Bleeding after endoscopic submucosal dissection: Risk factors and preventive methods
Yosuke Kataoka(The University of Tokyo), Kazuhiko Koike(Kanto Central Hospital), Shinya Kodashima(The University of Tokyo), Satoshi Ono, Yoshiki Sakaguchi(The University of Tokyo), Chihiro Minatsuki(The University of Tokyo), Mitsuhiro Fujishiro(Bunkyo University), Nobutake Yamamichi(The University of Tokyo), Itsuko Asada‐Hirayama(The University of Tokyo), Keiko Niimi(The University of Tokyo), Yosuke Tsuji(The University of Tokyo)
Cited by 93
Related Papers
Hepatocellular carcinoma
|Nature Reviews Disease Primers|2021|6.6k
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
|Gastric Cancer|2018|742
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer
|Digestive Endoscopy|2015|575
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer (second edition)
|Digestive Endoscopy|2020|510
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
|Gastrointestinal Endoscopy|2018|470