[22-J008] Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol. 10, Issue 3, pp.266-273, (First online 21 December 2021) (2022/05) doi: 10.1080/21681163.2021.2012835
[22-J007] Hayato Itoh, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Masahiro Oda, Kensaku Mori, ``Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation,'' International Journal of Computer Assisted Radiology and Surgery, Vol. 17, issue 11, pp. 2051-2063, (First online 8 August 2022)(2022/10) doi: 10.1007/s11548-022-02696-y
[22-J006] Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori, ``SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss,'' Journal of Medical Imaging, Vol.9, No.2, pp.024003-1-28 (2022/04/05) doi: 10.1117/1.JMI.9.2.024003
[22-J005] Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol.10, No.3, pp.274-282, (First online 19 January 2022)(2022/05) doi: 10.1080/21681163.2021.2015723
[22-J004] Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori, ``A cascaded fully convolutional network framework for dilated pancreatic duct segmentation,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, No.2, pp.343-354, (First online 24 December 2021) (2022/02) doi:10.1007/s11548-021-02530-x
[22-J003] Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako K. Kumamaru, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, ``Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, No.1, pp.97-105, (First online 21 October 2021)(2022/01) doi:10.1007/s11548-021-02492-0
[22-J002] 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, ``Impact of the clinical use of artificial intelligence-assisted neoplasia detection for colonoscopy: a large-scale prospective, propensity score-matched study (with video),'' Gastrointestinal Endoscopy, Vol.95, No.1, pp.155-163, (First online 2August 2021) (2022/01) doi.10.1016/j.gie.2021.07.022
[22-J001] Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Ito, Kinichi Hotta, Kensaku Mori, ``Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol.10, No.3, pp.289-298, (First online 19 January 2022)(2022/05) doi: 10.1080/21681163.2021.2004445
[22-M005] ¾®ÅÄ ¾»¹¨, ``ÀâÌÀ²ÄǽAI¤ÈÉԳμÂÀ²òÀϤˤè¤ë¿®Íꤵ¤ì¤ëAI¤Î¼Â¸½,'' Precision Medicine 2022ǯ11·î¹æ, pp.26-29, (2022/10)
[22-M004] ¾®ÅÄ ¾»¹¨, ``°åÎÅAI³«È¯¤Ë¤ª¤±¤ëVision Transformer¤Î²ÄǽÀ,'' ¥¤¥ó¥Ê¡¼¥Ó¥¸¥ç¥ó, Vol.37, No.7, pp.28-31, (2022/07)
[22-M003] ¿¹ ·òºö, ``¥á¥¾¥¹¥³¥Ô¥Ã¥¯Îΰè¤Î²ò˶³ØÅª¹½Â¤²òÀϤòÌܻؤ¹¥ß¥¯¥í¤È¥Þ¥¯¥í¤ÎCT¤ÎÅý¹ç²òÀÏ,'' Medical Imaging Technology, Vol.40, No.1, pp.20-25, (2022/01) doi:org/10.11409/mit.40.20
[22-M002] ¿¹ ·òºö, ``30ǯ´Ö¤Î°åÍѲèÁü¸¦µæ·Ð¸³¤ò¿¶¤êÊÖ¤ê̤Íè¤ò¹Í¤¨¤ë,'' ¾ðÊ󡦥·¥¹¥Æ¥à¥½¥µ¥¤¥¨¥Æ¥£»ï, Vol.27, No.1, ÄÌ´¬106¹æ, (2022/05)
[22-M001] ¿¹ ·òºö, ``¿Í¹©ÃÎǽ(AI)ºÇ¿·Æ°¸þ ³Ø²ñȯɽ¤òÃæ¿´¤Ë(2)-Digital Posterȯɽ¤òÃæ¿´¤Ë, ''¥¤¥ó¥Ê¡¼¥Ó¥¸¥ç¥ó, Vol.37, No.2, pp.30-31, (2022/02)
[22-IL014] ¿¹ ·òºö,``±ó³Ö°åÎŤò»Ù¤¨¤ë²èÁü¡¦±ÇÁü¿ÇÃǻٱ絻½Ñ¤È¤·¤Æ¤Î¿Í¹©ÃÎǽ¤Èµ¡³£³Ø½¬,''Âè26²óÆüËܱó³Ö°åÎųزñ³Ø½ÑÂç²ñ, ºë¶Ì²ñ´Û, (²ñ´ü¡§2022/10/28-10/29)(2022/10/28)
[22-IL013] °ËÅì È»¿Í,``²èÁü¥Ñ¥¿¡¼¥óǧ¼±¤È¤½¤Î±þÍÑ ¡½°å¹©³Ø¤È¤¤¤¦¶³¦Ê¬Ìî¤ËÈô¤Ó¹þ¤ó¤Ç¡½,'' À¸Âΰ幩³Ø¥·¥ó¥Ý¥¸¥¦¥à2022, ¥ª¥ó¥é¥¤¥ó, (²ñ´ü: 2022/9/10-9/11)(2022/9/10)
[22-IL012] ¿¹ ·òºö,``Potential of Glaucoma AI from the viewpoint of date scientist¡Æ¡Ç¥Ç¡¼¥¿¥µ¥¤¥¨¥ó¥Æ¥£¥¹¥È¤«¤é¸«¤¿ÎÐÆâ¾ãAI¤Î²ÄǽÀ,'' Âè33²óÆüËÜÎÐÆâ¾ã³Ø²ñ, ¥Ñ¥·¥Õ¥£¥³²£ÉÍ, (²ñ´ü: 2022/9/16-9/18)(2022/9/16)
[22-IL011] ¿¹ ·òºö,``¥¤¥á¡¼¥¸¥ó¥°¤È¤½¤ÎÃÎŪ½èÍý¤Ë¤è¤ë¿ÇÃǼ£ÎŻٱç, Âè31²óÆüËܥХ¤¥ª¥¤¥á¡¼¥¸¥ó¥°³Ø²ñ³Ø½Ñ½¸²ñ, Âè31²ó³Ø½Ñ½¸²ñÍ׻ݽ¸, Vol.31, No.2, pp.42, (²ñ´ü:2022/9/3-9/5) (2022/9/3)
[22-IL010] ¿¹ ·òºö, ``AI for VR,'' Âè21²óÆüËÜVR°å³Ø²ñ³Ø½ÑÂç²ñ, ̾¸Å²°Âç³Ø¥á¥Ç¥£¥«¥ëxR¥»¥ó¥¿¡¼, (2022/08/27)
[22-IL009] Kensaku Mori, ``AI-based endoscopic procedure – Current and Future,'' CVF/CVPR Medical Computer Vision Workshop, Online, (2022/6/19)
[22-IL008] Kensaku Mori,``The Way of Medical Care in the AI Era - A New Era of Medical Care through Coexistence with AI,'' Âè63²óÆüËÜ¿À·Ð³Ø²ñ³Ø½ÑÂç²ñ, Åìµþ¹ñºÝ¥Õ¥©¡¼¥é¥à, (²ñ´ü¡§2022/05/18-2022/05/21¡Ë(2022/05/18¡Ë
[22-IL007] ¿¹ ·òºö, ``AI¿ÇÃǤˤª¤±¤ë¿ÇÎŶÈ̳¤Î¸úΨ²½,''CPA EXPO, online, (2022/05/13)
[22-IL006] ¿¹ ·òºö,``AI¿·»þÂå¤Ë¤ª¤±¤ë¤¢¤¿¤é¤·¤¤ÉÂÍý³Ø¤Î³ÎΩ¤Ë¸þ¤±¤Æ-¾ðÊ󳨤ÎΩ¾ì¤«¤é,'' Âè111²óÆüËÜÉÂÍý³Ø²ñÁí²ñ, ¿À¸Í¥³¥ó¥Ù¥ó¥·¥ç¥ó¥»¥ó¥¿¡¼, (²ñ´ü¡§2022/4/14-16¡Ë¡Ê2022/4/16¡Ë
[22-IL005] ¿¹ ·òºö,``AI¤È°åÎŻٱç¤ÎºÇÁ°Àþ¡Áµ¡³£³Ø½¬¤òÍѤ¤¤¿°åÍѲèÁü¿ÇÃǻٱ絻½Ñ³«È¯¤Î¸½¾ì¤«¤é¡Á,''¥á¥Ç¥£¥«¥ë¥á¥Ã¥», online (²ñ´ü¡§2022/3/10- 3/11¡Ë¡Ê2022/3/10¡Ë
[22-IL004] ¿¹ ·òºö,``¾ðÊ󳨤«¤é¸«¤¿°ß¤¬¤ó¿ÇÃǼ£ÎŤˤª¤±¤ëAIÍø³èÍѤβÄǽÀ,'' Âè94²óÆüËÜ°ß´â³Ø²ñÁí²ñ, ¥Ñ¥·¥Õ¥£¥³²£ÉÍ, online¡Ê²ñ´ü¡§2022/3/2-3/4¡Ë¡Ê2022/3/3¡Ë
[22-IL003] Kensaku Mori, ``AI for Medical Imaging - Current status and future,'' 6th Taiwan-Japan Academic Research Organization Workshop, online, (2022/02/15)
[22-IL002] ¿¹ ·òºö,``AI¤È¥¹¥Ñ¥³¥ó¤Ç°åÎŤϤɤ¦ÊѤï¤ë¤Î¤«¡©,'' ³Ø»Î²ñ¡¡Ì¾¸Å²°¹Ö±é²ñ, ¥ª¥ó¥é¥¤¥ó, (2022/02/04)
