[20-J006] Yuichi Mori, Shin-ei Kudo, James E.East, Amit Rastogi, Michael Bretthauer, Masashi Misawa, Masau Sekiguchi, Takahisa Matsuda, Yutaka Sato, Hiroaki Ikematsu, Kinichi Hotta, Kazuo Ohtsuk, Toyoki Kudo, Kensaku Mori, ``Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video),'' Gastrointestinal Endoscopy, Volume 92, Issue 4, pp.905-911, (2020/10) https://doi.org/10.1016/j.gie.2020.03.3759
[20-J005] 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, ``Robust endocytoscopic image classificationbased on higher-order symmetric tensoranalysis and multi-scale topologicalstatistics,'' International Journal of Computer Assisted Radiology and Surgery,(First online 16 September 2020), https://doi.org/10.1007/s11548-020-02255-3
[20-J004] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Benjamin Villard, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori, ``A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation,'' International Journal of Computer Assisted Radiology and Surgery, (2020/08/07) https://doi.org/10.1007/s11548-020-02241-9
[20-J003] Takuya Yabe, Seiichi Yamamoto, Masahiro Oda, Kensaku Mori, Toshiyuki Toshito, Takashi Akagi, ``Prediction of dose distribution from luminescence image of water using a deep convolutional neural network for particle therapy,'' Medical Physics, Vol.47, No.9, pp.3882-3891,(2020/09) (First online 04 July 2020) https://doi.org/10.1002/mp.14372
[20-J002] Hiroshi Tanaka, Tsuyoshi Igami, Yoshie Shimoyama, Tomoki Ebata, Yukihiro Yokoyama, Kensaku Mori, Masato Nagino, ``New method for the assessment of perineural invasion from perihilar cholangiocarcinoma,'' Surgery Today, (online first) (2020/07) https://doi.org/10.1007/s00595-020-02071-x
[20-J001] Chenglon Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori,``Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation,'' Medical Image Analysis, Volume 60, p.101623, (2020/02) https://doi.org/10.1016/j.media.2019.101623
[20-M002] ¿¹ ·òºö, ``ÈçÇ¢´ï²Ê²èÁü¿ÇÃǤËÍѤ¤¤é¤ì¤ëAIµ»½Ñ¤È¤½¤Î±þÍÑ,'' ÈçÇ¢´ï³°²Ê, Vol.33, No.6, pp.557-561, (2020/06)
[20-M001] ¿¹ ·òºö, ``3D¥×¥ê¥ó¥Æ¥£¥ó¥°¤ÎºÇ¿·Æ°¸þ,'' ¥¤¥ó¥Ê¡¼¥Ó¥¸¥ç¥ó 2020ǯ2·î¹æ, Vol.35, No.2, pp.36-37, (2020/02)
[20-IL009] ¾®ÅÄ ¾»¹¨, ``IT¥Æ¥¯¥Î¥í¥¸¡¼2¡§³°²Ê»Ù±ç¤Ë¤ª¤±¤ëAI¤Î¸½ºß¤È¤³¤ì¤«¤é,'' Âè14²óÆüËÜCAOS¸¦µæ²ñ¡¿Âè26²óÆüËܺǾ®¿¯½±À°·Á³°²Ê³Ø²ñ, ¹âÃΰåÎÅ¥»¥ó¥¿¡¼¡Ê¥ª¥ó¥é¥¤¥ó¡Ë (2020/09/21-2020/09/22)
[20-IL008] ¿¹ ·òºö, ``COVID-19¶»ÉôCTÁü¤ÎAI²òÀÏ,'' GPU¤ò³èÍѤ·¤¿COVID-19ÁÏÌô¤ä¥¹¥Ñ¥³¥ó¤Î²èÁü¿ÇÃÇ¡ÁAI¤ò³èÍѤ·¤¿¿··¿¥³¥í¥Ê¸¦µæ¤Ë´Ø¤¹¤ëNVIDIA¥¦¥§¥Ó¥Ê¡¼, ¥¨¥Ì¥Ó¥Ç¥£¥¢, (online)(2020/8/26)
[20-IL007] Kensaku Mori ``AI based endoscopic procedure,'' Artificial Intelligence in Surgery - a virtual mini-symposium, Wellcome/EPSRC Centre for Interventional & Surgical Sciences (WEISS), (online) (2020/08/04-05)
