮想空間・操作を利用した仮想化内視鏡システム

    森 健策、渡名喜元史、齋藤豊文、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 153   1998.9

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  1685. 3次元胸部X線CT像の観察支援ツールに関する基礎的検討

    石川貴洋、林 正和、森 健策、長谷川純一、鳥脇純一郎

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 151-152   1998.9

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  1686. 形状モデルと動的輪郭モデルを用いた3次元胸部X線CT像からの肺野領域抽出

    北坂孝幸、森 健策、長谷川純一、末永康仁、鳥脇純一郎

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 169-170   1998.9

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  1687. 想化内視鏡システムにおける複合現実感型インターフェースの開発

    渡名喜元史、森 健策、長谷川純一、末永康仁、鳥脇純一郎、安野泰史、片田和廣

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 99-100   1998.9

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  1688. 仮想化内視鏡システムにおける内視鏡操作シミュレーション法の開発

    伊達宣之、森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 91-92   1998.9

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  1689. A procedure for automated assignment of anatomical names of bronchial branches extracted from 3-D X-ray CT images and itss application to virtualized endoscope system

    K.Mori, J.Toriwaki, J.Hasegawa, H.Anno, K.Katada

    Excerpta Medical International Congress Series (Proc. of the 1st International Workshop on Computer Aided Diagnosis)   Vol. 1182   page: 107-112   1998.9

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  1690. 気管支枝名自動対応づけ手順における枝探索機構の改善

    吉田裕一、森 健策、長谷川純一、末永康仁、鳥脇純一郎、安野泰史、片田和廣

    第8回コンピュータ支援画像診断学会大会/第7回日本コンピュータ外科学会大会合同論文集     page: 185-186   1998.9

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  1691. 可変形状モデルを用いた3次元胸部X線CT像からの肺野領域抽出

    北坂孝幸、森 健策、長谷川純一、末永康仁、鳥脇純一郎

    画像の認識・理解シンポジウム(MIRU'98)講演論文集II     page: II-213~II-218   1998.7

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  1692. ビジョンエキスパートシステム3D-IMPRESSにおける3次元線図形抽出手順の自動構成

    小崎友彰、周 向栄、森 健策、清水昭伸、長谷川純一、鳥脇純一郎

    画像の認識・理解シンポジウム(MIRU'98)講演論文集II     page: II-125~II-130   1998.7

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  1693. 識型処理に基づく気管支枝名自動対応づけ手順の改善

    吉田裕一、森 健策、長谷川純一、末永康仁、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第17回日本医用画像工学会大会特集号)   Vol. 16 ( 4 ) page: 361-362   1998.7

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  1694. 形状モデルマッチングによる3次元胸部X線CT像からの肺野領域抽出

    北坂孝幸、森 健策、長谷川純一、末永康仁、鳥脇純一郎

    MEDICAL IMAGING TECHNOLOGY(第17回日本医用画像工学会大会特集号)   Vol. 16 ( 4 ) page: 447-448   1998.7

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  1695. 次元腹部CT像に基づく胃の仮想的展開像作成手順の改善

    森 健策、櫛田晃弘、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第17回日本医用画像工学会大会特集号)   Vol. 16 ( 4 ) page: 407-408   1998.7

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  1696. 仮想化内視鏡システムを用いた内視鏡操作シミュレーション

    森 健策、武藤勝彦、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第17回日本医用画像工学会大会特集号)   Vol. 16 ( 4 ) page: 363-364   1998.7

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  1697. Automated Extraction of Lung Area Using Rib Cage Structure in 3-D chest X-Ray CT images

    The Transaction of the Institute of Electronics, Information and Commnication Engineers   Vol. J81-D-II ( 6 ) page: 1429-1438   1998.6

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  1698. A method for generating virtually strected image of stomach usiing 3-D abdominal CT image

    Kensaku Mori, Akihiro Kushida, Toyofumi Saito, Jun-ichi Hasegawa, Yasuhito Suenaga, Jun-ichiro Toriwaki, Hirofumi Anno and Kazuhiro Katada

    Proceedings of the 12th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS'98)   Vol. International Congress Series 1165   page: 112-127   1998.6

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  1699. 多重解像度情報と動き情報を利用した動画像からの手領域抽出

    松原 敦, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU98-21   page: 53-68   1998.5

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  1700. 仮想化内視鏡システムにおける操作感改善の一手法

    森 健策、武藤勝彦、長谷川純一、鳥脇純一郎

    第37回日本ME学会大会論文集     page: 3G2-3   1998.5

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  1701. 実時間手書きストローク解析による数式入力システム

    青島史郎, 森 健策, 末永康仁

    電子情報通信学会技術研究報告   Vol. PRMU98-19   page: 45-52   1998.5

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  1702. Virtualized angioscopy of the thoracic aorta in a rabbit model of atherosclerosis

    Katsuya Yoshida,MD; Masahiro Endo,Ph D; Kensaku Mori,Ph D; Kazuhiro Katada,MD; Makiko Ueda,MD; Jun-ichiro Toriwaki,Ph D; Yukio Tateno,MD

    Japanese Circulation Journal   Vol. 62 ( 3 ) page: 198-200   1998.3

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  1703. 3次元胸部CT像における気管支枝の解剖学的ラベリング手順の改善

    森 健策、石丸江子、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    1998年電子情報通信学会総合大会講演論文集     page: D-12-201   1998.3

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  1704. ビジョンエキスパートシステム3D-IMPRESSにおける線図形抽出手順自動構成法の改善

    小崎友彰、森 健策、長谷川純一、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-88   1998.3

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  1705. 投票空間を利用した3次元ディジタル画像のセグメンテーション支援ツール

    石川貴洋、森 健策、長谷川純一、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-174   1998.3

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  1706. エッジ画素への微小面割当てによる3次元濃淡画像の高速表示法

    林 正和、森 健策、齋藤豊文、長谷川純一、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-115   1998.3

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  1707. 仮想化内視鏡システムのための内視鏡操作シミュレーション

    武藤勝彦、森 健策、長谷川純一、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-206   1998.3

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  1708. 形状変形シミュレーションのための弾性臓器モデルの検討

    竹内 章、森 健策、長谷川純一、末永康仁、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-204   1998.3

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  1709. 3次元腹部CT像を用いた胃の仮想的展開像作成手順の改善

    櫛田晃弘、森 健策、齋藤豊文、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    1998年電子情報通信学会総合大会講演論文集     page: D-12-203   1998.3

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  1710. 形状モデルマッチングによる3次元胸部CT像からの肺野領域抽出

    北坂孝幸、森 健策、長谷川純一、鳥脇純一郎

    1998年電子情報通信学会総合大会講演論文集     page: D-12-202   1998.3

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  1711. 仮想化内視鏡システム-3次元医用画像に基づく仮想化人体の観察システム

    森 健策, 鳥脇純一郎, 長谷川純一

    画像ラボ   Vol. 9 ( 2 ) page: 1-7   1998.2

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  1712. 医用画像処理に対する知識ベース型処理の導入とその3次元CT像への応用

    森 健策,石丸 江子,長谷川 純一,鳥脇 純一郎,安野 泰史,片山 和廣

    医用画像工学研究会 JAMIT FRONTIER '97 講演論文集     page: 30-35   1998.1

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  1713. 3次元腹部CT像に基づく胃の仮想的展開像作成手法

    櫛田 晃弘,森 健策,斎藤 豊文,長谷川 純一,鳥脇純一郎,安野 泰史,片山 和廣,

    医用画像工学研究会 JAMIT FRONTIER '97 講演論文集     page: 98-103   1998.1

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  1714. Visua lization of the Human Body toward the Navigation Diagnosis with the virtualized Human Body(共著)

    Journal of Visualization   Vol. 1 ( 1 ) page: 111-124   1998

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  1715. 仮想化内視鏡システムー3次元送用画像に基づく仮想化人体の観察システムー

    日本工業出版/画像ラボ   Vol. 9 ( 2 ) page: 1-7   1998

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  1716. Automated Labeling of Bronchial Branches in Virtual Bronchoscopy System

    Kensaku MORI, Jun-ichi HASEGAWA, Yasuhito SUENAGA, Jun-ichiro TORIWAKI, Hirofumi ANNO and Kazuhiro KATADA

    Lecture Notes on Computer Science   Vol. 1496   page: 870-878   1998

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  1717. Knowledge acquisition from picture examples using multimedia information processing techniques

    Jun-ichiro Toriwaki, Toyofumi Saito, Akinobu Shimizu, Kensaku Mori and Jun-ichi Hasegawa

    Advanced Database Systems for Integration of Media and User Environments '98, World Scientific     page: 323-328   1998

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  1718. 3次元腹部CT像に基づく胃の仮想的展開像の作成

    櫛田晃弘、森 健策、齋藤豊文、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第7回コンピュータ支援画像診断学会大会/第6回日本コンピュータ外科学会大会合同論文集     page: 107-108   1997.10

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  1719. Automated Assignment Procedure of Anatomical Names of Bronchial Branches Basing upon Knowledge Base and Its Application to Virtualized Bronchoscopy System

    K.Mori, J.Hasegawa, J.Toriwaki, H.Anno and K.Katada

        page: 133-134   1997.10

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  1720. 3次元腹部CT像に基づく胃の仮想的展開像作成手順の提案

    櫛田晃弘、森 健策、齋藤豊文、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第16回日本医用画像工学会大会特集号)   Vol. 15 ( 4 ) page: 421-422   1997.7

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  1721. 胸部CT像から得られた気管支枝への解剖学的枝名の自動対応付けとその応用

    長谷川純一、森 健策、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第16回日本医用画像工学会大会特集号)   Vol. 15 ( 4 ) page: 485-486   1997.7

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  1722. マルチメディア情報ベース技術に基づく事例画像からの知識獲得 -第3報-

    鳥脇 純一郎, 齋藤 豊文, 清水 昭伸, 森 健策, 長谷川 純一

    平成9年度科学研究費重点領域研究 「高度データベース」東京ワークショップ講演論文集     page: 542-547   1997.6

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  1723. 柔らかい臓器表現の一手法とその仮想化内視鏡システムへの応用

    森 健策、関 洋子、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第36回日本ME学会大会論文集     page: O15-2   1997.4

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  1724. 仮想化気管支内視鏡システムにおける知識データベースに基づいた気管支枝名対応付けの一方法

    森 健策、鈴木里実、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    1997年電子情報通信学会総合大会講演論文集     page: D-12-52   1997.3

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  1725. 仮想化人体における2,3の特徴量の計測法とその能力の評価

    安江正宏 森健策 齋藤豊文 長谷川純一 鳥脇純一郎

    Medical Imaging Technology (日本医用画像工学会誌)   Vol. 15 ( 2 ) page: 95-103   1997.3

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  1726. A method for shape deformation of organs in virtualized endoscope system

        page: 135-140   1997.1

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  1727. A method for shape deformation of organ and its application to virtualized endoscope system

    Proceedings of Computer Assisted Rodiology and Surgery     page: 189-194   1997

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  1728. 仮想化気管支内視鏡システム

    森 健策, 鳥脇 純一郎, 長谷川 純一, 安野 泰史, 片田 和廣

    臨床放射線   Vol. 41 ( 11 ) page: 1385-1391   1996.11

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  1729. A sequential thinning algorithm for three dimensional digital pictures using the Euclidean distance transformation and its properties