[22-IL001] ¿¹ ·òºö,``µ¡³£³Ø½¬µ»½Ñ¤òÍѤ¤¤¿COVID-19CT²èÁü²òÀϤȲèÁü¥Ç¡¼¥¿¥Ù¡¼¥¹´ðÈ×,'' Âè13²ó¸ÆµÛµ¡Ç½¥¤¥á¡¼¥¸¥ó¥°¸¦µæ²ñ³Ø½Ñ½¸²ñ, ¥ª¥ó¥é¥¤¥ó, (2022/1/22)
[22-I031] 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, ``Joint multi organ and tumor segmentation from partial labels using federated learning,'' Distributed, Collaborative and Federated Learning DeCaF 2022 in conjunction with MICCAI 2022, Resorts World Convention Centre Singapore, (2022/9/22: conference 2022/9/18-9/22)
[22-I030] 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, ``Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method,'' 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022), LNCS13437,pp.736-744, Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I029] Wenda Li, Yuichiro Hayashi, Masahiro Oda, akayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency,'' 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022), LNCS13434,pp.467-477, Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I028] Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I029] Hayato Itoh, Tao Hu, Masahiro Oda, Shinji Saiki, Koji Kamagata, Nobutaka Hattori, Shigeki Aoki,Kensaku Mori, ``Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI,'' 3rd International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2022), in conjunction with 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I028] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itto, Hirotoshi honma,Hirotsugu takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Anatomy Aware-based 2.5D Bronchoscope Tracking for Image-guided Bronchoscopic Navigation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I027] Kai Jiang, Masahiro Oda, Yuichiro Hayashi, Hironari Shiwaku, Masashi Misawad, Kensaku Mori, ``Esophagus Achalasia Diagnosis from Esophagoscopy Based on A Serial Multi-scale Network,'' Joint MICCAI workshop 2021, AE-AI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I026] Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori, ``KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I025] Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, ``Boundary-aware Feature and Prediction Refinement for Polyp Segmentation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I024] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kanane Sato, Yasuhiro Ishimaru, Nobuyuki Uozumi, Kensaku Mori, ``Edge-aware deep learning framework for automatic stomatal segmentation and phenotype measurement for microscopic image,'' Computer vision for microscopy image analysis (CVMI) CVPR2022, (2022/6/19)
[22-I023] Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori, ``Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network,'' Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1864-1873 (2022/6/19-6/20)
[20-I022] Y. Hayashi, K. Misawa, K. Mori, ``Laparoscopic image classification based on surgical areas in laparoscopic gastrectomy,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S57-58,¡¡(Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[20-I021] J. Mutaguchi, M. Oda, E. Kashiwagi, J. Inokuchi, K. Mori, M. Eto, ``Automatic Detection of Bladder Tumors in Narrow-Band Imaging Cystoscopic Images by tiny-YOLO.'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, p.S86, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I020] K. Jiang, H. Itoh, M. Oda, T. Okumura, Y. Mori, M. Misawa, T. Hayashi, S.-E. Kudo, K. Mori, ``Gaussian Affinity and GIoU-based Loss for Perforation Detection and Localization from Colonoscopy Videos,'' [CAD-LE-22-00102] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I019] H. Itoh, M. Misawa, Y. Mori, S.-E. Kudo, M. Oda, K. Mori, ``Positive-Gradient Weighted Object Activation Mapping: Analysis of Object Detector Towards Precise Colorectal-Polyp Localisation,'' [CAD-LE22-00082] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I018] H. Oda, Y. Hayashi, T. Kitasaka, A. Takimoto, A. Hinoki, H. Uchida, K. Suzuki, M. Oda, K. Mori, ``Intestinal obstruction point finding assistance based on intestinal luminal area segmentation,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S116-117, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/8)
[22-I017] W. Li, Y. Hayashi, M. Oda, T. Kitasaka, K. Misawa, K. Mori, ``Attention Guided Self-supervised Monocular Depth Estimation Based on Joint Depth-pose Loss for Laparoscopic Images,'' [CAR-LE-22-00100] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/8)