[20-IL006] ¿¹ ·òºö, ``¿Í¹©ÃÎǽ¤È¿¸µ·×»»²ò˶¥â¥Ç¥ë¤òÍøÍѤ·¤¿¿ÇÃǼ£ÎŻٱç,'' Âè59²óÆüËÜÀ¸Âΰ幩³Ø²ñÂç²ñ, ²¬»³¥³¥ó¥Ù¥ó¥·¥ç¥ó¥»¥ó¥¿¡¼, (online)(2020/5/25-05/27)
[20-IL005] ¿¹ ·òºö, ``Àè¿ÊŪ¤ÊÊü¼ÍÀþ²èÁü½èÍý¤Î¤¿¤á¤Î¥Ç¥£¡¼¥×¥Ë¥å¡¼¥È¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯,'' Âè79²óÆüËܰ峨Êü¼ÍÀþ³Ø²ñÁí²ñweb (2020/05/15-2020/06/05)
[20-IL004] ¾®ÅÄ ¾»¹¨, ``Symposium6, Japan Medical Imaging Database: AI image analysis based on massive data in J-MID,'' Âè79²óÆüËܰ峨Êü¼ÍÀþ³Ø²ñÁí²ñweb (2020/05/15-2020/06/05)
[20-IL003] ¿¹ ·òºö, ``̾¸Å²°Âç³Ø¶µ°é³ØÉôÉí°³Ø¹»¤Ë¤ª¤±¤ëLMSƳÆþ¼èÁÈ¡Á̾Âç¾ðÊó´ðÈ×¥»¥ó¥¿¡¼¤È¤ÎÏ¢·È,'' 4·î¤«¤é¤ÎÂç³ØÅù±ó³Ö¼ø¶È¤Ë´Ø¤¹¤ë¼èÁȾõ¶·¶¦Í¥µ¥¤¥Ð¡¼¥·¥ó¥Ý¥¸¥¦¥à¡Ê¥ª¥ó¥é¥¤¥ó¡Ë,¹ñΩ¾ðÊ󳨏¦µæ½ê, (2020/04/17)
[20-IL002] ¿¹ ·òºö, ``̾¸Å²°Âç³Ø¤Ë¤ª¤±¤ë¾ðÊó´ðÈפò³èÍѤ·¤¿COVID-19Âбþ - ¥ª¥ó¥é¥¤¥ó³Ø½¬¤Î´ÑÅÀ¤«¤é,'' 4·î¤«¤é¤ÎÂç³ØÅù±ó³Ö¼ø¶È¤Ë´Ø¤¹¤ë¼èÁȾõ¶·¶¦Í¥µ¥¤¥Ð¡¼¥·¥ó¥Ý¥¸¥¦¥à¡Ê¥ª¥ó¥é¥¤¥ó), ¹ñΩ¾ðÊ󳨏¦µæ½ê, (2020/03/26)
[20-IL001] ¿¹ ·òºö, ``¥Ð¡¼¥Á¥ã¥ë繴ɶÀ¤òÍѤ¤¤¿ç¹´â¤Î¿ÇÃÇ,'' ¹ñΩ¸¦µæ³«È¯Ë¡¿ÍÎ̻Ҳʳص»½Ñ¸¦µæ³«È¯µ¡¹½ Êü¼ÍÀþ°å³ØÁí¹ç¸¦µæ½ê, ÀéÍÕ¸©(2020/02/06)
[20-I017] 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, ``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, 2020, Munich, Germany (online conference)
[20-I016] C. Wang, M. Oda, Y. Hayashi, B. Villard, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, H. Natori, K. Mori,``A visual SLAM based bronchoscope tracking scheme for bronchoscopic navigation,'' 34th International Congress and Exhibition on Computer Assisted Radiology (CAR), June 23–27, 2020, Munich, Germany (online conference)
[20-I015] H. Oda, Y. Tamada, K. Nishio, T. Kitasaka, H. Amano, K. Chiba, A. Hinoki, H. Uchida, M. Oda, K. Mori, ``Detecting ganglion cells on virtual slide images: Macroscopic masking by superpixel,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S169-170, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I014] Y. Hayashi, C. Shen, T. Igami, M. Nagino, K. Mori, ``Extraction of blood vessel regions in liver from CT volumes using fully convolutional networks for computer assisted liver surgery,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S152-153, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I013] S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa, K. Mori, ``Blood vessel segmentation from laparoscopic video using ConvLSTM U-Net,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S63-64, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I012] T. Zheng, H. Oda, T. Moriya, T. Sugino, S. Nakamura, M. Oda, M. Mori, H. Takabatake, H. Natori, K. Mori, ``SR-CycleGAN V2: CycleGAN-based unsupervised superresolution with pixel-shuffling,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S27-28, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I011] M. Oda, T. Hu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori, ``TinyLoss?: