Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Web of Science

Scopus

PubMed

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

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

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Papers - MORI, Kensaku