Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

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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

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

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

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

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

Language：English Publishing type：Research paper (scientific journal) Publisher：Elsevier Ltd

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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Papers - MORI, Kensaku