[22-I016] T. Zheng, H. Oda, T. Hu, Y. Hayashi, S. Nakamura, M. Mori, H. Takabatake, H. Natori, M. Oda, K. Mori, ``2D+3D registration in deformation-adaptive super-resolution for medical images,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S105-106, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I015] T. Shiina, H. Oda, T. Zheng, S. Nakamura, Y. Hayashi, M. Oda, K. Mori, ``Extraction of respiratory bronchioles and alveolar ducts from micro-CT volumes with distance-based tubular structure filter,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S117-118, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I014] C. Wang, Y. Hayashi, M. Oda, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, K. Mori, ``3D bronchus anatomical structure measurement on real bronchoscopic images based on depth images estimated by deep neural network,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S48-49, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I013] Z. Zheng, Y. Hayashi, M. Oda, T. Kitasaka, K. Mori, ``TriMix?: Semi-Supervised Medical Image Segmentation with Mixed-Perturbation-based Regularization,'' [CARLE-22-00103] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I012] J. Qiu, K. Mori, M. Oda, Y. Hayashi, ``Class-wise Confidence-aware Active Learning for Laparoscopic Images Segmentation,'' [CAR-LE22-00095] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I011] R. Zhu, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, K. Mori, ``A Skeleton Context-Aware 3D Fully Convolutional Network for Abdominal Artery Segmentation,'' [CAR-LE22-00095] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I010] Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, "Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes," Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp.1203309-1-9-7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2613317
[22-I009] Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari,Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori, "Multiclass prediction for improving intestine segmentation on non-fecal-tagged CT volume," Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp.120331J-1-J8,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611441
[22-I008] Zhou Zheng, Masahiro Oda, Kazunari Misawa, Kensaku Mori, ``Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation,''Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp. 120333M-1-M-12;SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612535
[22-I007] Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori, ``Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation,'' Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, pp.120340C-1-C-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21)doi: 10.1117/12.2612827
[22-I006] Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori ``Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset,''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120321T-1-T-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611311
[22-I005] Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori, ``Effective hyperparameter optimization with proxy data for multi-organ segmentation,'' Proc. SPIE 12032, Medical Imaging 2022: Image Processing,pp.120320T-1-T-7,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21 doi: 10.1117/12.2611422
[22-I004] Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori, ``Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp. 120320U-1-U-7, ,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611672
[22-I003] Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos,'' Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, pp.120342V-1-V7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612829
[22-I002] Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori, ``Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson¡Çs disease diagnosis,'' Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120323T-1-T-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612830
[22-I001] Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori, ``Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI,''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120323K-1-K-7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi:10.1117/12.2613298
[22-W006] ¸â ±¿¹±, ¾®ÅÄ ¾»¹¨, ÎÓ Íº°ìϺ, ÉðÉô µ®Â§, ¿¹ ·òºö, ``¿¼Áسؽ¬¤Ë´ð¤Å¤¯¥Þ¥¦¥¹¤Î¥¯¥é¥Ë¥¢¥ë¥¦¥£¥ó¥É¥¦²èÁü¤Ë¤ª¤±¤ë·ì´É¥»¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó¤Î¹Í»¡,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-84 vol.121, no.347, pp.174-179, ¥ª¥ó¥é¥¤¥ó (2022/1/27)
[22-W005] ¿¹ ·òºö, ``°åÍѲèÁü½èÍý¤Ë¤è¤ë¿ÍÂι½Â¤¤Î²òÀϤȤ½¤Î¿ÇÃǼ£ÎŤؤαþÍÑ ¡Á 30ǯ´Ö¤Î°åÍѲèÁü¸¦µæ·Ð¸³¤ò¿¶¤êÊÖ¤ê̤Íè¤ò¹Í¤¨¤ë ¡Á,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-74, vol.121, no.347, pp.127-132, ¥ª¥ó¥é¥¤¥ó¡¡(2022/1/27)