    The transaction of the institute of electronics, information, communication engineering   Vol. J79-D-II ( 10 ) page: 1675-1685   1996.10

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  1730. Navigation and manipulation tool of virtualized human body (NMVB)

        page: 11-12   1996.10

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  1731. Introduction of dynamic model into virtualized endoscope system

        page: 29-30   1996.10

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  1732. 仮想化内視鏡システムにおける特徴量計測精度の評価

    安江正宏, 森健策, 斉藤豊文, 長谷川純一, 鳥脇純一郎

    第6回コンピュータ支援画像診断学会大会合同論文集/第5回日本コンピュータ外科学会合同論文集     page: 27-28   1996.10

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  1733. A Fast Rendering Method Using the Tree Structure of Objects in Virtualized Bronchus Endoscope System,

    Lecture notes in computer science   Vol. 1131   page: 33-42   1996.9

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  1734. Recognition of bronchus in three dimensional X-ray CT images with applications to virtualized bronchoscopy system

    Kensaku Mori Jun-ichi Hasegawa Jun-ichiro Toriwaki Hirofumi Anno Kazuhiro Katada

    Proc. of 13th International Conference of Pattern Recognition     page: 528-532   1996.8

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  1735. アクティブバルーンモデルを用いた3次元胸部CT像からの肺野領域自動抽出

    森 健策、岡 修次、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(第15回日本医用画像工学会大会特集号)   Vol. 14 ( 4 ) page: 403-404   1996.7

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  1736. 仮想化胃内視鏡システム

    森健策, 長谷川純一, 鳥脇純一郎, 安野泰史, 片田和廣

    MEDICAL IMAGING TECHNOLOGY(第15回日本医用画像工学会大会特集号)   Vol. 14 ( 4 ) page: 483-484   1996.7

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  1737. 角形パッチで構成された多面体上の最短経路の計測と医用画像処理への応用

    安江正宏、森 健策、齋藤豊文、長谷川純一、鳥脇純一郎

    画像の認識・理解シンポジウム(MIRU'96)講演論文集II     page: II-205~II-210   1996.7

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  1738. 気管支内視鏡シミュレーション

    長谷川純一、森 健策、鳥脇純一郎、安野泰史、片田和廣

    1996年テレビジョン学会年次大会講演予稿集     page: 特1-6   1996.7

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  1739. Virtualized endoscope system An application of virtual reality technology to diagnostic aid

    K. Mori, A. Urano, J. Hasegawa, J. Toriwaki, H. Anno, and K. Katada

    IEICE Trans. Inform. Syst   Vol. E79-D ( 6 ) page: 809-819   1996.6

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  1740. 形状の木構造を利用した高速表示手法と仮想化気管支内視鏡システムへの応用

    森健策, 長谷川純一, 鳥脇純一郎, 安野泰史, 片田和宏

    電子情報通信学会パターン認識・メディア理解研究会資料   Vol. 96 ( 140 ) page: 73-80   1996.6

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  1741. Measurement of the minimum distance and the minimal path along the surface of an object defined by triangular patches

        page: 349   1996.3

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  1742. 仮想化気管支内視鏡システムの現状と展望-計算機環境も合わせて-

    森 健策

    CADMニューズレター   ( 15 ) page: 6-12   1996.3

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  1743. 仮想化気管支内視鏡システムにおける腫瘍計測機能の実現

    浦野明裕, 森健策, 長谷川純一, 鳥脇純一郎, 横井茂樹

    1996年電子情報通信学会総合大会講演論文集     page: 437   1996.3

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  1744. 気管支壁強調フィルタを用いた3次元胸部CT像からの気管支領域自動抽出

    櫻井映治、森 健策、長谷川純一

    1996年電子情報通信学会総合大会講演論文集     page: D-560   1996.3

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  1745. エッジ集中度を用いた胃X線二重造影像からのがん病変部自動検出

    大道哲也、長谷川純一、森 健策

    1996年電子情報通信学会総合大会講演論文集     page: D-558   1996.3

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  1746. 仮想化気管支内視鏡システムにおける気管支分岐情報を利用した高速表示の一手法

    森健策, 長谷川純一, 鳥脇純一郎, 安野泰史, 片田和宏

    医用画像工学研究会(JAMIT Frontier'96)講演論文集     page: 39-44   1996.1

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  1747. 仮想化血管内視鏡システム(VVE)の実現とその評価

    安野泰史、森 健策、長谷川純一、鳥脇純一郎、片田和廣

    医用画像工学研究会(JAMIT Frontier'96)講演論文集     page: 45-50   1996.1

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  1748. Virtualized Endoscope System-an application of virtual reality technology to diagnostic aid,

    IEICE Transaction of Information and System   Vol. E79-D ( 6 ) page: 816-825   1996

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  1749. Automated Extraction and Visualization of Bronchus from 3D CT Images of Lung

    Proc. of International COnference on Pattern Recognition'96,   Vol. 3   page: 528-532   1996

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  1750. Thinning algorithm for three-dimensional grog inages and their applications to medical images with comparatiove evaluation of procedure

    The transaction of the institute of electronics, information, communication, engineering   Vol. J79-D~-II ( 10 ) page: 1664-1674   1996

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  1751. 3次元胸部CT像に基づく気管支内視鏡シミュレーションシステム(仮想化気管支内視鏡システム)

    森健策 長谷川純一 鳥脇純一郎 安野泰史 片田和廣

    医用電子と生体工学   Vol. 33 ( 4 ) page: 45-51   1995.12

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  1752. 仮想化気管支内視鏡システムにおける距離・角度計測機能の実現

    浦野明裕, 森健策, 長谷川純一, 鳥脇純一郎, 横井茂樹

    平成7年度日本ME学会東海支部学術集会論文集     page: 31   1995.10

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  1753. Automated extraction of lung area using rib cage structure in 3D chest X-ray CT images

        page: 147-148   1995.10

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  1754. Development of virtualized bronchoscope system using chest X-ray CT images

      Vol. 13 ( 4 ) page: 619-620   1995.7

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  1755. エッジベクトルに基づく胃がん検出用集中度フィルタの性質

    長谷川純一、丸山勝也、森 健策

    MEDICAL IMAGING TECHNOLOGY(日本医用画像工学会第14回大会特集号)   Vol. 13 ( 4 ) page: 577-578   1995.7

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  1756. Three-dimensional thinning algorithm for gray imaages for analysis of linear shadows in CT images

      Vol. 13 ( 4 ) page: 479-480   1995.7

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  1757. Lung area extraction using rib cage structure in 3D chest X-ray CT images

      Vol. 13 ( 4 ) page: 481-482   1995.7

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  1758. Three-dimensional thinning algorithm for gray images and its application to medical images

      Vol. 95 ( 164 ) page: 91-96   1995.6

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  1759. Measurement of the minimum distance and the minimal path along the surface of an object in 3D medical images

      Vol. 95 ( 164 ) page: 85-90   1995.6

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  1760. Automated Extraction and Visualization of Bronchus from 3D CT Images of Lung

    Lecture Notes in Computer Science   Vol. 905   page: 542-548   1995.4

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

  1761. Automated extraction of bronchus areas from 3-D X-ray CT images using position variant thresholding

        page: 145-146   1994.10

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    Authorship:Lead author   Language:Japanese  

  1762. 3次元領域拡張法を用いた3次元胸部X線CT像からの気管支領域の自動抽出

    森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    MEDICAL IMAGING TECHNOLOGY(日本医用画像工学会第13回大会特集号)   Vol. 12 ( 4 ) page: 477-478   1994.7

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    Authorship:Lead author   Language:Japanese  

  1763. A method to extract pipe structured components in three dimen sional medical images and simulation of bronchus endscope images

        page: 269-274   1994.7

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    Authorship:Lead author   Language:Japanese  

  1764. A Procedure with position-variant thresholding and distance transformation for auto mated detection of long cancer lesions from 3-D chest X-ray CT images

    Medical Imaging Technology   Vol. 12 ( 3 ) page: 216-223   1994.5

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

  1765. 3次元胸部CT像からの気管支領域の自動抽出

    森 健策、長谷川純一、鳥脇純一郎、安野泰史、片田和廣

    第33回日本ME学会大会論文集     page: 215   1994.5

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  1766. Automated extraction of bronchus area from three dimensional X-ray CT images

      Vol. 93 ( 520 ) page: 49-56   1994.3

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    Authorship:Lead author   Language:Japanese  

  1767. Reduction of false positive in cancer lesion candidates extracted from 3D-chest X-ray CT images

        page: 13   1993.10

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    Authorship:Lead author   Language:Japanese  

  1768. 3次元ディジタル画像処理による胸部連続CT像からの肺がん候補領域の自動抽出 Reviewed

    長谷川 純一 ,森 健策, 鳥脇 純一郎, 安野 泰史, 片田 和廣

    電子情報通信学会論文誌   Vol. J76-D-II ( 8 ) page: 1587-1594   1993.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  1769. Automated extraction of lung cancer lesions from 3D chest CT images

        page: 411-412   1993.7

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    Authorship:Lead author   Language:Japanese  

  1770. 肺がん候補領域の自動抽出を目的とした連続スライス胸部CT像の3次元画像解析

    森健策, 長谷川純一, 鳥脇純一郎

    1993年電子情報通信学会春季大会講演論文集     page: 7-259   1993.3

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    Authorship:Lead author   Language:Japanese  

  1771. Automated extraction of lung cancer lesions form three-dimensional X-ray CT images

        page: 66-71   1993.1

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    Authorship:Lead author   Language:Japanese  

  1772. メゾスコピック領域の解剖学的構造解析を目指すミクロとマクロのCTの統合解析 Reviewed

    森 健策

      Vol. 40 ( 1 ) page: 20 - 25   0200.1

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Books 24

  1. CAD in lung

    Mori K.( Role: Joint author)

    Handbook of Medical Image Computing and Computer Assisted Intervention  2019.1  ( ISBN:9780128161760

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    Language:Japanese

    The lung is a major target organ in medical image computing and computer-assisted surgery. The lung, whose major function is the exchange of gas between the air and the blood, has many anatomical structures including lobes, blood vessels, and airways. Recognition of this anatomical structure is important in the creation of a computer-aided diagnosis (CAD) system for the lung. Lung CAD is a pioneering research area in the history of CAD development. In this chapter, we introduce several applications of lung CAD, including lung cancer detection and qualitative lung cancer diagnosis. Topics include lung nodule detection, emphysema diagnosis, and lung anatomical structure analysis.

