Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural networkTomonori Aoki, Tomohiro Tada, Kazuhiko Koike et al.|Gastrointestinal Endoscopy|2018Cited by 305
Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural networkHiroaki Saito, Tomohiro Tada, Tomonori Aoki et al.|Gastrointestinal Endoscopy|2020Cited by 172
Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy imagesAkiyoshi Tsuboi, Tomohiro Tada, Shiro Oka et al.|Digestive Endoscopy|2019Cited by 171
Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy readingTomonori Aoki, Tomohiro Tada, Atsuo Yamada et al.|Digestive Endoscopy|2019Cited by 116
Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural networkTomonori Aoki, Tomohiro Tada, Atsuo Yamada et al.|Journal of Gastroenterology and Hepatology|2019Cited by 116