[22-W004] ²¬ºê ¿¿¼£, ÎÓ Íº°ìϺ, ¾®ÅÄ ¾»¹¨, ¶¶ËÜ Àµ¹°, ¿Øºê ²í¹°, ÌÀÀÐ ÉÒ¾¼, ÀÄÌÚ Ìмù, ¿¹ ·òºö, ``¶»ÉôCTÁü¤«¤é¤ÎCOVID-19¤Ë´ØÏ¢¤·¤¿½ê¸«Ê¸¤Î¼«Æ°À¸À®¤Î¸¡Æ¤,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-57, vol.121, no.347, pp. 49-54, ¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-W003] °ËÅì È»¿Í, »°ß· ¾»Ë, ¿¹ ͪ°ì, ¹©Æ£ ¿Ê±Ñ, ¾®ÅÄ ¾»¹¨, ¿¹ ·òºö, ``¹âÀºÅÙ¤ÊÂçIJ¥Ý¥ê¡¼¥×¸¡½Ð¤Ë¸þ¤±¤¿ÊªÂθ¡½Ð¥â¥Ç¥ë¤Î²òÀÏ,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-63, vol.121, no.347, pp. 6-81, ¥ª¥ó¥é¥¤¥ó, ¡Ê2022/1/26¡Ë
[22-W002] °ËÅì È»¿Í, ߯ ÅßÊ¿, ¾®ß· ÂîÌé, ¾®ÅÄ ¾»¹¨, Ãݲ¼½¤Í³, °ËÆ£ ²í¾¼, ¿¹ ·òºö, ``Â絬ÌÏÊ¢¹Ð¶Àư²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¹½Ãۤ˸þ¤±¤¿¥ª¥ó¥é¥¤¥ó¥¢¥Î¥Æ¡¼¥·¥ç¥ó¥Ä¡¼¥ë¤Î³«È¯,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-65, vol.121, no.347, pp.86-87, ¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-W001] °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ¿½ ×Ú, ÂçÃÝ µÁ¿Í, ²Ö²¬ ¾ºÊ¿, ½ô²¬ ·ò°ì, ËÜë ½¨·ø, ¸ÅÀî μ, Áýë ²Â¹§, ¿¹ ·òºö, ``MICCAI 2021»²²ÃÊó¹ð,''¡¡ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI),MI2021-67, vol.121, no.347,pp.89-99,¡¡¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-A011] Yunheng WU, Masahiro ODA, Yuichiro HAYASHI, Takanori TAKEBE, Shogo NAGATA, Shuntaro KAWAMURA, Kensaku MORI,``Confocal Laser Scanning Microscope Image Super Resolution for Biomedical Research Based on Two-Stage Generative Adversarial Network,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP7-1, pp.138-139, Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A010] Kai LIU, Masahiro ODA, Tong ZHENG, Yuichiro HAYASHI, Yoshito OTAKE, Masahiro HASHIMOTO, Toshiaki AKASHI, Shigeki AOKI, Kensaku MORI,¡¡``Co-Training for Semi-Supervised CT Segmentation of COVID-19,''Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP4-5, pp.114-115,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A009] Zhongyang LU, Masahiro ODA,1, Yuichiro HAYASHI, Tao Hu, Hayato ITOH, Takeyuki WATADANI, Osamu ABE¡¤Kensaku MORI,¡¡``A Novel Centroid-attention based Hybrid Model for Subarachnoid Hemorrhage Classification on Imbalanced Data,'' Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP3-5, pp.104-105,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22A-008] °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ÀÆÌÚ ¿ÃÆó, ÉþÉô ¿®¹Í, ³ù·Á ¹¯»Ê, ÀÄÌÚ Ìмù, ¿¹ ·òºö,¡¡``¥Æ¥ó¥½¥ëʬ²ò¤òÍѤ¤¤¿¹õ¼ÁåÌÌ©Éô¤Î3 ¼¡¸µ¥Ñ¥¿¡¼¥óɽ¸½¤Ë´Ø¤¹¤ë½é´üŪ¸¡Æ¤,'' Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP6-4, pp.124-125,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22-A007] ÂçÌî ¿¿Æà, ¿½ ×Ú, Holger R. Roth, ¾®ÅÄ ¾»¹¨, ÎÓ Íº°ìϺ, »°ß· °ìÀ®, ¿¹ ·òºö, ``¶³¦¾ðÊó¤ò¹Íθ¤¹¤ë»¼º´Ø¿ô¤òÍѤ¤¤¿FCN ¤Ë¤è¤ëÊ¢Éô CT Áü¤«¤é¤Î¡´ïÎΰèÃê½Ð¤Ë´Ø¤¹¤ë¸¦µæ,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP4-1, pp.106-107,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A006] ½Ð¸ý ÃÒÌé, ÎÓ Íº°ìϺ, ËÌºä ¹§¹¬, ¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®, ¿¹ ·òºö,¡¡``GNN ¤Ë¤è¤ë·ì´É̾¼«Æ°Ì¿Ì¾¼êË¡¤Ë¤ª¤±¤ë¡´ïÆÃħ¤ÎÍøÍѤ˴ؤ¹¤ë¸¡Æ¤,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP1-4, pp.90-91,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22-A005] ±ÝËÜ ·½¸ã ¡¤ÎÓ Íº°ìϺ¡¤ËÌºä ¹§¹¬¡¤¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®, ¿¹¡¡·òºö, ``Ê¢¹Ð¶À±ÇÁü¤«¤é¤Î·ì´ÉÎΰ輫ưÃê½Ð¤Ë¤ª¤±¤ëDilated U‒Net¤ÎÃÊ¿ô¤¬ Ãê½ÐÀºÅÙ¤ËÍ¿¤¨¤ë±Æ¶Á,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)-3, (2022/6/10)
[22-A004] ÎÓ Íº°ìϺ, ÄÔ ¿¿¼£, µÖ Û¿, ¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®¡¤¿¹ ·òºö, ``Ê¢¹Ð¶À²¼°ßÀÚ½ü½Ñ»Ù±ç¤Î¤¿¤á¤ÎÊ¢¹Ð¶À±ÇÁü¤«¤é¤Îç¹Â¡ÎΰèÃê½Ð¤Î¸¡Æ¤,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)‒4, (2022/6/10)
[22-A003] ¿¼°æ ÂçÊ塤¾®ÅÄ ¹Éµ×¡¤ÄÇ̾ ·ò¡¤ÎÓ Íº°ìϺ¡¤Å¢ ÄÌ¡¤ÃæÂ¼ ¾´ÂÀ¡¤ ¾®ÅÄ ¾»¹¨¡¤¿¹ ·òºö, ``nnU‒Net¤Ë¤è¤ëÇÙ¥Þ¥¤¥¯¥íCTÁü¤«¤é¤Î¾®ÍÕ´Ö³ÖÊÉÃê½Ð,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)-6, (2022/6/10)
[22-A002] ¿¹ ·òºö, ``¥³¥ó¥Ô¥å¡¼¥¿³°²Ê¤Ë¤ª¤±¤ëAI¤ÈVision¤Î¥É¥Ã¥¥ó¥°¡½ÃÎǽ¤ÈÃγФηë¹ç¤Ë¤è¤ë¿·¤¿¤Ê¥³¥ó¥Ô¥å¡¼¥¿³°²Ê,'¡ÇÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2,(2022/6/10)
[22-A001]ĹëÀî ´², Ë̸ý ÂçÃÏ, ¾®Åç À®¹À, Ãݲ¼ ½¤Í³, ¿¹ ·òºö, °ËÆ£ ²í¾¼, ``ÂçIJ³°²ÊÎΰè¤Ë¤ª¤±¤ë¾ðÊó»Ù±çÆâ»ë¶À³°²Ê¼ê½Ñ¥·¥¹¥Æ¥à¤Î³«È¯,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2,(2022/6/10)
[22-B001] ±óÅÄ ÎÃ* ³Ø½ÑÏÀʸ - Journal [#l8202341]
[22-J008] Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol. 10, Issue 3, pp.266-273, (First online 21 December 2021) (2022/05) doi: 10.1080/21681163.2021.2012835
[22-J007] Hayato Itoh, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Masahiro Oda, Kensaku Mori, ``Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation,'' International Journal of Computer Assisted Radiology and Surgery, Vol. 17, issue 11, pp. 2051-2063, (First online 8 August 2022)(2022/10) doi: 10.1007/s11548-022-02696-y
[22-J006] Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori, ``SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss,'' Journal of Medical Imaging, Vol.9, No.2, pp.024003-1-28 (2022/04/05) doi: 10.1117/1.JMI.9.2.024003