    DOI: 10.1016/B978-0-12-816176-0.00009-0

    Scopus

  2. `医療AIとディープラーニングシリーズ 内視鏡画像AI

    (基礎編 Chapter1: 概論)

    オーム社  2022.11  ( ISBN:978-4-274-22564-2

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    Total pages:250   Responsible for pages:1-23  

  3. 最先端ナノライフシステム研究

    森 健策(機械学習に基づいた医用画像認識とその診断治療)

    丸善プラネット  2022.3  ( ISBN:978-4-86345-520-7

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    Total pages:221   Responsible for pages:94-102  

  4. Multidisciplinary Comuputational Anatomy

    Kensaku Mori

    Springer  2022.2  ( ISBN: 978-981-16-4324-8

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    Total pages:398   Responsible for pages:45-55  

  5. AI・ナノ・量子による超高感度・迅速バイオセンシング-超早期パンデミック検査・超早期診断・POCTから健康長寿社会へ-

    森 健策(機械学習とその医療支援応用)

    シーエムシー出版  2021.8  ( ISBN:978-4-7813-1609-3

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    Total pages:244   Responsible for pages:64-75  

  6. 新・医用放射線科学講座 医用画像情報工学

    森 健策(3Dプリンティング技術の医療応用)

    医歯薬出版株式会社  2021.1 

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    Total pages:240   Responsible for pages:134-139  

    ISBN 978-4-263-20648-5

  7. 新・医用放射線科学講座 医用画像情報工学

    森 健策(3Dプリンティング技術の医療応用)

    医歯薬出版株式会社  2021.1  ( ISBN:978-4-263-20648-5

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    Total pages:240   Responsible for pages:134-139  

  8. 未来からの問い 日本学術会議100年を構想する

    内閣府( Role: Joint author)

    日経印刷出版  2020.9  ( ISBN:978-4-86579-234-8

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    Total pages:410   Language:Japanese

  9. 新・医用放射線科学講座 医用画像情報工学

    藤田広志他、森健策( Role: Joint author ,  3Dプリンティング技術の医療応用)

    医歯薬出版株式会社  2020.2  ( ISBN:978-4-263-20648-5

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    Total pages:240   Language:Japanese

  10. 新・医用放射線科学講座 医用画像情報工学 3Dプリンティング技術の医療応用

    森 健策( Role: Sole author)

    医歯薬出版株式会社  2019.4 

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    Language:Japanese

  11. 医用画像 ディープラーニング入門  Chapter14, 大腸内視鏡画像診断支援

    森 健策( Role: Sole author)

    オーム社  2019.4 

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  12. 最先端医療機器の病院への普及展望と今後の製品開発・第2章第5節、画像診断機器における最新の画像認識・画像処理技術の開発

    森 健策( Role: Sole author)

    (株)技術情報協会  2018.5 

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  13. 多元計算解剖学の基礎と臨床への応用・第2章-5, 人体画像データベース技術

    森 健策( Role: Sole author)

    誠文堂新光社  2018.3 

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    Language:Japanese

  14. 新・医用放射線科学講座 医用画像情報工学・3Dプリンティング技術の医療応用

    森 健策( Role: Sole author)

    医歯薬出版株式会社  2018.2 

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    Language:Japanese

  15. 人工知能学大辞典・人工知能学会編, 第9章, 9-24, 医用画像処理

    森 健策( Role: Sole author)

    共立出版  2017.7 

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    Language:Japanese Book type:Dictionary, encyclopedia

  16. 4 3Dプリンタによる臓器モデル造形 バイオ・医療への3Dプリンティング技術の開発最前線

    森 健策( Role: Joint author)

    シーエムシー・リサーチ  2016.12 

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    Language:Japanese

  17. 4 3Dプリンタによる臓器モデル造形 バイオ・医療への3Dプリンティング技術の開発最前線

    森 健策( Role: Joint author)

    シーエムシー・リサーチ  2016.12 

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    Responsible for pages:57-66   Language:Japanese

  18. 医用画像ハンドブック

    森 健策 監修 石田 隆行, 桂川 茂彦, 藤田 広志( Role: Joint author)

    ㈱オーム社  2010.11  ( ISBN:978-4-274-20955-0

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  19. 3D Virtual Imageの有用性, 脳神経外科 NEUROLOGICAL SURGERY

    森 健策( Role: Joint author)

    医学書院  2009.10 

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    Language:Japanese

  20. 新インターユニバーシティ メディア情報処理

    末永 康仁 坂野秀樹 北岡教英 森健策 竹内義則 北坂孝幸( Role: Joint author)

    オーム社  2008.11 

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  21. 画像情報処理〈2〉表示・グラフィックス編 (ME教科書シリーズ)

    鳥脇 純一郎, 森 健策, 平野 靖( Role: Joint author)

    コロナ社  2008.11 

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    Language:Japanese

  22. A method for generatry virtually stretchd image of stomach using 3-D abdominal CT images(共著)

    Elsevier Science/Computer Assisted Radiology and Surgery  1998 

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    Language:English

  23. Source of error in image registration for cranial image-guided surgery(共著)

    .R. Maurer Jr, T Rohlfing, D. Dean, J.B. West, D. Rueckert, K. Mori, R. Shahidi, D.P. Martin, M.P. Heibrun, R.J. Maciunas( Role: Joint author)

    Thieme  1998 

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    Language:English

  24. 形態と機能からみた呼吸器疾患 病態を読み解くメカニズム

    森 健策

    南江堂  ( ISBN:978-4-524-24996-1

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    Total pages:336   Responsible for pages:298-303  

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MISC 4

  1. 20mm以上の大腸病変に対するコンピューター自動診断システムの浸潤癌診断性能に関する検討

    加賀 浩之, 工藤 進英, 武田 健一, 森 悠一, 片岡 伸一, 前田 康晴, 小川 悠史, 一政 克朗, 三澤 将史, 工藤 豊樹, 若村 邦彦, 馬場 俊之, 日高 英二, 石田 文生, 井上 晴洋, 小田 昌宏, 森 健策, 山野 三紀

    日本大腸肛門病学会雑誌   Vol. 72 ( 5 ) page: 262 - 262   2019.5

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    Language:Japanese   Publisher:(一社)日本大腸肛門病学会  

  2. AIを用いた大腸内視鏡診療(病変の自動検出・病理診断予測)は実用化できるか

    森悠一, 工藤進英, 三澤将史, 伊東隼人, 森健策

    先進内視鏡治療研究会   Vol. 13th   2019

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  3. Influence of using 3D images and 3D-printed objects on the formation of spatial mental models of experts and novices

      Vol. 79   page: 39 - 44   2017.3

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    Language:Japanese  

    CiNii Books

  4. 20mm以上の大腸病変に対するコンピューター自動診断システムの浸潤癌診断性能に関する検討

    加賀浩之, 工藤進英, 武田健一, 森悠一, 片岡伸一, 前田康晴, 小川悠史, 一政克朗, 三澤将史, 工藤豊樹, 若村邦彦, 馬場俊之, 日高英二, 石田文生, 井上晴洋, 小田昌宏, 森健策, 山野三紀

    大腸癌研究会プログラム・抄録集   Vol. 87th   page: 70   2017

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    Language:Japanese  

    J-GLOBAL

Presentations 191

  1. 信頼されるAIによる内視鏡診断治療支援 Invited

    森 健策

    次世代内視鏡・医工連携シンポジウム  2023.3.20 

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    Event date: 2023.3

  2. スケールシームレスなイメージングによる呼吸機能解析の今後の展望 Invited

    森 健策

    第14回呼吸機能イメージング研究会学術集会  2023.1.28 

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    Event date: 2023.1

  3. Connection preserving intestine segmentation method for intestinal obstruction cases

    Sirui Chen, Hirohisa Oda, Qin An, Yuichiro Hayashi,Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda and Kensaku Mori

    IFMIA2023  2023.1.10 

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    Event date: 2023.1

  4. Quality Improvement for Low-magnification Optical Microscopic Image in Mouse Cerebral Cortex Imaging International conference

    Yunheng Wu, Yuichiro Hayashi, Masahiro Oda, Shuntaro kawamura,Takanori Takebe, Kensaku Mori

    'IFMIA2023  2023.1.11 

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    Event date: 2023.1

  5. Improving Automated Substantia Nigra Segmentation Accuracy Using a Novel Test-time Normalization Method

    Tao Hu, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kensaku Mori, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki

    RSNA2022 

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    Event date: 2022.11 - 2022.12

  6. 遠隔医療を支える画像・映像診断支援技術としての人工知能と機械学習 Invited

    第26回日本遠隔医療学会学術大会  2022.10.28 

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    Event date: 2022.10

    Venue:埼玉会館  

  7. 医療ビッグデータとAIを用いた内視鏡診断システム開発に関する諸課題と今後の展開-コンピューターによる革新的診断治療支援機器実現に向けて-

    森 健策

    JDDW2022  2022.10.29 

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    Event date: 2022.10

    Venue:福岡サンパレス  

  8. Esophagus Achalasia Diagnosis from Esophagoscopy Based on A Serial Multi-scale Network

    Kai Jiang, Masahiro Oda, Yuichiro Hayashi, Hironari Shiwaku, Masashi Misawad, Kensaku Mori

    Joint MICCAI workshop 2021, AE-AI/CARE/OR2.0 

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    Event date: 2022.9

  9. Potential of Glaucoma AI from the viewpoint of date scientist‘’データサイエンティストから見た緑内障AIの可能性 Invited

    森 健策

    第33回日本緑内障学会  2022.9.16 

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    Event date: 2022.9

  10. イメージングとその知的処理による診断治療支援 Invited

    森 健策

    第31回日本バイオイメージング学会学術集会  2022.9.3 

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    Event date: 2022.9

  11. Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network

    Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 

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    Event date: 2022.6

  12. he Way of Medical Care in the AI Era - A New Era of Medical Care through Coexistence with AI Invited

    2022.5.18 

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    Event date: 2022.5

  13. AI新時代におけるあたらしい病理学の確立に向けて-情報学の立場から Invited

    森 健策

    第111回日本病理学会総会  2022.4.16 

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    Event date: 2022.4

    Venue:神戸コンベンションセンター  

  14. AIと医療支援の最前線~機械学習を用いた医用画像診断支援技術開発の現場から~ Invited

    森 健策

    メディカルメッセ  2022.3.10 

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    Event date: 2022.3

  15. 情報学から見た胃がん診断治療におけるAI利活用の可能性 Invited

    森 健策

    第94回日本胃癌学会総会  2022.3.3 

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    Event date: 2022.3

  16. AI for Medical Imaging - Current status and future Invited International conference

    Kensaku Mori

    6th Taiwan-Japan Academic Research Organization Workshop  2022.2.15 

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    Event date: 2022.2

  17. AIとスパコンで医療はどう変わるのか? Invited

    森 健策

    学士会 名古屋講演会  2022.2.4 

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    Event date: 2022.2

  18. MICCAI 2021参加報告

    伊東 隼人, 小田 昌宏, 申 忱, 大竹 義人, 花岡 昇平, 諸岡 健一, 本谷 秀堅, 古川 亮, 増谷 佳孝, 森 健策

    電子情報通信学会技術研究報告(MI) 

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    Event date: 2022.1

  19. 機械学習技術を用いたCOVID-19CT画像解析と画像データベース基盤 Invited

    森 健策

    第13回呼吸機能イメージング研究会学術集会  2022.1.22 

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    Event date: 2022.1

  20. Micro CT Assisted Cross-Modality Super-Resolution Towwrd Observing Micrometer-scale Anatomical Structure From Clinical CT tilizing AI International conference

    ong Zheng, Hirohisa Oda, Yuichiro Hyashi, Masahiro Oda, Shota Nakamura, Hiroshi Natori, HIrotsugu Takabetake, Masaki Mori, Kensaku Mori