loss function for tiny image difference evaluation and its application to unpaired non-contrast to contrast abdominal CT estimation,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S25-26, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I010] 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, ``Virtual cleansing by unpaired image translation of intestines for detecting obstruction,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S21-22, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I009] C. Shen, M. Oda, H. Roth, H. Oda, Y. Hayashi, K. Misawa, K. Mori, ``An Application of Multi-organ Segmentation from Thick-slice Abdominal CT Volumes using Transfer Learning,'' International Journal of Computer Assisted Radiology and Surgery, Vol.15, Sup.1, pp.S17-18, (Computer Assisted Radiology and Surgery (CARS) 2020), June 23–27, 2020, Munich, Germany (online conference)
[20-I008] Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori, ``Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization,'' Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 1131316-1-7, Mariott Marquis Houston, Texas, USA (2020/2/19, Conference: 2020/2/15-20) doi:10.1117/12.2550496
[20-I007] Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori, ``Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images,'' Proc. SPIE 11315, Medical Imaging 2020: Image- Guided Procedures, Robotic Interventions, and Modeling, 1131518-1-6, Mariott Marquis Houston, Texas, USA (2020/2/18, Conference: 2020/2/15-20) doi:10.1117/12.2549949
[20-I006] Masahiro Oda, Naoyuki Maeda, Takefumi Yamaguchi, Hideki Fukuoka, Yuta Ueno, Kensaku Mori, ``Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique,'' Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131446-1-6, Mariott Marquis Houston, Texas, USA (2020/2/17, Conference: 2020/2/15-20) doi: 10.1117/12.2549951
[20-I005] Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori, ``Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset,'' Proc. SPIE 11314, Medical imaging 2020: Computer-Aided Diagnosis, 113143V-1-6, Mariott Marquis Houston, Texas, USA (2020/2/17, Conference: 2020/2/15-20) doi:10.1117/12.2551022
[20-I004] Hayato Itoh, Zhongyang Lu, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori, "Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis," Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131438-1-8, Mariott Marquis Houston, Texas, USA (2020/2/17, Conference: 2020/2/15-20)doi:10.1117/12.2549532
[20-I003] Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori, ``Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images,'' Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131434-1-8 Mariott Marquis Houston, Texas, USA (2020/2/17, Conference: 2020/2/15-20) doi: 0.1117/12.2548910
