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Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|October 14, 2022
Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective studyMitsuaki Ishioka, Hiroyuki Osawa, Toshiaki Hirasawa, et al.Journal of Gastroenterology and Hepatology|July 19, 2020
Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imagingHiroya Ueyama, Yusuke Kato, Yoichi Akazawa, et al.Journal of Neuroendovascular Therapy|April 21, 2026
Optimization of Patient Skin Dose by C-Arm Angulation in Interventional Radiology for Spinal Vascular LesionsTomohiro Tada, Masahiro Nishihori, Naruto Sugimoto, et al.Journal of Gastroenterology and Hepatology|July 6, 2023
Comparing artificial intelligence to humans for endoscopic diagnosis of gastric neoplasia: An external validation studySabrina Xin Zi Quek, Jonathan W J Lee, Zhu Feng, et al.Endoscopy|June 6, 2020
Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systemsKen Namikawa, Toshiaki Hirasawa, Kaoru Nakano, et al.Journal of Gastroenterology and Hepatology|June 9, 2020
Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinomaHiroyoshi Iwagami, Ryu Ishihara, Kazuharu Aoyama, et al.Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|April 14, 2020
Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopistsYohei Ikenoyama, Toshiaki Hirasawa, Mitsuaki Ishioka, et al.Esophagus : Official Journal of the Japan Esophageal Society|January 26, 2020
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinomaYoshitaka Tokai, Toshiyuki Yoshio, Kazuharu Aoyama, et al.Gastrointestinal Endoscopy|January 24, 2019
Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural networkTomonori Aoki, Atsuo Yamada, Kazuharu Aoyama, et al.Gastrointestinal Endoscopy|February 22, 2020
Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural networkHiroaki Saito, Tomonori Aoki, Kazuharu Aoyama, et al.Pageof 9