    RSNA2021 

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    Event date: 2021.11 - 2021.12

  21. Mechanism Of AIs In COVID-19 CAD And Techniques To Improve AI Performance International conference

    Masahiro Oda, Yuichiro Hayashi, Zheng Tong, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, Masahiro Hashimoto, Hiroshi Natori

    RSNA2021 

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    Event date: 2021.11 - 2021.12

  22. How Does AI Reconstruct 3D Intestinal Structures of Ileus and Intestinal Obstruction Cases From 3D CT? - Toward AI-based Emergency Diagnostic Assistance of Intestial Diseases International conference

    Hirohisa Oda, Yuichiro Hyashi, Masahiro Oda, Akinari Hinoki, HIroo Uchida, Kensaku Mori, Tkayuki Kitasaka, Aitaro Takimoto, Kojiro Suzuki

    RSNA2021 

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    Event date: 2021.11 - 2021.12

  23. 角膜疾患のAIを用いた診断支援の開発のための工夫 Invited

    森 健策

    第2回日本眼科AI学会総会, オンライン教育セミナープログラム第2回講座  2021.11.11 

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    Event date: 2021.11

  24. `ビッグデータ活用に関する新展開と国際連携 Invited

    森 健策

    学術フォーラム コロナ禍を共に生きる#3パンデミックに世界はどう立ち向かうのか~国際連携の必然性と可能性~  2021.10.23 

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    Event date: 2021.10

  25. 人工知能/機械学習に基づく診断治療支援の最前線 Invited

    森 健策

    第57回胆道学会学術集会  2021.10.8 

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    Event date: 2021.10

  26. Spatially-variant Biases Considered Self-supervised Depth Estimation Based on Laparoscopic Videos International conference

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2021)  

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    Event date: 2021.9 - 2021.10

  27. Uncertainty Meets 3D-Spatial Feature in Colonoscopic Polyp-Size Determination International conference

    Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Itoh, Kinichi Hotta, Kensaku Mori

    Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2021)  2021.9.27 

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    Event date: 2021.9 - 2021.10

  28. Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation International conference

    Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

    Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2021)  2021.9.27 

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    Event date: 2021.9 - 2021.10

  29. 3Dプリンターの基礎と医療への応用-AIと3Dプリンティング Invited

    森 健策

    第57回日本小児循環器学会総会・学術集会  2021.7.9 

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    Event date: 2021.7

  30. 機械学習を利用した医用画像認識理解による医療支援 Invited

    森 健策

    3次元画像コンファレンス2021  2021.7.2 

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    Event date: 2021.7

  31. Binary Polyp-Size Classification based on Deep-Learning Estimation of Spatial Information International conference

    H. Itoh, M. Oda, K. Jiang, Y. Mori, M. Misawa, S.- E. Kudo, K. Imai, S. Ito, K. Hotta, K. Mori

    CARS2021 

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    Event date: 2021.6

  32. A cascaded fully convolutional network framework for dilated pancreatic duct segmentation International conference

    C. Shen, H. R. Roth, Y. Hayashi, M. Oda, T. Miyamoto, G. Sato, K. Mori

    CARS2021 

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    Event date: 2021.6

  33. Depth-based branching level estimation for bronchoscopic navigation International conference

    Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori , Kensaku Mori

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    Event date: 2021.6

  34. Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection International conference

    T. Hu, M. Oda, Y. Hayashi, Z. Lu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori

    CARS2021 

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    Event date: 2021.6

  35. 医用画像AIとその社会実装 – AI搭載医療機器実現と社会実装における諸課題 Invited

    森 健策

    第3回日本メディカルAI学会学術集会  2021.6.12 

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    Event date: 2021.6

  36. Watershedを用いた肺マイクロCT像からの肺胞セグメンテーション

    椎名 健, 小田 紘久, 鄭 通, 中村 彰太, 小田 昌宏, 森 健策

    電子情報通信学会技術研究報告(MI) 

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    Event date: 2021.5

  37. 深層学習に基づく腎癌領域の自動抽出手法の検討

    趙 武楊, 申 忱, 小田 昌宏, 林 雄一郎, 東田 直樹, 橋本 正弘, 陣崎 雅弘, 森 健策

    電子情報通信学会技術研究報告(MI) 

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    Event date: 2021.5

  38. AIに基づいたCOVID-19肺炎CT画像の解析手法 Invited

    森 健策

    第80回日本医学放射線学会総会  2021.4.16 

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    Event date: 2021.4

  39. 人工知能による医療支援 -未来医療に向けて Invited

    森 健策

    第126回日本解剖学会, 第98回日本生理学学会大会  2021.3.30 

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    Event date: 2021.3

  40. Future of AI-assisted endoscopic procedure Invited

    Kensaku Mori

    MICAD2021 The 2nd International Conference on Medical Imaging and Computer-Aided Diagnosis   2021.3.26 

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    Event date: 2021.3

  41. COVID-19とLMS - 大学教育の大幅な変化を経験して Invited

    森 健策

    情報処理学会第83回全国大会  2021.3.19 

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    Event date: 2021.3

  42. MICCAI 2020参加報告

    斉藤 篤, 小田 昌宏, 大竹 義人, 花岡 昇平, 諸岡 健一, 宮内 翔子, 増谷 佳孝, 申 忱, 森 健策

    電子情報通信学会技術研究報告(MI)  2021.3.17 

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    Event date: 2021.3

  43. スーパーコンピュータを活用した新たなイノベーションの創出 Invited

    森 健策

    富士通エグゼクティブフォーラムin 中部  2021.2.3 

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    Event date: 2021.2

  44. `Unpaired Medical Image Translation between Portal-venous Phase and Non-contrast CT Volumes for Multi-organ Segmentation

    Chen Shen, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa and Kensaku Mori

    IFMIA2021  2021.1.26 

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    Event date: 2021.1

  45. 大腸ポリープ画像診断ソフトウェアEndobrain 開発に至る基礎研究の経過- 画像処理研究の立場から Invited

    森 健策

    第3 回 ビッグデータ・AI 研究会 (online)  2021.1.24 

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    Event date: 2021.1

  46. AMEDプロジェクト 画像解析の貢献について- 名古屋大学での取り組みを中心に- Invited

    森 健策

    国立情報学研究所 設立20周年記念式典 

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    Event date: 2020.12

  47. Super Resolution of Chest CT Images Using CycleGAN and Micro CT Image Database International conference

    Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Hiroshi Natori, Hirotsugu Takabatake, Masaki Mori, Kensaku Mori

    RSNA 2020 

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    Event date: 2020.11 - 2020.12

  48. How Fully Convolutional Networks Trained From Small Amount of Data Using Fine-Tuning in Multi-Organ Segmentation From CT Images? International conference

    Yuichiro Hayashi, Chen Shen, Masahiro Oda, Kazunari Misawa, Kensaku Mori

    RSNA2020 

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    Event date: 2020.11 - 2020.12

  49. Why AI Misses Small Organs and How to Improve Their Recognition Performances International conference

    Masahiro Oda, Kanako K. Kumamaru, Shigeki Aoki, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, Masaki Mori

    RSNA 2020 

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    Event date: 2020.11 - 2020.12

  50. Wavelet-Based Fully Convolution Network for Estimating Artery Contrast CT Images From Non-Contrast CT Images International conference

    Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

    RSNA2020 

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    Event date: 2020.11 - 2020.12

  51. How Does Graphical Convolutional Neural Network Work for Anatomical Labeling of Blood Vessels Extracted From CT Images? International conference

    Kensaku Mori, Yuta Hibi, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Hayato Itoh,

    RSNA2020 

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    Event date: 2020.11 - 2020.12

  52. スーパーコンピューター「不老」について Invited

    森 健策

    日本弁理士会東海会 

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    Event date: 2020.11

  53. AI and image-based diagnosis and surgery assistances Invited

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    Event date: 2020.11

  54. Synthetic laparoscopic video generation for machine learning-based surgical

    Yuichiro Hayashi, Takuya Ozawa, Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito , Kensaku Mori

    Joint MICCAI workshop 2020, AE-CAI/CARE/OR2.0, 23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION 

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    Event date: 2020.10

  55. Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

    Chen Shen, Pochuan Wang, Holger R Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Wei-Chih Liao, Kao-Lang Liu, Weichung Wang, Kensaku Mori

    1st MICCAI Workshop on Distributed And Collaborative Learning, 23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION  

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    Event date: 2020.10

  56. 人工知能技術を用いた医療の変革- 診断治療支援の立場から Invited

    森 健策

    第63回日本神経化学大会 

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    Event date: 2020.9

  57. COVID-19胸部CT像のAI解析 Invited

    森 健策

    GPUを活用したCOVID-19創薬やスパコンの画像診断~AIを活用した新型コロナ研究に関するNVIDIAウェビナー 

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    Event date: 2020.8

  58. A visual SLAM based bronchoscope tracking scheme for bronchoscopic navigation International conference

    C. Wang, M. Oda, Y. Hayashi, B. Villard, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, H. Natori, K. Mori

    34th International Congress and Exhibition on Computer Assisted Radiology (CAR) 

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    Event date: 2020.6

  59. Development of a robust endocytoscopic-image classification method towards the construction of practical CAD system in endocytoscopy - from the viewpoint of generalisation ability for non-specific hospital diagnosis International conference

    H. Itoh, Y. Mori, M. Misawa, S. –E. Kudo, K. Hotta, K. Ohtsuka, S. Saito, Y. Saito, H. Ikematsu, Y. Hayashi, M. Oda, K. Mori

    22nd International Conference on Computer-Aided Diagnosis and Artificial Intelligence, (CAD-AI) 

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    Event date: 2020.6

  60. 人工知能と多元計算解剖モデルを利用した診断治療支援 Invited

    森 健策

    第59回日本生体医工学会大会 

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    Event date: 2020.5

    Venue: 岡山コンベンションセンター, (online)  

  61. 先進的な放射線画像処理のためのディープニュートラルネットワーク Invited

    森 健策

    第79回日本医学放射線学会総会 

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    Event date: 2020.5 - 2020.6

  62. 名古屋大学における情報基盤を活用したCOVID-19対応 - オンライン学習の観点から Invited

    森 健策

    4月からの大学等遠隔授業に関する取組状況共有サイバーシンポジウム 

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    Event date: 2020.3

  63. バーチャル膵管鏡を用いた膵癌の診断 Invited

    森 健策

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    Event date: 2020.2

    Venue: 国立研究開発法人量子科学技術研究開発機構 放射線医学総合研究所, 千葉県  

  64. Future Artificial intelligence in OR Invited

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    Event date: 2019.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  65. 腹腔鏡下胃切除支援のための人工知能を用いたCT画像と術中腹腔鏡映像の解析 Invited

    林 雄一郎, 三澤 一成, 森 健策

    第32回日本内視鏡外科学会総会 

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    Event date: 2019.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:パシフィコ横浜   Country:Japan  

  66. 人工知能による医療支援 Invited

    森 健策

    第34回日本臨床リウマチ学会 

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    Event date: 2019.11 - 2019.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:名古屋国際会議場   Country:Japan  

