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Yusuke Kato

Showing results (151-160 of 160) with videos related to

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Gastrointestinal Endoscopy|May 18, 2020
Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter studyTomonori Aoki, Atsuo Yamada, Yusuke Kato, et al.
Scientific Reports|April 9, 2021
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistanceSho Shiroma, Toshiyuki Yoshio, Yusuke Kato, et al.
Ebiomedicine|June 27, 2025
Offspring metabolic programming via the maternal diet increases susceptibility to metabolic dysregulationXuguang Li, Nobuaki Shiraki, Takami Watanabe, et al.
BMC Gastroenterology|May 25, 2023
A single-center prospective study evaluating the usefulness of artificial intelligence for the diagnosis of esophageal squamous cell carcinoma in a real-time settingYasuhiro Tani, Ryu Ishihara, Takahiro Inoue, et al.
Scientific Reports|April 24, 2022
Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical useAyaka Tajiri, Ryu Ishihara, Yusuke Kato, et al.
Journal of Gastroenterology|August 12, 2020
Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligenceYusaku Shimamoto, Ryu Ishihara, Yusuke Kato, et al.
Scientific Reports|June 8, 2017
De novo non-synonymous TBL1XR1 mutation alters Wnt signaling activityAkira Nishi, Shusuke Numata, Atsushi Tajima, et al.
Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|January 27, 2021
Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situationKotaro Waki, Ryu Ishihara, Yusuke Kato, et al.
Journal of Gastroenterology and Hepatology|October 13, 2023
Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy readingTomonori Aoki, Atsuo Yamada, Shiro Oka, et al.
Scientific Reports|March 9, 2021
Coculture with hiPS-derived intestinal cells enhanced human hepatocyte functions in a pneumatic-pressure-driven two-organ microphysiological systemMarie Shinohara, Hiroshi Arakawa, Yuuichi Oda, et al.
Pageof 16

Showing results (151-160 of 160) with videos related to

Sort By:
Pageof 16
You have reached the last page of results.This site can display upto 160 results.
Gastrointestinal Endoscopy|May 18, 2020
Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter studyTomonori Aoki, Atsuo Yamada, Yusuke Kato, et al.
Scientific Reports|April 9, 2021
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistanceSho Shiroma, Toshiyuki Yoshio, Yusuke Kato, et al.
Ebiomedicine|June 27, 2025
Offspring metabolic programming via the maternal diet increases susceptibility to metabolic dysregulationXuguang Li, Nobuaki Shiraki, Takami Watanabe, et al.
BMC Gastroenterology|May 25, 2023
A single-center prospective study evaluating the usefulness of artificial intelligence for the diagnosis of esophageal squamous cell carcinoma in a real-time settingYasuhiro Tani, Ryu Ishihara, Takahiro Inoue, et al.
Scientific Reports|April 24, 2022
Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical useAyaka Tajiri, Ryu Ishihara, Yusuke Kato, et al.
Journal of Gastroenterology|August 12, 2020
Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligenceYusaku Shimamoto, Ryu Ishihara, Yusuke Kato, et al.
Scientific Reports|June 8, 2017
De novo non-synonymous TBL1XR1 mutation alters Wnt signaling activityAkira Nishi, Shusuke Numata, Atsushi Tajima, et al.
Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|January 27, 2021
Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situationKotaro Waki, Ryu Ishihara, Yusuke Kato, et al.
Journal of Gastroenterology and Hepatology|October 13, 2023
Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy readingTomonori Aoki, Atsuo Yamada, Shiro Oka, et al.
Scientific Reports|March 9, 2021
Coculture with hiPS-derived intestinal cells enhanced human hepatocyte functions in a pneumatic-pressure-driven two-organ microphysiological systemMarie Shinohara, Hiroshi Arakawa, Yuuichi Oda, et al.
Pageof 16