| Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images T Hirasawa, K Aoyama, T Tanimoto, S Ishihara, S Shichijo, T Ozawa, ... Gastric Cancer 21, 653-660, 2018 | 718 | 2018 |
| Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks Y Horie, T Yoshio, K Aoyama, S Yoshimizu, Y Horiuchi, A Ishiyama, ... Gastrointestinal endoscopy 89 (1), 25-32, 2019 | 424 | 2019 |
| Application of convolutional neural networks in the diagnosis of Helicobacter pylori infection based on endoscopic images S Shichijo, S Nomura, K Aoyama, Y Nishikawa, M Miura, T Shinagawa, ... EBioMedicine 25, 106-111, 2017 | 283 | 2017 |
| Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network T Aoki, A Yamada, K Aoyama, H Saito, A Tsuboi, A Nakada, R Niikura, ... Gastrointestinal endoscopy 89 (2), 357-363. e2, 2019 | 267 | 2019 |
| Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis T Ozawa, S Ishihara, M Fujishiro, H Saito, Y Kumagai, S Shichijo, ... Gastrointestinal endoscopy 89 (2), 416-421. e1, 2019 | 199 | 2019 |
| Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images A Tsuboi, S Oka, K Aoyama, H Saito, T Aoki, A Yamada, T Matsuda, ... Digestive Endoscopy 32 (3), 382-390, 2020 | 150 | 2020 |
| Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists K Nakagawa, R Ishihara, K Aoyama, M Ohmori, H Nakahira, N Matsuura, ... Gastrointestinal endoscopy 90 (3), 407-414, 2019 | 147 | 2019 |
| Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks H Takiyama, T Ozawa, S Ishihara, M Fujishiro, S Shichijo, S Nomura, ... Scientific reports 8 (1), 7497, 2018 | 147 | 2018 |
| Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi, A Yamada, M Fujishiro, ... Gastrointestinal endoscopy 92 (1), 144-151. e1, 2020 | 146 | 2020 |
| Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists Y Ikenoyama, T Hirasawa, M Ishioka, K Namikawa, S Yoshimizu, ... Digestive Endoscopy 33 (1), 141-150, 2021 | 137 | 2021 |
| Convolutional neural network for differentiating gastric cancer from gastritis using magnified endoscopy with narrow band imaging Y Horiuchi, K Aoyama, Y Tokai, T Hirasawa, S Yoshimizu, A Ishiyama, ... Digestive diseases and sciences 65, 1355-1363, 2020 | 128 | 2020 |
| Endoscopic detection and differentiation of esophageal lesions using a deep neural network M Ohmori, R Ishihara, K Aoyama, K Nakagawa, H Iwagami, N Matsuura, ... Gastrointestinal endoscopy 91 (2), 301-309. e1, 2020 | 126 | 2020 |
| Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks T Ozawa, S Ishihara, M Fujishiro, Y Kumagai, S Shichijo, T Tada Therapeutic advances in gastroenterology 13, 1756284820910659, 2020 | 117 | 2020 |
| Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band imaging H Ueyama, Y Kato, Y Akazawa, N Yatagai, H Komori, T Takeda, ... Journal of gastroenterology and hepatology 36 (2), 482-489, 2021 | 110 | 2021 |
| Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma Y Tokai, T Yoshio, K Aoyama, Y Horie, S Yoshimizu, Y Horiuchi, ... Esophagus 17, 250-256, 2020 | 110 | 2020 |
| Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network T Aoki, A Yamada, Y Kato, H Saito, A Tsuboi, A Nakada, R Niikura, ... Journal of gastroenterology and hepatology 35 (7), 1196-1200, 2020 | 98 | 2020 |
| Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading T Aoki, A Yamada, K Aoyama, H Saito, G Fujisawa, N Odawara, R Kondo, ... Digestive Endoscopy 32 (4), 585-591, 2020 | 95 | 2020 |
| Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus Y Kumagai, K Takubo, K Kawada, K Aoyama, Y Endo, T Ozawa, ... Esophagus 16, 180-187, 2019 | 95 | 2019 |
| Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images S Shichijo, Y Endo, K Aoyama, Y Takeuchi, T Ozawa, H Takiyama, ... Scandinavian journal of gastroenterology 54 (2), 158-163, 2019 | 89 | 2019 |
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Mitsuhiro FujishiroProfessor, Department of Gastroenterology and Clinical Oncology, The University of Tokyo在 h.u-tokyo.ac.jp 的电子邮件经过验证