  67. 人工知能による医療の質の向上 Invited

    森 健策

    第14回医療の質・安全学会学術集会 

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    Event date: 2019.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  68. 人工知能を利用した医療支援 Invited

    森 健策

    第81回日本臨床外科学会総会 

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    Event date: 2019.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  69. AI/機械学習に基づくComputational medicine とその臨床展開 Invited

    森 健策

    第73回日本臨床眼科学会 

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    Event date: 2019.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  70. Artificial intelligence in endoscopic procedures International conference

    Kensaku Mori

    International Conference on Medical Imaging and Augmented Reality (MIAR), MICCAI 2019 

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    Event date: 2019.10

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Intercontinental Hotel Shenzhen   Country:China  

  71. 大腸肛門病理学におけるAI利用の将来像 Invited

    森 健策

    日本大腸肛門病学会学術集会 

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    Event date: 2019.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  72. 機械学習を用いた医療支援 Invited

    森 健策

    第84回日本泌尿器気学会東部総会 

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    Event date: 2019.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:ヒルトン東京お台場   Country:Japan  

  73. 名古屋大学データ活用関係のプロジェクト(自動運転・医療画像など) Invited

    森 健策

    データ活用社会創成シンポジウム 

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    Event date: 2019.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:東京大学 浅野キャンパス   Country:Japan  

  74. 機械学習を用いた医用画像解析 Invited

    森 健策

    Advanced Medical Imaging 研究会, SAMI2019 

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    Event date: 2019.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:ホテルエルセラーン大阪   Country:Japan  

  75. 人工知能による画像診断支援-どこまでできたか.そして,その先は? Invited

    森 健策

    第46回 日本小児内視鏡研究会 

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    Event date: 2019.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋国際センター   Country:Japan  

  76. 医用画像AI Invited

    森 健策

    第94回日本医療機器学会大会 

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    Event date: 2019.6

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:大阪国際会議場   Country:Japan  

  77. コンピュータ科学の医学分野への挑戦-画像処理研究が医学をどのように変えるのか?-

    森 健策

    2019年度 名大研究室の扉 in 河合塾 第32回情報学部 

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    Event date: 2019.5

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  78. 人工知能・機械学習を用いた医用画像の診断支援 Invited

    森 健策

    第30回日本医学会総会2019中部 

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    Event date: 2019.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋国際会議場   Country:Japan  

  79. 人工知能技術を用いた医療支援 - 医用画像診断支援の経験より Invited

    森 健策

    第338回日本臨床化学会 東海・北陸支部例会 

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    Event date: 2019.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学   Country:Japan  

  80. AI診断の現状と限界 Invited

    森 健策

    第42回日本脳神経CI学会総会 

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    Event date: 2019.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:六本木アカデミーヒルズ   Country:Japan  

  81. 人工知能による医療支援・画像認識理解の立場から Invited

    森 健策

    第1回日本メディカルAI学会学術集会 

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    Event date: 2019.1

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:国立がん研究センター研究所   Country:Japan  

  82. 人工知能による医療支援-画像認識理解の立場から- Invited

    森 健策

    名古屋大学 未来社会創造機構 ナノライフシステム研究所設立記念シンポジウム 

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    Event date: 2018.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学   Country:Japan  

  83. Machine Learning for Intelligent Medical Devices Invited International conference

    Kensaku Mori

    The 29th 2018 International Symposium on Micro-Nano Mechatonics and Human Science 

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    Event date: 2018.12

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Nagoya University   Country:Japan  

  84. 人工知能による医用画像処理 Invited

    森 健策

    第68回日本泌尿器科学会中部総会 

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    Event date: 2018.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋国際会議場   Country:Japan  

  85. 人工知能による医用画像解析とその診断治療支援への応用

    森 健策

    第56回東部防衛衛生学会 

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    Event date: 2018.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  86. Computer assisted diagnosis and surgery based on machine lerning International conference

    Kensaku Mori

    APGCC2018 & CLASSIC2018 

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    Event date: 2018.8 - 2018.9

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel SHANGRI-LA Guangzhou   Country:China  

  87. Computer assisted diagnosis and surgery based on machine learning International conference

    Kensaku Mori

    APGCC2018 & CLASSIC 2018 

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    Event date: 2018.8 - 2018.9

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel SHANGRI-LA Guangzhou China   Country:China  

  88. AIによる画像処理技術の新展開 Invited

    森 健策

    JCRミッドサマーセミナー2018 

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    Event date: 2018.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:神戸ポートピアホール   Country:Japan  

  89. Attention U-Net: Learning Where to Look for the Pancreas International conference

    Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert

    Medical Imaging with Deep Learning MIDL2018 

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    Event date: 2018.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Hotel Casa Amsterdam   Country:Netherlands  

  90. Deep learning at the interface of CAD/CAS International conference

    Kensaku Mori

    CAD-AI / ISCAS Joint Session on Deep Learning in CAD/CAS, (Computer Assisted Radiology and Surgery (CARS) 2018) 

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    Event date: 2018.6

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel NH COllection Berlin   Country:Germany  

  91. Computer-assisted diagnosis and surgery based on machine learning International conference

    Kensaku Mori

    Annual academic conference of digital surgery committee of Chinese research hospital association & 2nd international conference on digital medicine 

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    Event date: 2018.5

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Guangzhou Baiyun International Convention Center   Country:China  

  92. 機械学習を用いた医用画像自動認識

    森 健策

    平成30年度東京大学医科学研究所大学院セミナー 

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    Event date: 2018.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  93. 画像診断におけるAIの現状と今後 -将来の画像診断はどう変わるか?-

    森 健策

    第20回放射線研究セミナー 

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    Event date: 2018.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋クレストンホテル   Country:Japan  

  94. AI(機械学習)を活用した医用画像処理に基づく診断治療支援

    森 健策

    第34回東海頭蓋底外科研究会 

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    Event date: 2018.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学医学部付属病院   Country:Japan  

  95. Medical procedure assistance based on machine learning-current status and future direction International conference

    Kensaku Mori

    UK-Japan symposium on medical imaging and artificial intelligence 

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    Event date: 2018.1

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:The academy of medical science   Country:United Kingdom  

  96. 人工知能を応用した医療系AIの実例

    森 健策

    日本病理学会 JP-AID 連絡会議 

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    Event date: 2017.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:東京大学   Country:Japan  

  97. 人工知能による医用画像自動認識

    森 健策

    第41回(平成29年度)ME講座-先端技術がひらく医療と福祉の未来 

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    Event date: 2017.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京電機大学   Country:Japan  

  98. 色ヒストグラム特徴を用いた腹腔鏡手術映像の体外・体内シーン分類

    山田 和希, 道満 恵介, 目加田 慶人, 三澤 一成, 森 健策

    平成 29 年度日本生体医工学会東海支部大会 

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    Event date: 2017.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:株式会社スズケン本社   Country:Japan  

  99. Artificial intelligence in medical image processing Invited International conference

    森 健策

    吉林省医学会第18回放射学学術会議 

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    Event date: 2017.9

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:吉林大白求恩第一医院   Country:China  

  100. 3Dプリンタの医用応用 Invited

    森 健策

    第6回JBMP放射線治療品質管理・医学物理講習会 

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    Event date: 2017.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:大阪大学コンベンションセンター   Country:Japan  

  101. 機械学習による医療支援 - マクロ解剖からミクロ解剖まで - Invited

    森 健策

    データサイエンスが拓く医療の未来 AI beyond 

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    Event date: 2017.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学医学部   Country:Japan  

  102. 機械学習・人工知能による医用画像自動診断 Invited

    森 健策

    愛知県職員薬剤師会学術講演会 

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    Event date: 2017.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  103. Scale-seameless registration and visualization - from clinical level to laboratory level International conference

    Kensaku Mori

    Computer Assisted Radiology and Surgery (CARS) 2017 

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    Event date: 2017.6

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel NH Collection Barcelona Constanza, Barcelona, Spain   Country:Spain  

  104. 人工知能と医療機器 - 画像認識技術の立場から - Invited

    森 健策

    中部医療機器工業協会 平成28年度通常総会 

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    Event date: 2017.5

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:アイリス愛知   Country:Japan  

  105. 多元計算解剖学が拓く新たな医用画像処理技術 Invited

    森 健策

    第73回日本放射線技術学会総会学術大会 

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    Event date: 2017.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:パシフィコ横浜   Country:Japan  

  106. 肺構造スケールシームレスナビゲーションー多画像統合に基づく肺構造のスケールシームレス解析 Invited

    森 健策

    第9回呼吸機能イメージング研究会学術集会 

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    Event date: 2017.1

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue: 京都大学   Country:Japan  

  107. 機械学習に基づく医用画像認識理解とその臨床応用 Invited International conference

    森 健策

    第16回横浜北部臨床消化器研究会 

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    Event date: 2016.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  108. 人体内部のナビゲーションに基づく診断治療支援 Invited

    森 健策

    医用画像と物理シミュレーションの融合による電磁界の医療応用と安全性評価技術の最新動向 

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    Event date: 2016.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋工業大学   Country:Japan  

  109. 名古屋大学出前授業in豊橋2016「医療分野における3Dプリンタ」 Invited

    森 健策

    あいちサイエンスフェスティバル 2016 

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    Event date: 2016.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  110. Multi-disciplinary Computational Anatomy - How to integrate macro anatomy and micro anatomy for medical assistance? Invited International conference

    Kensaku Mori

    2016 WORLD LIFE SCIENCE CONFERENCE 

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    Event date: 2016.11

    Language:English   Presentation type:Oral presentation (general)  

    Country:Japan  

  111. 医療分野における3Dプリンタの応用の現状 Invited

    森 健策

    医用画像情報学会(MII)平成28年度秋季(第176回)大会 

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    Event date: 2016.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  112. 医用画像のこれから - この先何を目指すのか?

    森 健策

    電子情報通信学会 医用画像研究会(MI) 

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    Event date: 2016.7

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  113. 多元計算解剖モデルに基づいた多元シームレスナビゲーションとその臨床応用 Invited

    森 健策

    3次元画像コンファレンス2016 

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    Event date: 2016.7

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  114. コンピュータによる画像診断と外科手術支援

    森 健策

    第104回日本泌尿器科学会総会 

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    Event date: 2016.4

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  115. 画像処理技術が拓く新たな外科支援 Invited

    森 健策

    第10回日本CAOS研究会(コンピューター支援技術 無限の可能性を求めて) 

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    Event date: 2016.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  116. Macro to Micro Anatomy Captured by X-ray CT Scans: Image Processing, Visualization and Clinical Applications International conference

    Kensaku Mori

    10TH ASIAN MEETING ON SYNCHROTRON RADIATION BIOMEDIAL IMAGING (AMSI2015) 

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    Event date: 2016.2

    Language:English   Presentation type:Oral presentation (general)  

    Country:Japan  

  117. 画像メディア処理技術に基づく医療分野における診断・治療支援の最前線 Invited

    森 健策

    第51回 知の拠点セミナー(国立大学共同利用・共同研究拠点協議会) 

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    Event date: 2015.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  118. 3Dプリンタにより造形した人体臓器モデルの利用 Invited

    森 健策

    平成27年度技術部特別講演会および技術部研修報告会 

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    Event date: 2015.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  119. 3Dプリンターにより造形した人体臓器モデルの利用 Invited

    森 健策

    第49回光学五学会関西支部連合講演会 

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    Event date: 2015.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  120. 高精度X線撮影の理論と実用性:高精度X線画像と画像処理が拓くマイクロ解剖構造解析 Invited

    森 健策

    第54回 日本臨床細胞学会秋期大会 

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    Event date: 2015.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  121. ディジタルメディアコンテンツ処理と外科手術支援

    森 健策

    第20回 日本脳腫瘍の外科学会 

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    Event date: 2015.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  122. Dプリンティングと医用画像処理 -何に使うか?

