Papers - MORI, Kensaku

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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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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Language：Japanese  

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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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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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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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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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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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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Language：English   Publishing type：Research paper (international conference proceedings)  

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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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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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：(社)日本大腸検査学会  

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

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

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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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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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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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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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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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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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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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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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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