[20-I002] Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, ``Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database,'' Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 1131305-1-7, Mariott Marquis Houston, Texas, USA (2020/2/17, Conference: 2020/2/15-20) doi: 10.1117/12.2548929
[20-I001] Chenglong Wang, Masahiro Oda, Kensaku Mori, ``Organ segmentation from full-size CT images using memory-efficient FCN,''Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113140I-1-6, Mariott Marquis Houston, Texas, USA (2020/2/16, Conference: 2020/2/15-20) doi: 10.1117/12.2551024
[20-W007] ÂçÅç Áï»Ë, ¾®ÅÄ ¾»¹¨, ÊÒ¶Í ¹§ÍÎ, ¿¹ ·òºö, ``̾¸Å²°Âç³Ø¥¹¡¼¥Ñ¡¼¥³¥ó¥Ô¥å¡¼¥¿¡ÖÉÔÏ·¡×¤Ë¤ª¤±¤ë°åÍѲèÁü½èÍý,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2020-32, vol. 120, no. 156, MI2020-32, pp. 69-74, (2020/09/03, online)
[20-W006] ¸æ¼êÀö ¿é, ¾®ÅÄ ¹Éµ×, ¿ùÌî µ®ÌÀ, ¼éë µýÂÙ, °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ¾®µÜ»³ Âö¿¿, ¸ÅÀî Ϲ¨, µÜ¸¶ ÎÉÆó, Æ£¾ë ¸÷¹°, ¿¹ ²í¼ù, ¹âÈ« Çî»Ì, ̾¼è Çî, ¿¹ ·òºö, ``¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤ÈSpherical K-means¤òÍѤ¤¤¿°ßÊÉ¥Þ¥¤¥¯¥íCTÁü¤«¤é¤ÎÁع½Â¤¤ª¤è¤Ó¼ðáçÃê½Ð¤Î¸¡Æ¤,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2020-17, vol. 120, no. 156, MI2020-17, pp. 1-6, (2020/09/03, online)
[20-W005] ÇÈ¿¹ø ¿µÌð, ¾®ÅÄ ¹Éµ×, ÎÓ Íº°ìϺ, Holger R. Roth, ÃæÂ¼ ¾´ÂÀ, ¾®ÅÄ ¾»¹¨, ¿¹ ²í¼ù, ¹âÈ« Çî»Ì, ̾¼è Çî, ¿¹ ·òºö, ``Î×¾²ÇÙCT²èÁü¤ÈÀÚ½üÇÙ¥Þ¥¤¥¯¥íCT²èÁü¤ÎÈó¹äÂΰÌÃÖ¹ç¤ï¤»¼êË¡¤Î¸¡Æ¤,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2019-123, vol.119, no.399, pp.249-254, ²Æì¸©ÀÄǯ²ñ´Û (2020/1/30)
[20-W004] À¾Èø ¸÷Ê¿, ¾®ÅÄ ¹Éµ×, ÀéÇÏ ¹Ìμ, ËÌºä ¹§¹¬, ÎÓ Íº°ìϺ, °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ÛØ ¸²À®, ÆâÅÄ ¹É×, ¿¹ ·òºö, ``CycleGAN¤Ë¤è¤ëIJ´ÉÅÅ»ÒÀö¾ô¤È¤½¤ÎIJ´ÉÊĺÉÉô°Ì¸¡½Ð¤Ø¤Î±þÍÑ,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2019-122, vol.119, no.399, pp.243-248, ²Æì¸©ÀÄǯ²ñ´Û (2020/1/30)
[20-W003] ¾®ÅÄ ¾»¹¨, °ËÅì È»¿Í, µÜÆâ æÆ»Ò, ½ô²¬ ·ò°ì, ¾¾ºê Çîµ®, ²Ö²¬ ¾ºÊ¿, ¸ÅÀî μ, Áýë ²Â¹§, ¿¹ ·òºö, ``MICCAI 2019»²²ÃÊó¹ð,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2019-117, vol.119, no.399, pp.219-226, ²Æì¸©ÀÄǯ²ñ´Û (2020/1/30)
[20-W002] »³ËÜ æÆÂÀ, ÎÓ Íº°ìϺ, À¹Ëþ ¿µÂÀϺ, ¾®ß· ÂîÌé, ËÌºä ¹§¹¬, ¾®ÅÄ ¾»¹¨, Ãݲ¼ ½¤Í³, °ËÆ£ ²í¾¼, ¿¹ ·òºö, ``Ê¢¹Ð¶À²¼¼ê½Ñ»Ù±ç¤Î¤¿¤á¤ÎU-Net¤Ë´ð¤Å¤¯Ê¢¹Ð¶Àư²èÁü¤«¤é¤Î½Ð·ìÎΰè¤Î¿äÄê,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2019-115, vol.119, no.399, pp.209-214, ²Æì¸©ÀÄǯ²ñ´Û (2020/1/30)
[20-W001] ¾®ß· ÂîÌé, ÎÓ Íº°ìϺ, ¾®ÅÄ ¹Éµ×, ¾®ÅÄ ¾»¹¨, ËÌºä ¹§¹¬, Ãݲ¼ ½¤Í³, °ËÆ£ ²í¾¼, ¿¹ ·òºö, ``²¾ÁÛÊ¢¹Ð¶À²èÁüÀ¸À®¤È¿¼Áسؽ¬¤Ë¤è¤ëÊ¢¹Ð¶À²èÁü¤«¤é¤Î½Ñ¶ñÎΰ襻¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó,'' ÅŻҾðÊóÄÌ¿®³Ø²ñµ»½Ñ¸¦µæÊó¹ð(MI), MI2019-94, vol.119, no.399, pp.129-134, ²Æì¸©ÀÄǯ²ñ´Û (2020/1/29)