    森 健策

    2015年度 情報処理学会東海支部講演会 

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    Event date: 2015.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  123. 計算解剖学と診断治療支援 -解剖構造の認識理解から3Dプリントまで-

    森 健策

    Dバーチャル手術シミュレーションプロジェクト第10回講演会 

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    Event date: 2015.8

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  124. 医用画像と3Dプリンタを用いたる臓器実体モデル造形とその課題~情報工学から見た精密加工への期待~

    森 健策

    第 29 回精密加工プロセス研究会講演会 

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    Event date: 2015.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  125. 医用画像処理と3Dプリンタによる臓器実体モデル -仮想空間と現実空間との間のあらたなコラボレーション-

    森 健策

    2015年度(H27年度)第2回フォトニックデバイス・応用技術研究会 

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    Event date: 2015.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  126. 近未来医用画像にむけての一考察 仮想化解剖から実体化解剖まで

    森 健策

    第27回日本頭蓋底外科学会 

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    Event date: 2015.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  127. 計算解剖モデルを利用した医用画像認識理解とその診断治療支援への応用

    森 健策

    平成27年度第1回先進医療機器技術研究会・講演会 

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    Event date: 2015.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  128. 計算解剖モデルに基づく診断治療支援 - Virtualから Realまで

    森 健策

    第28回関西SOMATOM研究会並びに第2回全国SOMATOM研究会 

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    Event date: 2015.6

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  129. 誰にでもわかる「特別講演」:医用画像処理の現在と未来-診断治療を支える画像処理技術-

    森 健策

    画像センシング展2015 

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    Event date: 2015.6

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  130. 3Dプリンターの臨床応用 -技法から診断治療支援応用まで-

    森 健策

    第90回日本医療機器学会大会 

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    Event date: 2015.5

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  131. 計算解剖学とその診断支援への展開 画像認識理解から3Dプリンタによる臓器モデル造形まで

    森 健策

    重粒子医科学センター・放医研研究会共催講演会 

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    Event date: 2015.5

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  132. 先端・先進・予防医療の現状を探る~前立腺がん、心筋梗塞、中高年の成人病を防げ~

    森 健策

    ビジネストレンド研究部会 

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    Event date: 2015.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  133. 3Dプリンタを利用した新たな治療診断支援 マクロ構造からミクロ構造まで

    森 健策

    光部品生産技術部会 

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    Event date: 2015.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  134. 特別講演(2):計算解剖モデルと画像認識理解技術が拓く新たな外科手術支援

    森 健策

    第115回日本外科学会定期学術集会 

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    Event date: 2015.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  135. 計算解剖モデルに基づく手術支援画像生成

    森 健策

    第29回日本医学会総会 2015 関西 

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    Event date: 2015.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  136. 医用画像処理と3Dプリンタによる臓器モデル生成と診断治療支援への応用

    森 健策

    電子情報通信学会 2015年総合大会プログラム 

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    Event date: 2015.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  137. 画像処理技術がもたらす最先端診断治療技術の実現-コンピュータによる人体構造の高度な認識理解

    森 健策

    第3回 国際先端生物学・医学・工学会議(ICIBME 2015)及び、第1回 国際教育・文化芸術会議(ICIECA 2015) 

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    Event date: 2015.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  138. 3D画像処理と3Dプリントによる診断治療支援

    森 健策

    第7回 3DPACS研究会 in 名古屋 

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    Event date: 2014.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学大幸キャンパス   Country:Japan  

  139. 計算解剖モデルに基づく消化器がんの診断治療支援

    森 健策

    第15回名古屋消化器疾患研究会 

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    Event date: 2014.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  140. 画像処理と3Dプリンタによる医療診断治療支援

    森 健策

    新技術説明会 中部地区 医療・バイオ系シーズ発表会 

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    Event date: 2014.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  141. ~ケーススタディを通じた成功へのヒント~「国際会議誘致・開催の工夫と地域との連携」 第 16 回コンピュータ医用画像処理ならびにコンピュータ支援治療に関する国際会議

    森 健策

    平成26年度 日本政府観光局(JNTO)国際会議主催者セミナー 

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    Event date: 2014.12

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Country:Japan  

  142. 多元計算解剖に基づく診断治療支援

    森 健策

    アドバンスド・エレクトロニクス・シンポジウム2014 -健康、医療分野における電子・情報技術の展開- 

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    Event date: 2014.11

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  143. 画像処理による医用画像の認識理解と診断治療支援への応用

    森 健策

    日本光学会年次学術講演会 Optics & Photonics Japan 2014 

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    Event date: 2014.11

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  144. 計算解剖学モデルに基づいた3Dプリンタによる臓器モデル造形とその診断・治療支援への応用

    森 健策

    将来加工技術第136委員会 

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    Event date: 2014.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  145. 産学連携・医工連携 :3Dプリンタによる臓器作成のための画像処理

    森 健策

    第27回日本内視鏡外科学会総会 

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    Event date: 2014.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  146. 特別講演:画像認識理解とコンピュータビジョンに基づく胸部画像診断支援

    森 健策

    郡山臨床呼吸器カンファランス 

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    Event date: 2014.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  147. 特別講演 計算解剖モデルと可視化・可視化に基づく消化器領域における診断治療支援

    森 健策

    第6回 桜山消化器がん懇話会 

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    Event date: 2014.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  148. 画像処理による医用画像の認識理解と診断治療支援への応用 -3次元画像処理の基礎から応用まで-

    森 健策

    東海支部第24回基礎セミナー「バイオメディカルエンジニアリング」 

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    Event date: 2014.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  149. Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Electromagnetic Tracking

    Xiongbiao Luo, Ying Wan, Xiangjian He, Jie Yang, Kensaku Mori

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    Event date: 2014.7

    Language:English   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  150. 3Dプリンタによる患者個別臓器モデルと診断治療への応用-画像処理から利用法まで

    森 健策

    電子情報技術部会 マイクロナノシステムと材料・加工分科会 

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    Event date: 2014.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  151. 医用画像認識理解と可視化・可物化に基づく手術ナビゲーション

    森 健策

    2014年度 クリニカルサミット, メディカルイメージングの最先端~ナビゲーションとロボティクス~ 

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    Event date: 2014.7

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  152. Abdominal organ recognition from CT images and clinical applications: abdominal CAD, CAS and 3D printing International conference

    Kensaku Mori

    CARS 2014 Computer Assisted Radiology and Surgery 28th International Congress and Exhibition:Special Session on Abdominal CAD 

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    Event date: 2014.6

    Language:English   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  153. Recent Advancement and Fundamental Technologies in Medical Image Computing and Visualization International conference

    Kensaku Mori

    10th Asian Conference on Computer Aided Surgery(ACCAS 2014) In conjunction with CARS 2014 

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    Event date: 2014.6

    Language:English   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  154. パネルディスカッション10 デジタルネイティブに対するバーチャルリアリティ応用の実践 計算解剖モデルに基づく診断治療支援

    森 健策

    第102回日本泌尿器科学会総会 

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    Event date: 2014.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  155. 計算解剖と3Dプリンタ-医療分野における3Dプリンタの活用法

    森 健策

    平成26年度第1回研究会「3Dプリンタ技術」 

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    Event date: 2014.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  156. 医用画像からの解剖学的構造抽出と3Dプリンタによる可視化

    森 健策

    第28回ポリマー光回路(POC)研究会 

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    Event date: 2014.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

  157. 大腸ポリープ画像診断ソフトウェアEndobrain 開発に至る基礎研究の経過- 画像処理研究の立場から Invited

    森 健策

    第3 回 ビッグデータ・AI 研究会 (online)  2021.1.24 

  158. スーパーコンピュータを活用した新たなイノベーションの創出 Invited

    森 健策

    士通エグゼクティブフォーラムin 中部 (online)  2021.2.3 

  159. 名古屋大学教育学部附属学校におけるLMS導入取組~名大情報基盤センターとの連携 Invited

    森 健策

    4月からの大学等遠隔授業に関する取組状況共有サイバーシンポジウム 

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    Venue:国立情報学研究所 オンライン  

  160. AI based endoscopic procedure Invited

    Kensaku Mori

    Artificial Intelligence in Surgery - a virtual mini-symposium 

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    Venue:Wellcome/EPSRC Centre for Interventional & Surgical Sciences (WEISS), (online)  

  161. Prospects of Using AI in Coloproctology Invited

    APPC 2020 

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    Venue:Avison Biomedical Research Center (online)  

  162. How Spatial Information Embedding Improves Multi-Organ Segmentation From Abdominal CT Images Based on Fully Convolutional Networks International conference

    Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

    RSNA2020 

  163. H. Itoh, Y. Mori, M. Misawa, S. –E. Kudo, K. Hotta, K. Ohtsuka, S. Saito, Y. Saito, H. Ikematsu, Y. Hayashi, M. Oda, K. Mori International conference

    Development of a robust endocytoscopic-image classification method towards the construction of practical CAD system in endocytoscopy - from the viewpoint of generalisation ability for non-specific hospital diagnosis

    22nd International Conference on Computer-Aided Diagnosis and Artificial Intelligence, (CAD-AI) June 23–27 

  164. COVID-19とLMS - 大学教育の大幅な変化を経験して Invited

    森 健策

    情報処理学会第83回全国大会  2021.9.19 

  165. Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation

    Zhou Zheng, Masahiro Oda, Kensaku Mori

    IEEE/CVF International Conference on Computer Vision (ICCV) Workshops  2021.10.17 

  166. Self-supervised Cascaded Multi-task Learning on Laparoscopic Videos for Depth Estimation in Robotic-assisted Surgery International conference

    Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

    IROS2021 Workshop, Dexterous manipulation in the real-contact context: new progress and challenges  2021.9.27 

  167. Carotid Artery Vessel Wall Segmentation Challenge Report International conference

    Ruiyun Zhu, Masahiro Oda, Yuichiro Hayashi, Hideki Ota,Hitomi Anzai, Makoto Ohta, Takanobu Yagi, Masaaki Shojima, Soichiro Fujimura, Kensaku Mori

    Carotid Artery Vessel Wall Segmentation Challenge, SMRA 2021 and MICCAI 2021  2021.10.1 

