Showing results (21-30 of 69) with videos related to

Sort By:
Pageof 7
Digestive Diseases and Sciences|June 20, 2020
Comparison of Two Specialized Histology Needles for Endoscopic Ultrasound (EUS)-Guided Liver Biopsy: A Pilot StudyRintaro Hashimoto, David P Lee, Jason B Samarasena, et al.
World Journal of Gastroenterology|September 14, 2016
Carbon dioxide insufflation in esophageal endoscopic submucosal dissection reduces mediastinal emphysema: A randomized, double-blind, controlled trialYuki Maeda, Dai Hirasawa, Naotaka Fujita, et al.
Endoscopy International Open|October 20, 2022
Assigning a different endoscopist for each annual follow-up may contribute to improved gastric cancer detection ratesShuhei Unno, Kimihiro Igarashi, Hiroaki Saito, et al.
ACG Case Reports Journal|October 17, 2019
Successful Curative Cryoablation of an Esophageal Gastrointestinal Stromal TumorDaniel Mai, Rintaro Hashimoto, Allen Yu, et al.
Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|October 31, 2014
Usefulness of the thread-traction method in esophageal endoscopic submucosal dissection: randomized controlled trialYoshiki Koike, Dai Hirasawa, Naotaka Fujita, et al.
Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|June 25, 2011
Mediastinal emphysema after esophageal endoscopic submucosal dissection: its prevalence and clinical significanceYuki Maeda, Dai Hirasawa, Naotaka Fujita, et al.
Endoscopy International Open|December 17, 2021
Benefit, tolerance, and safety of hybrid argon plasma coagulation for treatment of Barrett's esophagus: US pilot studyToshitaka Shimizu, Jason B Samarasena, Kyle J Fortinsky, et al.
Esophagus : Official Journal of the Japan Esophageal Society|April 8, 2017
Prediction of the invasion depth of superficial squamous cell carcinoma based on microvessel morphology: magnifying endoscopic classification of the Japan Esophageal SocietyTsuneo Oyama, Haruhiro Inoue, Miwako Arima, et al.
Gastroenterology Report|July 28, 2021
Automatic anatomical classification of colonoscopic images using deep convolutional neural networksHiroaki Saito, Tetsuya Tanimoto, Tsuyoshi Ozawa, et al.
Pageof 7