[22-J005] Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol.10, No.3, pp.274-282, (First online 19 January 2022)(2022/05) doi: 10.1080/21681163.2021.2015723
[22-J004] Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori, ``A cascaded fully convolutional network framework for dilated pancreatic duct segmentation,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, No.2, pp.343-354, (First online 24 December 2021) (2022/02) doi:10.1007/s11548-021-02530-x
[22-J003] Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako K. Kumamaru, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, ``Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, No.1, pp.97-105, (First online 21 October 2021)(2022/01) doi:10.1007/s11548-021-02492-0
[22-J002] 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, ``Impact of the clinical use of artificial intelligence-assisted neoplasia detection for colonoscopy: a large-scale prospective, propensity score-matched study (with video),'' Gastrointestinal Endoscopy, Vol.95, No.1, pp.155-163, (First online 2August 2021) (2022/01) doi.10.1016/j.gie.2021.07.022
[22-J001] Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Ito, Kinichi Hotta, Kensaku Mori, ``Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination,'' Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol.10, No.3, pp.289-298, (First online 19 January 2022)(2022/05) doi: 10.1080/21681163.2021.2004445
[22-M005] ¾®ÅÄ ¾»¹¨, ``ÀâÌÀ²ÄǽAI¤ÈÉԳμÂÀ²òÀϤˤè¤ë¿®Íꤵ¤ì¤ëAI¤Î¼Â¸½,'' Precision Medicine 2022ǯ11·î¹æ, pp.26-29, (2022/10)
[22-M004] ¾®ÅÄ ¾»¹¨, ``°åÎÅAI³«È¯¤Ë¤ª¤±¤ëVision Transformer¤Î²ÄǽÀ,'' ¥¤¥ó¥Ê¡¼¥Ó¥¸¥ç¥ó, Vol.37, No.7, pp.28-31, (2022/07)
[22-M003] ¿¹ ·òºö, ``¥á¥¾¥¹¥³¥Ô¥Ã¥¯Îΰè¤Î²ò˶³ØÅª¹½Â¤²òÀϤòÌܻؤ¹¥ß¥¯¥í¤È¥Þ¥¯¥í¤ÎCT¤ÎÅý¹ç²òÀÏ,'' Medical Imaging Technology, Vol.40, No.1, pp.20-25, (2022/01) doi:org/10.11409/mit.40.20
[22-M002] ¿¹ ·òºö, ``30ǯ´Ö¤Î°åÍѲèÁü¸¦µæ·Ð¸³¤ò¿¶¤êÊÖ¤ê̤Íè¤ò¹Í¤¨¤ë,'' ¾ðÊ󡦥·¥¹¥Æ¥à¥½¥µ¥¤¥¨¥Æ¥£»ï, Vol.27, No.1, ÄÌ´¬106¹æ, (2022/05)
[22-M001] ¿¹ ·òºö, ``¿Í¹©ÃÎǽ(AI)ºÇ¿·Æ°¸þ ³Ø²ñȯɽ¤òÃæ¿´¤Ë(2)-Digital Posterȯɽ¤òÃæ¿´¤Ë, ''¥¤¥ó¥Ê¡¼¥Ó¥¸¥ç¥ó, Vol.37, No.2, pp.30-31, (2022/02)
[22-IL014] ¿¹ ·òºö,``±ó³Ö°åÎŤò»Ù¤¨¤ë²èÁü¡¦±ÇÁü¿ÇÃǻٱ絻½Ñ¤È¤·¤Æ¤Î¿Í¹©ÃÎǽ¤Èµ¡³£³Ø½¬,''Âè26²óÆüËܱó³Ö°åÎųزñ³Ø½ÑÂç²ñ, ºë¶Ì²ñ´Û, (²ñ´ü¡§2022/10/28-10/29)(2022/10/28)
[22-IL013] °ËÅì È»¿Í,``²èÁü¥Ñ¥¿¡¼¥óǧ¼±¤È¤½¤Î±þÍÑ ¡½°å¹©³Ø¤È¤¤¤¦¶³¦Ê¬Ìî¤ËÈô¤Ó¹þ¤ó¤Ç¡½,'' À¸Âΰ幩³Ø¥·¥ó¥Ý¥¸¥¦¥à2022, ¥ª¥ó¥é¥¤¥ó, (²ñ´ü: 2022/9/10-9/11)(2022/9/10)
[22-IL012] ¿¹ ·òºö,``Potential of Glaucoma AI from the viewpoint of date scientist¡Æ¡Ç¥Ç¡¼¥¿¥µ¥¤¥¨¥ó¥Æ¥£¥¹¥È¤«¤é¸«¤¿ÎÐÆâ¾ãAI¤Î²ÄǽÀ,'' Âè33²óÆüËÜÎÐÆâ¾ã³Ø²ñ, ¥Ñ¥·¥Õ¥£¥³²£ÉÍ, (²ñ´ü: 2022/9/16-9/18)(2022/9/16)
[22-IL011] ¿¹ ·òºö,``¥¤¥á¡¼¥¸¥ó¥°¤È¤½¤ÎÃÎŪ½èÍý¤Ë¤è¤ë¿ÇÃǼ£ÎŻٱç, Âè31²óÆüËܥХ¤¥ª¥¤¥á¡¼¥¸¥ó¥°³Ø²ñ³Ø½Ñ½¸²ñ, Âè31²ó³Ø½Ñ½¸²ñÍ׻ݽ¸, Vol.31, No.2, pp.42, (²ñ´ü:2022/9/3-9/5) (2022/9/3)
[22-IL010] ¿¹ ·òºö, ``AI for VR,'' Âè21²óÆüËÜVR°å³Ø²ñ³Ø½ÑÂç²ñ, ̾¸Å²°Âç³Ø¥á¥Ç¥£¥«¥ëxR¥»¥ó¥¿¡¼, (2022/08/27)
[22-IL009] Kensaku Mori, ``AI-based endoscopic procedure – Current and Future,'' CVF/CVPR Medical Computer Vision Workshop, Online, (2022/6/19)
[22-IL008] Kensaku Mori,``The Way of Medical Care in the AI Era - A New Era of Medical Care through Coexistence with AI,'' Âè63²óÆüËÜ¿À·Ð³Ø²ñ³Ø½ÑÂç²ñ, Åìµþ¹ñºÝ¥Õ¥©¡¼¥é¥à, (²ñ´ü¡§2022/05/18-2022/05/21¡Ë(2022/05/18¡Ë
[22-IL007] ¿¹ ·òºö, ``AI¿ÇÃǤˤª¤±¤ë¿ÇÎŶÈ̳¤Î¸úΨ²½,''CPA EXPO, online, (2022/05/13)
[22-IL006] ¿¹ ·òºö,``AI¿·»þÂå¤Ë¤ª¤±¤ë¤¢¤¿¤é¤·¤¤ÉÂÍý³Ø¤Î³ÎΩ¤Ë¸þ¤±¤Æ-¾ðÊ󳨤ÎΩ¾ì¤«¤é,'' Âè111²óÆüËÜÉÂÍý³Ø²ñÁí²ñ, ¿À¸Í¥³¥ó¥Ù¥ó¥·¥ç¥ó¥»¥ó¥¿¡¼, (²ñ´ü¡§2022/4/14-16¡Ë¡Ê2022/4/16¡Ë
[22-IL005] ¿¹ ·òºö,``AI¤È°åÎŻٱç¤ÎºÇÁ°Àþ¡Áµ¡³£³Ø½¬¤òÍѤ¤¤¿°åÍѲèÁü¿ÇÃǻٱ絻½Ñ³«È¯¤Î¸½¾ì¤«¤é¡Á,''¥á¥Ç¥£¥«¥ë¥á¥Ã¥», online (²ñ´ü¡§2022/3/10- 3/11¡Ë¡Ê2022/3/10¡Ë
[22-IL004] ¿¹ ·òºö,``¾ðÊ󳨤«¤é¸«¤¿°ß¤¬¤ó¿ÇÃǼ£ÎŤˤª¤±¤ëAIÍø³èÍѤβÄǽÀ,'' Âè94²óÆüËÜ°ß´â³Ø²ñÁí²ñ, ¥Ñ¥·¥Õ¥£¥³²£ÉÍ, online¡Ê²ñ´ü¡§2022/3/2-3/4¡Ë¡Ê2022/3/3¡Ë
[22-IL003] Kensaku Mori, ``AI for Medical Imaging - Current status and future,'' 6th Taiwan-Japan Academic Research Organization Workshop, online, (2022/02/15)
[22-IL002] ¿¹ ·òºö,``AI¤È¥¹¥Ñ¥³¥ó¤Ç°åÎŤϤɤ¦ÊѤï¤ë¤Î¤«¡©,'' ³Ø»Î²ñ¡¡Ì¾¸Å²°¹Ö±é²ñ, ¥ª¥ó¥é¥¤¥ó, (2022/02/04)
[22-IL001] ¿¹ ·òºö,``µ¡³£³Ø½¬µ»½Ñ¤òÍѤ¤¤¿COVID-19CT²èÁü²òÀϤȲèÁü¥Ç¡¼¥¿¥Ù¡¼¥¹´ðÈ×,'' Âè13²ó¸ÆµÛµ¡Ç½¥¤¥á¡¼¥¸¥ó¥°¸¦µæ²ñ³Ø½Ñ½¸²ñ, ¥ª¥ó¥é¥¤¥ó, (2022/1/22)
[22-I031] 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, ``Joint multi organ and tumor segmentation from partial labels using federated learning,'' Distributed, Collaborative and Federated Learning DeCaF 2022 in conjunction with MICCAI 2022, Resorts World Convention Centre Singapore, (2022/9/22: conference 2022/9/18-9/22)