[20-A014] ÅË ·Ý¹ë, °ËÅì È»¿Í, ¾®ß· ÂîÌé, ¾®ÅÄ ¾»¹¨, Ãݲ¼ ½¤Í³, °ËÆ£ ²í¾¼, ¿¹ ·òºö, ``Ê¢¹Ð¶À¼ê½Ñư²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¹½Ãۤ˸þ¤±¤¿¥ê¥â¡¼¥È¥¢¥Î¥Æ¡¼¥·¥ç¥ó¥Ä¡¼¥ë¤Î¥×¥í¥È¥¿¥¤¥×³«È¯,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P5-23, pp.611-615, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/19)
[20-A013] Wenda Li, Yuichiro Hayashi, Masahiro Ooda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, ``Spatial Information Considered Self-Supervised Depth Estimation Based on Image Pairs from Stereo Laparoscope,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P5-21, pp.602-606, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/19)
[20-A012] °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, ¿¹ ͪ°ì, »°ß· ¾»Ë, ¹©Æ£ ¿Ê±Ñ, ËÙÅÄ ¶Õ°ì, ¹âÈ« Çî»Ì, ¿¹ ²í¼ù, ̾¼è Çî, ¿¹ ·òºö, ``ÂçIJÆâ»ë¶À¤Î¤¿¤á¤Î¶µ»Õ¤Ê¤·¿¼ÅÙ²èÁü¿äÄêË¡¤Ë¤ª¤±¤ëÊä½õ¥¿¥¹¥¯¸¡Æ¤,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P5-14, pp.563-568, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/19)
[20-A011] Dongping Pan, Kou Katayama, Takanobu Okubo, Kensaku Mori, ```Cross-phase CT Image Registration Using Convolutional Neural Network,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P4-17, pp.488-493, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/19)
[20-A010] Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, ``Unsupervised 3D Super-resolution of Clinical CT Volumes by Utilizing Multi-axis 2D Super-resolution,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P3-15, pp.377-384, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/18)
[20-A009] Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako Kunishishima Kumamaru, Shigeki Aoki, Kensaku Mori, ``Cross-phase CT Image Registration Using Convolutional Neural Network,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P2-20, pp.276-280, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/18)
[20-A008] ÆüÈæ ͵ÂÀ, ÎÓ Íº°ìϺ, ËÌºä ¹§¹¬, °ËÅì È»¿Í, ¾®ÅÄ ¾»¹¨, »°ß· °ìÀ®, ¿¹ ·òºö, ``¹ÈϰϤÎÎÙÀÜ´Ø·¸¤ò¹Íθ¤·¤¿¥°¥é¥Õ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿Ê¢Éôư̮·ì´É̾¼«Æ°Ì¿Ì¾¤Î¸¡Æ¤,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P2-18, pp.268-271, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/18)
[20-A007] »³ËÜ æÆÂÀ, À¹Ëþ ¿µÂÀϺ, ÎÓ Íº°ìϺ, ËÌºä ¹§¹¬, ¾®ÅÄ ¾»¹¨, °ËÆ£ ²í¾¼, Ãݲ¼ ½¤Í³, ¿¹ ·òºö, ``Âç°èµÚ¤Ó¶É½ê¾ðÊó¤òÍѤ¤¤¿¿¼Áسؽ¬¤Ë¤è¤ë½Ð·ìÎΰ輫ư¥»¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P2-13, pp.246-249, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/18)