  168. AI技術の進展と医療画像解析への応用 Invited

    森 健策

    第165回和歌山眼科学会  2022.12.18 

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    Venue:オンライン  

  169. 機械学習による医用画像処理の変革 Invited

    NVIDIA 冬のHPC Weeks  2022.12.18 

  170. AI for VR Invited

    森 健策

    第21回日本VR医学会学術大会  2022.8.27 

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    Venue:名古屋大学メディカルxRセンター  

  171. AI診断における診療業務の効率化

    森 健策

    CPA EXPO  2022.5.13 

  172. AI-based endoscopic procedure – Current and Future

    Kensaku Mori

    CVF/CVPR Medical Computer Vision Workshop  2022.6.19 

  173. AI for VR Invited

    森 健策

    第21回日本VR医学会学術大会  2022.8.27 

  174. Artificial intelligence in endoscopic procedures

    Kensaku Mori

    International Conference on Medical Imaging and Augmented Reality (MIAR), MICCAI 2019  2019.10.13 

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    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Intercontinental Hotel Shenzhen  

  175. Quality Improvement for Low-magnification Optical Microscopic Image in Mouse Cerebral Cortex Imaging

    Yunheng Wu, Yuichiro Hayashi, Masahiro Oda, Shuntaro kawamura,Takanori Takebe, Kensaku Mori

    IFMIA2023 

  176. Attention Guided Self-supervised Monocular Depth Estimation Based on Joint Depth-pose Loss for Laparoscopic Images

    W. Li, Y. Hayashi, M. Oda, T. Kitasaka, K. Misawa, K. Mori,

    Computer Assisted Radiology and Surgery (CARS) 2022  2022.6.8 

  177. TriMix: A General Framework for Medical Image Segmentation from Limited Supervision

    Zhou Zheng, Yuichiro Hayashi, Takayuki Kitasaka, Masahiro Oda, Kensaku Mori

    ACCV2022, 

  178. Edge-aware deep learning framework for automatic stomatal segmentation and phenotype measurement for microscopic image

    Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kanane Sato, Yasuhiro Ishimaru, Nobuyuki Uozumi, Kensaku Mori

    CVPR2022  2022.9.18 

  179. Gaussian Affinity and GIoU-based Loss for Perforation Detection and Localization from Colonoscopy Videos

    K. Jiang, H. Itoh, M. Oda, T. Okumura, Y. Mori, M. Misawa, T. Hayashi, S.-E. Kudo, K. Mori

    Computer Assisted Radiology and Surgery (CARS) 2022  2022.6.9 

  180. Positive-Gradient Weighted Object Activation Mapping: Analysis of Object Detector Towards Precise Colorectal-Polyp Localisation

    H. Itoh, M. Misawa, Y. Mori, S.-E. Kudo, M. Oda, K. Mori

    Computer Assisted Radiology and Surgery (CARS) 2022 

  181. MICCAI 2022参加報告

    伊東 隼人, 小田 昌宏, 申 忱, 王 成, 三浦 幹太, 佐藤 淳哉, 大竹 義人, 備瀬 竜馬, 古川 亮, 本谷 秀堅, 増谷 佳孝, 森 健策

    電子情報通信学会技術研究報告(MI)  2023.3.6 

  182. 3Dプリンタにより造形した人体臓器モデルの利用 Invited International conference

    森 健策

    平成27年度技術部特別講演会および技術部研修報告会  2015.12.10 

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    Language:Japanese   Presentation type:Oral presentation (general)  

  183. 3Dプリンタの医用応用 Invited International conference

    森 健策

    第6回JBMP放射線治療品質管理・医学物理講習会  2017.9.17 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:大阪大学コンベンションセンター  

  184. 3Dプリンタを利用した新たな治療診断支援 マクロ構造からミクロ構造まで International conference

    森 健策

    光部品生産技術部会  2015.4.20 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  185. 3Dプリンターにより造形した人体臓器モデルの利用 Invited International conference

    森 健策

    第49回光学五学会関西支部連合講演会  2015.12.5 

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    Language:Japanese   Presentation type:Oral presentation (general)  

  186. 3Dプリンターの臨床応用 -技法から診断治療支援応用まで- International conference

    森 健策

    第90回日本医療機器学会大会  2015.5.28 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  187. AI(機械学習)を活用した医用画像処理に基づく診断治療支援 International conference

    森 健策

    第34回東海頭蓋底外科研究会  2018.3.24 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:名古屋大学医学部付属病院  

  188. AIによる画像処理技術の新展開 Invited International conference

    森 健策

    JCRミッドサマーセミナー2018  2018.7.21 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:神戸ポートピアホール  

  189. AI診断の現状と限界 Invited International conference

    森 健策

    第42回日本脳神経CI学会総会  2019.3.1 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:六本木アカデミーヒルズ  

  190. Deep learning at the interface of CAD/CAS

    Kensaku Mori

    CAD-AI / ISCAS Joint Session on Deep Learning in CAD/CAS, (Computer Assisted Radiology and Surgery (CARS) 2018)  2018.6.20 

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    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel NH COllection Berlin  

  191. Scale-seameless registration and visualization - from clinical level to laboratory level

    Kensaku Mori

    Computer Assisted Radiology and Surgery (CARS) 2017  2017.6.23 

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    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Hotel NH Collection Barcelona Constanza, Barcelona, Spain  

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Works 1

  1. MICCAI 2013

    2013.9

Research Project for Joint Research, Competitive Funding, etc. 5

  1. 消化器がん治療における医用画像処理技術を用いた統合的個別化手術支援システム開発と臨床応用

    2015.4 - 2016.3

    H27年度 日本医療研究開発機構研究費 革新的がん医療実用化研究事業 

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    Grant type:Competitive

  2. 消化器がん治療における医用画像処理技術を用いた統合的個別化手術支援システム開発と臨床応用

    2014.4 - 2015.3

    平成 26 年度厚生労働科学研究委託費(革新的がん医療実用化研究事業) 

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    Grant type:Competitive

  3. 分析・診断医工学による予防早期医療の創成

    2006.7

    学内共同研究 

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    科学技術振興調整費(先端融合領域イノベーション創出拠点の形成)

  4. IT技術を取り入れた教育・訓練システムと医療安全教育研修制度に関する調査研究

    2006.4 - 2008.3

    国内共同研究 

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    厚生労働省科学研究費補助金医療安全・医療技術評価総合研究事業

  5. 腹腔鏡手術総合シュミレーション・ナビゲーションシステムの開発

    2006.1 - 2007.3

    財団法人 栢森情報科学振興財団特別研究助成金 

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    Grant type:Competitive

    財団法人 栢森情報科学振興財団特別研究助成金

KAKENHI (Grants-in-Aid for Scientific Research) 15

  1. Development of surgical navigation system for esophageal atresia / tracheoesophageal fistula using AI Image analysis and forceps location information

    Grant number:22H03703  2022.4 - 2025.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Coinvestigator(s) 

  2. Development of anti-Parkinson's disease drugs enhancing neuronal autophagy

    Grant number:22H02986  2022.4 - 2025.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Coinvestigator(s) 

  3. Realization of exhaustive mathematical analysis of micro-anatomical structure for micro computational anatomy

    Grant number:21K19898  2021.7 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Research (Exploratory)

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    Authorship:Principal investigator 

    Grant amount:\6370000 ( Direct Cost: \4900000 、 Indirect Cost:\1470000 )

  4. AIを活用した気管支腔内超音波断層法(EBUS)画像解析

    Grant number:21K11960  2021.4 - 2024.3

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    岡地 祥太郎, 森 健策, 中村 彰太

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    Authorship:Coinvestigator(s) 

    本研究の目的は、人工知能(AI)を用いて気管支鏡超音波画像を解析し、診断結果、合併症発生などを予測するソフトウェアを開発し医師の判断を支援することである。本研究では動画の気管支鏡超音波画像や診断結果などの情報を収集し、データセットを作成する。データ前処理を行い、AIモデルの構築、精度の検証を行う。最終的に気管支鏡検査時にリアルタイムに診断や合併症発生の予測を表示し、医師の判断を支援するソフトウェアを開発する。多施設前向き臨床試験でその 精度を検証し成果を学会、論文等で広く発表する。
    本研究の目的は、AIを用いて気管支鏡超音波画像を解析し、診断結果、合併症発生などを予測するソフトウェアを開発し医師の判断を支援することである。昨年度は、気管支鏡超音波画像の収集、画像解析、機械学習によるモデル構築を行い、今後の精度検証や生検合併症の発生予測についても検証を行うことが報告された。
    本年度は、引き続き画像を収集し、画像処理を修正しながらより良いモデル構築を目指している。この研究成果によって、術者は本ソフトウェアの支援を受けて検査や検査後の対応を行うことができ、検査の質や安全性の向上につながる意義があると考えている。得られた結果をもとに医療機器としての実用化につなげ、広く使用していただくことを目標としている。
    また、作成したモデルをより活用するために、術者がスマートグラスやMR(mixed reality;複合現実)デバイスを装着して検査を行うことを検討している。今年度は、MR技術を活用した気管支鏡シミュレーションを行い、臨床現場での活用が期待される。このシミュレーションを通じて、術者はより診断支援結果を理解しやすくなり、術者負担の軽減や検査の質を向上させることができると考えられる。
    本年度の研究では、MRを活用した気管支鏡シミュレーションの開発を進め、学会発表や論文化を行った。これにより、国内外の研究者や医療従事者との連携が図られ、研究成果の共有やフィードバックが得られることが期待される。今後は、引き続き画像処理技術の向上やMRデバイスの活用方法の検討を行い、検査の質や安全性の向上を目指す。
    研究計画遅延の主な理由は、モデル構築のための画像収集や画像処理に時間を要していることである。気管支鏡超音波画像は、患者の状態や撮影条件によってばらつきがあり、高品質なデータセットの構築が困難である。また、画像処理においても、ノイズ除去や領域抽出などの技術を改良しながら、適切な学習データを収集、生成するために時間を要している。
    画像収集の効率化としては、プロセスの見直しを行い、患者や撮影条件の違いを考慮した効率的な収集方法を検討する。これにより、より多くの高品質な画像データを迅速に収集することができる。時間管理とスケジュールの最適化として、研究計画遅延を最小限に抑えるため、綿密な時間管理とスケジュールの最適化を行う。タスクの優先順位を明確にし、リソースを効果的に配分することで、研究の進捗を確実にする。また、定期的な進捗報告やミーティングを実施し、研究チーム全体で問題点を共有し、解決策を検討することで、円滑な研究進行が可能となる。また、研究成果を段階的に実現し、短期的な目標に焦点を当てることで、研究のモチベーションを維持し、遅れの解消につなげる。具体的には、画像処理技術やモデル構築の途中経過を評価し、その成果を学会発表や論文化することで、研究の進捗を促す。以上の対策を実行することで、研究計画の遅れを解消し、本研究の目標であるAIを用いた気管支鏡超音波画像解析による診断結果や合併症発生の予測ソフトウェア開発を達成することができると期待される。今後は、遅延の解消に向けた努力を続けながら、研究成果を医療機器として実用化し、広く医療現場で活用されることを目指していく。

  5. Development of an ultra-high-speed brain scanner for comprehensive imaging of the entire human brain

    Grant number:19K22696  2019.6 - 2023.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Research (Exploratory)

    HATTA Toshihisa

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    Authorship:Coinvestigator(s)  Grant type:Competitive

    Grant amount:\130000 ( Direct Cost: \100000 、 Indirect Cost:\30000 )

    We have developed hardware and optimized sample processing technology to record the microstructure of the entire human cerebrum at the synapse level resolution. Specifically, we modified the Cell Voyager7000 (CV7000, Yokogawa), a high-throughput cell function imaging system currently in use at Kanazawa Medical University, to operate as an ultra high-speed, wide-field, high-resolution 3D scanner. We constructed a confocal tissue scanner capable of performing deep scanning and 3D reconstruction of the entire coronal section of one side of the human cerebrum. We have also established a protocol for complete clearing of formalin-fixed adult human cerebrum. The application of this to immunostaining and other applications is a subject for future work.