[22-I030] 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, ``Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method,'' 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022), LNCS13437,pp.736-744, Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I029] Wenda Li, Yuichiro Hayashi, Masahiro Oda, akayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency,'' 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022), LNCS13434,pp.467-477, Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I028] Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I029] Hayato Itoh, Tao Hu, Masahiro Oda, Shinji Saiki, Koji Kamagata, Nobutaka Hattori, Shigeki Aoki,Kensaku Mori, ``Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI,'' 3rd International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2022), in conjunction with 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/22 : conference 2022/9/18-9/22)
[22-I028] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itto, Hirotoshi honma,Hirotsugu takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Anatomy Aware-based 2.5D Bronchoscope Tracking for Image-guided Bronchoscopic Navigation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I027] Kai Jiang, Masahiro Oda, Yuichiro Hayashi, Hironari Shiwaku, Masashi Misawad, Kensaku Mori, ``Esophagus Achalasia Diagnosis from Esophagoscopy Based on A Serial Multi-scale Network,'' Joint MICCAI workshop 2021, AE-AI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I026] Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori, ``KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I025] Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, ``Boundary-aware Feature and Prediction Refinement for Polyp Segmentation,'' Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022) Resorts World Convention Centre Singapore, (2022/9/18 : conference 2022/9/18-9/22)
[22-I024] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kanane Sato, Yasuhiro Ishimaru, Nobuyuki Uozumi, Kensaku Mori, ``Edge-aware deep learning framework for automatic stomatal segmentation and phenotype measurement for microscopic image,'' Computer vision for microscopy image analysis (CVMI) CVPR2022, (2022/6/19)
[22-I023] Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori, ``Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network,'' Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1864-1873 (2022/6/19-6/20)
[20-I022] Y. Hayashi, K. Misawa, K. Mori, ``Laparoscopic image classification based on surgical areas in laparoscopic gastrectomy,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S57-58,¡¡(Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[20-I021] J. Mutaguchi, M. Oda, E. Kashiwagi, J. Inokuchi, K. Mori, M. Eto, ``Automatic Detection of Bladder Tumors in Narrow-Band Imaging Cystoscopic Images by tiny-YOLO.'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, p.S86, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I020] K. Jiang, H. Itoh, M. Oda, T. Okumura, Y. Mori, M. Misawa, T. Hayashi, S.-E. Kudo, K. Mori, ``Gaussian Affinity and GIoU-based Loss for Perforation Detection and Localization from Colonoscopy Videos,'' [CAD-LE-22-00102] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I019] H. Itoh, M. Misawa, Y. Mori, S.-E. Kudo, M. Oda, K. Mori, ``Positive-Gradient Weighted Object Activation Mapping: Analysis of Object Detector Towards Precise Colorectal-Polyp Localisation,'' [CAD-LE22-00082] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/9)
[22-I018] H. Oda, Y. Hayashi, T. Kitasaka, A. Takimoto, A. Hinoki, H. Uchida, K. Suzuki, M. Oda, K. Mori, ``Intestinal obstruction point finding assistance based on intestinal luminal area segmentation,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S116-117, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/8)
[22-I017] W. Li, Y. Hayashi, M. Oda, T. Kitasaka, K. Misawa, K. Mori, ``Attention Guided Self-supervised Monocular Depth Estimation Based on Joint Depth-pose Loss for Laparoscopic Images,'' [CAR-LE-22-00100] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/8)
[22-I016] T. Zheng, H. Oda, T. Hu, Y. Hayashi, S. Nakamura, M. Mori, H. Takabatake, H. Natori, M. Oda, K. Mori, ``2D+3D registration in deformation-adaptive super-resolution for medical images,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S105-106, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I015] T. Shiina, H. Oda, T. Zheng, S. Nakamura, Y. Hayashi, M. Oda, K. Mori, ``Extraction of respiratory bronchioles and alveolar ducts from micro-CT volumes with distance-based tubular structure filter,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S117-118, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I014] C. Wang, Y. Hayashi, M. Oda, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, K. Mori, ``3D bronchus anatomical structure measurement on real bronchoscopic images based on depth images estimated by