[20-A006] À¹Ëþ ¿µÂÀϺ, »³ËÜ æÆÂÀ, ËÌºä ¹§¹¬, ÎÓ Íº°ìϺ, ¾®ÅÄ ¾»¹¨, Ãݲ¼ ½¤Í³, °ËÆ£ ²í¾¼, »°ß· °ìÀ®, ¿¹ ·òºö, ``Dilated convolution ¤òÍѤ¤¤¿ FCN ¤Ë¤è¤ëÊ¢¹Ð¶Àư²èÁü¤«¤é¤Î·ì´ÉÎΰèÃê½Ð,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P2-10, pp.230-233, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/18)
[20-A005] Tao Chu, Masahiro Oda, Akira Furuta, Tokunori Yamamoto, Kensaku Mori, ``Preliminary Study on Classification of Interstitial Cystitis Using Cystoscopy Images,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P1-24, pp.186-191, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/17)
[20-A004] ¾®ÅÄ ¾»¹¨, ÎÓ Íº°ìϺ, ÂçÃÝ µÁ¿Í, ¶¶ËÜ Àµ¹°, ÌÀÀÐ ÉÒ¾¼, ¿¹ ·òºö, ``COVID-19 ¾ÉÎã¤ÎÄêÎÌɾ²Á¤Î¤¿¤á¤ÎCT Áü¤«¤é¤ÎÇÙÌư¥»¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P1-23, pp.181-184, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/17)
[20-A003] Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Ito¡¤Takeyuki Watadani¡¤Osamu Abe¡¤Masahiro Hashimoto¡¤Masahiro Jinzaki¡¤Kensaku Mori, ``A study on Subarachnoid Hemorrhage automatic detection utilized Transfer Learning on extremely imbalanced brain CT datasets,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P1-20, pp.168-172, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/17)
[20-A002] ÎÓ Íº°ìϺ, Îë¼ ͪµ±, ²¬ºê ¿¿¼£, ¾®ÅÄ ¾»¹¨, ¿¹ ·òºö, ``ÆÉ±Æ¥ì¥Ý¡¼¥È²òÀϤòÍøÍѤ·¤¿°åÍѲèÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¤«¤é¤Î¥¢¥Î¥Æ¡¼¥·¥ç¥óÉÕ¤¥Ç¡¼¥¿¥»¥Ã¥ÈºîÀ®¤Ë´Ø¤¹¤ë½é´ü¸¡Æ¤,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P1-19, pp.163-167, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/17)
[20-A001] Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori, ``Preliminary Study of Perforation Detection and Localization for Colonoscopy Video,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸,P1-15, pp.142-147, Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü-9·î19Æü, ¥ª¥ó¥é¥¤¥ó³«ºÅ, (2020/9/17)
[20-BC003] ¿¹ ·òºö, ``̤Í褫¤é¤ÎÌ䤤¡¡ÆüËܳؽѲñµÄ100ǯ¤ò¹½ÁÛ¤¹¤ë'', Æü·Ð°õºþ½ÐÈÇ, 4-3¡¡°åÎŤˤª¤±¤ë¥Ó¥Ã¥°¥Ç¡¼¥¿¡¦AI, pp.149-150,ISBN 978-4-86579-234-8 (2020/09)
[20-BC002] ¾®Åľ»¹¨, ``°åÎÅAI¤È¥Ç¥£¡¼¥×¥é¡¼¥Ë¥ó¥° Êü¼ÍÀþ¼£ÎÅAI¤È³°²Ê¼£ÎÅAI,'' ¥ª¡¼¥à¼Ò, ·¡¥AI³°²Ê¼£ÎÅÊÔ Chapter3: ÂçIJ¤Î¼£ÎŤȿÇÃǤˤª¤±¤ëAI, pp.??-??, 978-4-274-22547-5, (2020/04)
[20-BC001] ¿¹ ·òºö, ``¿·¡¦°åÍÑÊü¼ÍÀþ²Ê³Ø¹ÖºÂ¡¡°åÍѲèÁü¾ðÊ󹩳Ø,'' °å»õÌô½ÐÈdzô¼°²ñ¼Ò, 3D¥×¥ê¥ó¥Æ¥£¥ó¥°µ»½Ñ¤Î°åÎűþÍÑ, pp.134-139,ISBN978-4-263-20648-5 (2020/02)
[20-PA002] ¾®ÅÄ ¾»¹¨, ``¥Ï¥ó¥º¥ª¥ó¥»¥ß¥Ê¡¼3¡§³°²ÊÎΰè¤Ë¤ª¤±¤ë°åÎÅÍѲèÁü¤Î¿¼Áسؽ¬,'' Âè14²óÆüËÜCAOS¸¦µæ²ñ¡¿Âè26²óÆüËܺǾ®¿¯½±À°·Á³°²Ê³Ø²ñ, ¹âÃΰåÎÅ¥»¥ó¥¿¡¼¡Ê¥ª¥ó¥é¥¤¥ó¡Ë (2020/09/21-2020/09/22)
[20-PA001] ¸¶Éð»Ë, Íûï°ÈÏ, ÃæÅÄŵÀ¸, ¾®Åľ»¹¨, ``JAMIT¥Ï¥ó¥º¥ª¥ó¥»¥ß¥Ê¡¼,'' Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñͽ¹Æ½¸, HS1-5 Âè39²óÆüËܰåÍѲèÁü¹©³Ø²ñÂç²ñ¡ÊJAMIT2020) 2020ǯ9·î17Æü(ÌÚ)-9·î19Æü(ÅÚ)¡Ê¥ª¥ó¥é¥¤¥ó¡Ë (2020/09/17-19)
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