  6. 多元計算解剖モデルを利用した術前術中診断・治療支援システム

    2014.4 - 2019.3

    科学研究費補助金  新学術領域研究(研究領域提案型) 26108006

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    Authorship:Principal investigator 

  7. メタ解剖情報医用画像処理-Post BigData時代における新しい医用画像処理

    2014.4 - 2017.3

    科学研究費補助金  挑戦的萌芽研究 26560255

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    Authorship:Principal investigator 

  8. 多種画像統合による内視鏡診断治療支援のためのモダリティシームレスナビゲーション

    2013.4 - 2017.3

    科学研究費補助金  基盤研究(A)

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    Authorship:Principal investigator 

  9. 計算解剖モデルに基づく診断・治療の融合的支援

    2009.9 - 2014.3

    科学研究費補助金  新学術領域研究 21103006

    森 健策

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    Authorship:Principal investigator 

  10. 大規模仮想化人体データベースの構築とその認識理解に基づく診断治療の融合的支援  

    2008

    科学研究費補助金  基盤研究(B),課題番号:20300066

    森 健策

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    Authorship:Principal investigator 

  11. 画像認識とセンサ情報統合に基づく知的手術支援システムの開発

    2007

    科学研究費補助金  特別研究員奨励費,課題番号:70008704

    森 健策

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    Authorship:Principal investigator 

  12. 高精度・高次元医用画像時代における次世代「人体アトラス」の構築

    2004.10 - 2006.3

    科学研究費補助金  文部科学省科学研究費補助金萌芽研究

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    文部科学省科学研究費補助金萌芽研究

  13. 3次元濃淡画像のリアルタイム変形手法の開発とその医用画像処理への応用

    2004.4 - 2007.3

    科学研究費補助金  文部科学省科学研究費補助金基盤研究(B)(2),

    末永康仁

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    Authorship:Coinvestigator(s) 

    文部科学省科学研究費補助金基盤研究(B)(2),

  14. 知的CADとしてのナビゲーション診断システムの開発

    2003 - 2007.3

    科学研究費補助金  文部科学省科学研究費補助金特定領域研究(2)

    末永康仁

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    Authorship:Coinvestigator(s) 

    文部科学省科学研究費補助金特定領域研究(2)

  15. 知識ベース処理に基づく3次元医用画像診断支援システムの開発

    2000.4 - 2001.8

    科学研究費補助金  文部科学省科学研究費補助金奨励研究(A)

    森 健策

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    Authorship:Principal investigator 

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Industrial property rights 16

  1. 画像処理装置及び画像処理方法

    脇坂 隆史, 華原 革夫, 森 悠一, 工藤 進英, 三澤 将史, 二村 幸孝, 森 健策

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    Application no:特願2015-200803  Date applied:2015.10

    Announcement no:特開2017-070609 

    Country of applicant:Domestic  

  2. 全球型視野をもつ仮想内視鏡装置

    森 健策

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    Application no:特願2015-076342  Date applied:2015.4

    Announcement no:特開2015-126927 

    Country of applicant:Domestic  

  3. 医用観察支援システム及び臓器の3次元模型

    森 健策, 中村 嘉彦, 伊神 剛, 細野 祐介

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    Application no:特願2015-047922  Date applied:2015.3

    Announcement no:特開2016-168078 

    Country of applicant:Domestic  

  4. 表面検査装置及び表面検査方法

    東谷 力雄, 篠田 貴宏, 山内 健次, 森 健策

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    Application no:特願2015-005227  Date applied:2015.1

    Announcement no:特開2016-130695 

    Country of applicant:Domestic  

  5. 蛍光体、蛍光クリップ及び検出対象部位の検出システム

    三澤 一成, 中西 速夫, 渕 真悟, 長谷川 純一, 稲田 シュンコ アルバーノ, 森 健策

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    Application no:特願2014-249406   Date applied:2014.12

    Announcement no:特開2016-108501 

    Country of applicant:Domestic  

  6. 内視鏡観察支援装置

    森 健策, 羅 雄彪

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    Application no:特願2013-252454  Date applied:2013.12

    Announcement no:特開2015-107268 

    Country of applicant:Domestic  

  7. 全球型視野をもつ仮想内視鏡装置

    森 健策

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    Application no:特願2013-246797  Date applied:2013.11

    Announcement no:特開2014-036904 

    Country of applicant:Domestic  

  8. 医用観察支援装置及び医用観察支援プログラム

    森 健策

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    Application no:特願2013-180682  Date applied:2013.8

    Announcement no:特開2015-047309 

    Country of applicant:Domestic  

  9. 内視鏡観察支援装置

    森 健策, 小田 昌宏

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    Application no:特願2013-112396   Date applied:2013.5

    Announcement no:特開2014-230612 

    Country of applicant:Domestic  

  10. 検出対象部位の検出システム

    三澤 一成, 中西 速夫, 長谷川 純一, 木村 翔太, 渕 真悟, 森 健策

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    Application no:特願2012-028667  Date applied:2012.2

    Announcement no:特開2013-162978 

    Country of applicant:Domestic  

  11. 内視鏡挿入支援装置

    森 健策

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    Application no:特願2011-027761  Date applied:2011.2

    Announcement no:特開2012-165838 

    Country of applicant:Domestic  

  12. 全球型視野をもつ仮想内視鏡装置

    森 健策

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    Application no:特願2010-083569  Date applied:2010.3

    Announcement no:特開2011-212242 

    Country of applicant:Domestic  

  13. 医用画像観察支援装置

    森 健策, 小田 昌宏

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    Application no:特願2009-180787  Date applied:2009.8

    Announcement no:特開2011-030839 

    Country of applicant:Domestic  

  14. System that assists in observing a luminal organ using the structure of the luminal organ

    Kensaku Mori Takayuki Kitasaka Daisuke Deguchi

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    Application no:US Patent Application 12/226,922   Date applied:2008.10

    Announcement no:US 2009-0161927 

    Patent/Registration no:US Patent 8,199,984  Date registered:2012.6 

    Country of applicant:Foreign country  

  15. 内視鏡挿入支援システム及び内視鏡挿入支援方法

    森 健策, 北坂 孝幸, 秋本 俊也, 江部 康平, 和田 武士

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    Application no:JP2007059208   Date applied:2007.4

    Announcement no:WO2007-129616 

    Country of applicant:Domestic  

  16. 医療画像観察支援装置

    森 健策, 北坂 孝幸, 出口 大輔

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    Application no:JP2007052894  Date applied:2007.2

    Announcement no:WO2007-129493 

    Country of applicant:Domestic  

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Teaching Experience (On-campus) 4

  1. プログラミング及び演習

    2014

  2. プログラミング及び演習

    2013

  3. プログラミング及び演習

    2012

  4. Programming and Excerice

    2011

Teaching Experience (Off-campus) 6

  1. 医用情報システム論

    2008.4 - 2009.3 徳島大学)

  2. 医用情報システム論

    2007.4 - 2008.3 徳島大学)

  3. 医用情報システム論

    2006.4 - 2007.3 徳島大学)

  4. 医用情報システム論

    2005.4 - 2006.3 徳島大学)

  5. 先端医療工学「画像誘導医学・医用画像処理]

    2005.4 - 2006.3 九州大学)

  6. 医用情報システム論

    2004.4 - 2005.3 徳島大学)

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Social Contribution 6

  1. ひらめきときめきサイエンス

    2015.8

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    日本学術振興会ひらめきときめきサイエンスプログラムにおいて「3Dプリンターを使って臓器モデルを作ろう!」を開催

  2. 名古屋市科学館企画調査委員

    Role(s):Advisor

    名古屋市科学館  2020.8 - 2020.3

  3. 人工知能などの先端技術を利用した医療機器プログラムの薬事規制のあり方に関する専門的助言及び調査研究

    Role(s):Advisor

    AMED 医薬品等規制調和・評価研究事業検討委員  2020.5 - 2021.3

  4. ICT推進協議会 理事

    2020.5 - 2022.5

  5. 学術情報ネットワーク運営・連携本部委員

    Role(s):Planner

    大学共同利用機関法人 情報・システム研究機構 国立情報学研究所  2020.4 - 2021.3

  6. 日本医用画像工学会 副会長

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Media Coverage 15

  1. スパコン不老ってどんなもの? Newspaper, magazine

    建通新聞  新年特集号  新年特集号  2021.1

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    Author:Other 

  2. 大腸検査で腫瘍判定支援 Newspaper, magazine

    読売新聞  読売新聞  朝刊26ページ  2020.12

  3. 新型コロナ感染判定するAI開発 TV or radio program

    NHK名古屋  おはよう東海  2020.10

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    Author:Other 

  4. コロナ肺炎の判定CT画像からAIで

    日本経済新聞  日本経済新聞  朝刊9ページ  2020.10

  5. CT画像で感染判定 名大がAI開発、精度80%

    中日新聞  中日新聞  朝刊26ページ  2020.9

  6. データ100年安心?スパコン

    朝日新聞  朝日新聞  朝刊27ページ  2020.7

  7. ス-パーコンピューター「不老」について

    中京テレビ  ニュース  2020.7

  8. ス-パーコンピューター「不老」について

    CBC  ニュース  2020.7

  9. ス-パーコンピューター「不老」について

    NHK名古屋  ニュース  2020.7

  10. ス-パーコンピューター「不老」について

    東海テレビ  ニュース  2020.7

  11. ス-パーコンピューター「不老」について

    東海テレビ  ニュース  2020.7

  12. ス-パーコンピューター「不老」について

    メ~テレ  ニュース  2020.7

  13. ひらめきときめきサイエンス

    2016.8

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    日本学術振興会ひらめきときめきサイエンスプログラムにおいて「3Dプリンターを使って臓器モデルを作ろう!」を開催

  14. ひらめき ときめき サイエンス

    2018.8

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    日本学術振興会ひらめきときめきサイエンスプログラムにおいて「機械学習と3Dプリンタで臓器モデルを作ろう!-医用画像処理の体験」を開催

  15. ひらめき ときめき サイエンス

    2017.8

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    日本学術振興会ひらめきときめきサイエンスプログラムにおいて「中学・高校生向け講座 3DプリンタとVRを使って臓器モデルを作ろう!ー医用画像処理の体験」を開催

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Academic Activities 8

  1. ISCAS President

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    Type:Competition, symposium, etc. 

  2. 科研費審査委員

  3. JSCAS副理事

  4. JAMIT副会長

  5. JST創発アドバイザリ

  6. SPIE Medical Imaging Computer Aided Diagnosis prgram committe

  7. SPIE Medical Imaging Image-Guided Procedure prgram committe

  8. SPIE Medical Imaging Image Processing prgram committe

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