deep neural network,'' International Journal of Computer Assisted Radiology and Surgery, Vol.17, Sup.1, pp.S48-49, (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I013] Z. Zheng, Y. Hayashi, M. Oda, T. Kitasaka, K. Mori, ``TriMix?: Semi-Supervised Medical Image Segmentation with Mixed-Perturbation-based Regularization,'' [CARLE-22-00103] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I012] J. Qiu, K. Mori, M. Oda, Y. Hayashi, ``Class-wise Confidence-aware Active Learning for Laparoscopic Images Segmentation,'' [CAR-LE22-00095] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I011] R. Zhu, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, K. Mori, ``A Skeleton Context-Aware 3D Fully Convolutional Network for Abdominal Artery Segmentation,'' [CAR-LE22-00095] (Computer Assisted Radiology and Surgery (CARS) 2022), June 7-11, 2022, Tokyo, Japan (2022/6/7)
[22-I010] Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, "Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes," Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp.1203309-1-9-7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2613317
[22-I009] Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari,Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori, "Multiclass prediction for improving intestine segmentation on non-fecal-tagged CT volume," Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp.120331J-1-J8,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611441
[22-I008] Zhou Zheng, Masahiro Oda, Kazunari Misawa, Kensaku Mori, ``Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation,''Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, pp. 120333M-1-M-12;SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612535
[22-I007] Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori, ``Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation,'' Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, pp.120340C-1-C-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21)doi: 10.1117/12.2612827
[22-I006] Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori ``Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset,''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120321T-1-T-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611311
[22-I005] Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori, ``Effective hyperparameter optimization with proxy data for multi-organ segmentation,'' Proc. SPIE 12032, Medical Imaging 2022: Image Processing,pp.120320T-1-T-7,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21 doi: 10.1117/12.2611422
[22-I004] Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori, ``Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp. 120320U-1-U-7, ,SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2611672
[22-I003] Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos,'' Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, pp.120342V-1-V7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612829
[22-I002] Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori, ``Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson¡Çs disease diagnosis,'' Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120323T-1-T-6, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi: 10.1117/12.2612830
[22-I001] Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori, ``Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI,''Proc. SPIE 12032, Medical Imaging 2022: Image Processing, pp.120323K-1-K-7, SPIE Medical Imaging 2022 On Demand, 2022/03/21-2022/03/27 (2022/03/21) doi:10.1117/12.2613298
[22-W006] ¸â ±¿¹±, ¾®ÅÄ ¾»¹¨, ÎÓ Íº°ìϺ, ÉðÉô µ®Â§, ¿¹ ·òºö, ``¿¼Áسؽ¬¤Ë´ð¤Å¤¯¥Þ¥¦¥¹¤Î¥¯¥é¥Ë¥¢¥ë¥¦¥£¥ó¥É¥¦²èÁü¤Ë¤ª¤±¤ë·ì´É¥»¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó¤Î¹Í»¡,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-84 vol.121, no.347, pp.174-179, ¥ª¥ó¥é¥¤¥ó (2022/1/27)
[22-W005] ¿¹ ·òºö, ``°åÍѲèÁü½èÍý¤Ë¤è¤ë¿ÍÂι½Â¤¤Î²òÀϤȤ½¤Î¿ÇÃǼ£ÎŤؤαþÍÑ ¡Á 30ǯ´Ö¤Î°åÍѲèÁü¸¦µæ·Ð¸³¤ò¿¶¤êÊÖ¤ê̤Íè¤ò¹Í¤¨¤ë ¡Á,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-74, vol.121, no.347, pp.127-132, ¥ª¥ó¥é¥¤¥ó¡¡(2022/1/27)
[22-W004] ²¬ºê ¿¿¼£, ÎÓ Íº°ìϺ, ¾®ÅÄ ¾»¹¨, ¶¶ËÜ Àµ¹°, ¿Øºê ²í¹°, ÌÀÀÐ ÉÒ¾¼, ÀÄÌÚ Ìмù, ¿¹ ·òºö, ``¶»ÉôCTÁü¤«¤é¤ÎCOVID-19¤Ë´ØÏ¢¤·¤¿½ê¸«Ê¸¤Î¼«Æ°À¸À®¤Î¸¡Æ¤,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-57, vol.121, no.347, pp. 49-54, ¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-W003] °ËÅì È»¿Í, »°ß· ¾»Ë, ¿¹ ͪ°ì, ¹©Æ£ ¿Ê±Ñ, ¾®ÅÄ ¾»¹¨, ¿¹ ·òºö, ``¹âÀºÅÙ¤ÊÂçIJ¥Ý¥ê¡¼¥×¸¡½Ð¤Ë¸þ¤±¤¿ÊªÂθ¡½Ð¥â¥Ç¥ë¤Î²òÀÏ,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-63, vol.121, no.347, pp. 6-81, ¥ª¥ó¥é¥¤¥ó, ¡Ê2022/1/26¡Ë
