| Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study Y Mori, S Kudo, M Misawa, Y Saito, H Ikematsu, K Hotta, K Ohtsuka, ... Annals of internal medicine 169 (6), 357-366, 2018 | 462 | 2018 |
| Artificial intelligence-assisted polyp detection for colonoscopy: initial experience M Misawa, S Kudo, Y Mori, T Cho, S Kataoka, A Yamauchi, Y Ogawa, ... Gastroenterology 154 (8), 2027-2029. e3, 2018 | 357 | 2018 |
| An application of cascaded 3D fully convolutional networks for medical image segmentation HR Roth, H Oda, X Zhou, N Shimizu, Y Yang, Y Hayashi, M Oda, ... Computerized Medical Imaging and Graphics 66, 90-99, 2018 | 313 | 2018 |
| Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with … Y Maeda, S Kudo, Y Mori, M Misawa, N Ogata, S Sasanuma, K Wakamura, ... Gastrointestinal endoscopy 89 (2), 408-415, 2019 | 198 | 2019 |
| Artificial intelligence-assisted system improves endoscopic identification of colorectal neoplasms S Kudo, M Misawa, Y Mori, K Hotta, K Ohtsuka, H Ikematsu, Y Saito, ... Clinical Gastroenterology and Hepatology 18 (8), 1874-1881. e2, 2020 | 194 | 2020 |
| Hierarchical 3D fully convolutional networks for multi-organ segmentation HR Roth, H Oda, Y Hayashi, M Oda, N Shimizu, M Fujiwara, K Misawa, ... arXiv preprint arXiv:1704.06382, 2017 | 187 | 2017 |
| Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video) M Misawa, S Kudo, Y Mori, K Hotta, K Ohtsuka, T Matsuda, S Saito, ... Gastrointestinal endoscopy 93 (4), 960-967. e3, 2021 | 168 | 2021 |
| Deep learning and its application to medical image segmentation HR Roth, C Shen, H Oda, M Oda, Y Hayashi, K Misawa, K Mori Medical Imaging Technology 36 (2), 63-71, 2018 | 160 | 2018 |
| Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images C Chu, M Oda, T Kitasaka, K Misawa, M Fujiwara, Y Hayashi, Y Nimura, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 150 | 2013 |
| Artificial intelligence system to determine risk of T1 colorectal cancer metastasis to lymph node S Kudo, K Ichimasa, B Villard, Y Mori, M Misawa, S Saito, K Hotta, Y Saito, ... Gastroenterology 160 (4), 1075-1084. e2, 2021 | 137 | 2021 |
| Artificial intelligence and colonoscopy: Current status and future perspectives S Kudo, Y Mori, M Misawa, K Takeda, T Kudo, H Itoh, M Oda, K Mori Digestive Endoscopy 31 (4), 363-371, 2019 | 132 | 2019 |
| Accuracy of diagnosing invasive colorectal cancer using computer-aided endocytoscopy K Takeda, S Kudo, Y Mori, M Misawa, T Kudo, K Wakamura, A Katagiri, ... Endoscopy 49 (08), 798-802, 2017 | 132 | 2017 |
| Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective Y Mori, S Kudo, HEN Mohmed, M Misawa, N Ogata, H Itoh, M Oda, K Mori Digestive endoscopy 31 (4), 378-388, 2019 | 120 | 2019 |
| Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study Y Mori, S Kudo, PWY Chiu, R Singh, M Misawa, K Wakamura, T Kudo, ... Endoscopy 48 (12), 1110-1118, 2016 | 116 | 2016 |
| A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation HR Roth, C Shen, H Oda, T Sugino, M Oda, Y Hayashi, K Misawa, K Mori Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 104 | 2018 |
| BESNet: boundary-enhanced segmentation of cells in histopathological images H Oda, HR Roth, K Chiba, J Sokolić, T Kitasaka, M Oda, A Hinoki, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 91 | 2018 |
| Multi-atlas pancreas segmentation: atlas selection based on vessel structure K Karasawa, M Oda, T Kitasaka, K Misawa, M Fujiwara, C Chu, G Zheng, ... Medical image analysis 39, 18-28, 2017 | 85 | 2017 |
| Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts M Misawa, S Kudo, Y Mori, K Takeda, Y Maeda, S Kataoka, H Nakamura, ... International journal of computer assisted radiology and surgery 12, 757-766, 2017 | 76 | 2017 |
| Unsupervised segmentation of 3D medical images based on clustering and deep representation learning T Moriya, HR Roth, S Nakamura, H Oda, K Nagara, M Oda, K Mori Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 72 | 2018 |
| Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut M Oda, T Nakaoka, T Kitasaka, K Furukawa, K Misawa, M Fujiwara, ... Abdominal Imaging. Computational and Clinical Applications: Third …, 2012 | 53 | 2012 |
Kensaku MoriProfessor, Nagoya University在 is.nagoya-u.ac.jp 的电子邮件经过验证