[22-W002] °ËÅì È»¿Í, ߯ ÅßÊ¿, ¾®ß· ÂîÌé, ¾®ÅÄ ¾»¹¨, Ãݲ¼½¤Í³, °ËÆ£ ²í¾¼, ¿¹ ·òºö, ``Â絬ÌÏÊ¢¹Ð¶Àư²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¹½Ãۤ˸þ¤±¤¿¥ª¥ó¥é¥¤¥ó¥¢¥Î¥Æ¡¼¥·¥ç¥ó¥Ä¡¼¥ë¤Î³«È¯,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2021-65, vol.121, no.347, pp.86-87, ¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-W001] °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ¿½ ×Ú, ÂçÃÝ µÁ¿Í, ²Ö²¬ ¾ºÊ¿, ½ô²¬ ·ò°ì, ËÜë ½¨·ø, ¸ÅÀî μ, Áýë ²Â¹§, ¿¹ ·òºö, ``MICCAI 2021»²²ÃÊó¹ð,''¡¡ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI),MI2021-67, vol.121, no.347,pp.89-99,¡¡¥ª¥ó¥é¥¤¥ó, (2022/1/26)
[22-A011] Yunheng WU, Masahiro ODA, Yuichiro HAYASHI, Takanori TAKEBE, Shogo NAGATA, Shuntaro KAWAMURA, Kensaku MORI,``Confocal Laser Scanning Microscope Image Super Resolution for Biomedical Research Based on Two-Stage Generative Adversarial Network,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP7-1, pp.138-139, Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A010] Kai LIU, Masahiro ODA, Tong ZHENG, Yuichiro HAYASHI, Yoshito OTAKE, Masahiro HASHIMOTO, Toshiaki AKASHI, Shigeki AOKI, Kensaku MORI,¡¡``Co-Training for Semi-Supervised CT Segmentation of COVID-19,''Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP4-5, pp.114-115,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A009] Zhongyang LU, Masahiro ODA,1, Yuichiro HAYASHI, Tao Hu, Hayato ITOH, Takeyuki WATADANI, Osamu ABE¡¤Kensaku MORI,¡¡``A Novel Centroid-attention based Hybrid Model for Subarachnoid Hemorrhage Classification on Imbalanced Data,'' Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP3-5, pp.104-105,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22A-008] °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ÀÆÌÚ ¿ÃÆó, ÉþÉô ¿®¹Í, ³ù·Á ¹¯»Ê, ÀÄÌÚ Ìмù, ¿¹ ·òºö,¡¡``¥Æ¥ó¥½¥ëʬ²ò¤òÍѤ¤¤¿¹õ¼ÁåÌÌ©Éô¤Î3 ¼¡¸µ¥Ñ¥¿¡¼¥óɽ¸½¤Ë´Ø¤¹¤ë½é´üŪ¸¡Æ¤,'' Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP6-4, pp.124-125,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22-A007] ÂçÌî ¿¿Æà, ¿½ ×Ú, Holger R. Roth, ¾®ÅÄ ¾»¹¨, ÎÓ Íº°ìϺ, »°ß· °ìÀ®, ¿¹ ·òºö, ``¶³¦¾ðÊó¤ò¹Íθ¤¹¤ë»¼º´Ø¿ô¤òÍѤ¤¤¿FCN ¤Ë¤è¤ëÊ¢Éô CT Áü¤«¤é¤Î¡´ïÎΰèÃê½Ð¤Ë´Ø¤¹¤ë¸¦µæ,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP4-1, pp.106-107,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/30¡Ë
[22-A006] ½Ð¸ý ÃÒÌé, ÎÓ Íº°ìϺ, ËÌºä ¹§¹¬, ¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®, ¿¹ ·òºö,¡¡``GNN ¤Ë¤è¤ë·ì´É̾¼«Æ°Ì¿Ì¾¼êË¡¤Ë¤ª¤±¤ë¡´ïÆÃħ¤ÎÍøÍѤ˴ؤ¹¤ë¸¡Æ¤,''¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,OP1-4, pp.90-91,¡¡Âè41²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2022) 2022ǯ7·î29Æü-7·î31Æü, ̾¸Å²°Âç³ØÅ컳¥¥ã¥ó¥Ñ¥¹ËÅĹ֯² (7/29¡Ë
[22-A005] ±ÝËÜ ·½¸ã ¡¤ÎÓ Íº°ìϺ¡¤ËÌºä ¹§¹¬¡¤¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®, ¿¹¡¡·òºö, ``Ê¢¹Ð¶À±ÇÁü¤«¤é¤Î·ì´ÉÎΰ輫ưÃê½Ð¤Ë¤ª¤±¤ëDilated U‒Net¤ÎÃÊ¿ô¤¬ Ãê½ÐÀºÅÙ¤ËÍ¿¤¨¤ë±Æ¶Á,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)-3, (2022/6/10)
[22-A004] ÎÓ Íº°ìϺ, ÄÔ ¿¿¼£, µÖ Û¿, ¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®¡¤¿¹ ·òºö, ``Ê¢¹Ð¶À²¼°ßÀÚ½ü½Ñ»Ù±ç¤Î¤¿¤á¤ÎÊ¢¹Ð¶À±ÇÁü¤«¤é¤Îç¹Â¡ÎΰèÃê½Ð¤Î¸¡Æ¤,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)‒4, (2022/6/10)
[22-A003] ¿¼°æ ÂçÊ塤¾®ÅÄ ¹Éµ×¡¤ÄÇ̾ ·ò¡¤ÎÓ Íº°ìϺ¡¤Å¢ ÄÌ¡¤ÃæÂ¼ ¾´ÂÀ¡¤ ¾®ÅÄ ¾»¹¨¡¤¿¹ ·òºö, ``nnU‒Net¤Ë¤è¤ëÇÙ¥Þ¥¤¥¯¥íCTÁü¤«¤é¤Î¾®ÍÕ´Ö³ÖÊÉÃê½Ð,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2, 22(5)-6, (2022/6/10)
[22-A002] ¿¹ ·òºö, ``¥³¥ó¥Ô¥å¡¼¥¿³°²Ê¤Ë¤ª¤±¤ëAI¤ÈVision¤Î¥É¥Ã¥¥ó¥°¡½ÃÎǽ¤ÈÃγФηë¹ç¤Ë¤è¤ë¿·¤¿¤Ê¥³¥ó¥Ô¥å¡¼¥¿³°²Ê,'¡ÇÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2,(2022/6/10)
[22-A001]ĹëÀî ´², Ë̸ý ÂçÃÏ, ¾®Åç À®¹À, Ãݲ¼ ½¤Í³, ¿¹ ·òºö, °ËÆ£ ²í¾¼, ``ÂçIJ³°²ÊÎΰè¤Ë¤ª¤±¤ë¾ðÊó»Ù±çÆâ»ë¶À³°²Ê¼ê½Ñ¥·¥¹¥Æ¥à¤Î³«È¯,'' ÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñ»ï Âè31²óÆüËÜ¥³¥ó¥Ô¥å¡¼¥¿³°²Ê³Ø²ñÂç²ñÆÃ½¸¹æ (JSCAS2021 2022ǯ6·î9Æü(ÌÚ)¡Á10Æü(¶â),¸×¥ÎÌç¥Ò¥ë¥º¥Õ¥©¡¼¥é¥à, Vol.24, No.2,(2022/6/10)
[22-B002] µÜùõ ÎÖÂÀϺ, ``ȬʬÌÚ¹½Â¤¤ª¤è¤Ó PBD Ë¡¤Ë¤è¤ë¥Ï¥¤¥Ý¥ê¡´ï¥â¥Ç¥ë¤Î¥ê¥¢¥ë¥¿¥¤¥àÊÑ·Á¥·¥ß¥å¥ì¡¼¥·¥ç¥ó,'' ÆüËÜÀ¸Âΰ幩³Ø²ñÅ쳤»ÙÉôÂç²ñ, ³ô¼°²ñ¼Ò¥¹¥º¥±¥óËܼÒ, ̾¸Å²°»Ô, (2022/10/29)
[22-B001] ±óÅÄ ÎÃ, ``Vision transformer ¤È CNN ¤Îº®¹ç¥â¥Ç¥ë¤Ë¤è¤ë¶»Éô CT ²èÁü¤Î COVID-19 ŵ·¿ÅÙʬÎà,'' ÆüËÜÀ¸Âΰ幩³Ø²ñÅ쳤»ÙÉôÂç²ñ, ³ô¼°²ñ¼Ò¥¹¥º¥±¥óËܼÒ, ̾¸Å²°»Ô, (2022/10/29)
[22-BC003] ¾®Åľ»¹¨, °ËÅìÈ»¿Í, ``°åÎÅAI¤È¥Ç¥£¡¼¥×¥é¡¼¥Ë¥ó¥°¥·¥ê¡¼¥º Æâ»ë¶À²èÁüAI,'' ¥ª¡¼¥à¼Ò, ¼ÂÁ©ÊÔ Chapter19: AI¤Ë¤è¤ëÆâ»ë¶À²èÁüʬÎà, pp.179-198, 978-4-274-22564-2, (2022/11)
[22-BC002] ¿¹ ·òºö, ``ºÇÀèü¥Ê¥Î¥é¥¤¥Õ¥·¥¹¥Æ¥à¸¦µæ,'' µ¡³£³Ø½¬¤Ë´ð¤Å¤¤¤¿°åÍѲèÁüǧ¼±¤È¤½¤Î¿ÇÃǼ£ÎÅ, ´ÝÁ±¥×¥é¥Í¥Ã¥È, pp.94-102, (Áí221¥Ú¡¼¥¸), ISBN978-4-86345-520-7 (2022/03)
[22-BC001] Kensaku Mori, ``Multidisciplinary Comuputational Anatomy,'' Springer, ISBN 978-981-16-4324-8, pp.45-55, (Áí398¥Ú¡¼¥¸), 2022
[22-PA001]¿¹ ·òºö ``ºÂÃ̲ñ¡§¥é¡¼¥Ë¥ó¥°¥¢¥Ê¥ê¥Æ¥£¥¯¥¹¤¬¤Ä¤¯¤ë̤Íè¤Î¶µ°é¡¡¶µ¤¨Êý¡¢³Ø¤ÓÊý¡¢Âç³Ø¤ÎÌò³ä¤òÊѤ¨¤ë,'' NII Today, No.94, pp.12-15, (2022/03)
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