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Nobuyoshi Takeshita

Showing results (1-10 of 86) with videos related to

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Clinical Endoscopy|August 31, 2016
Endoscopic Closure for Full-Thickness Gastrointestinal Defects: Available Applications and Emerging InnovationsNobuyoshi Takeshita, Khek Yu Ho
BMC Surgery|October 23, 2020
Novel oxygen saturation imaging endoscopy to assess anastomotic integrity in a porcine ischemia modelHiro Hasegawa, Nobuyoshi Takeshita, Masaaki Ito
Clinical Endoscopy|September 23, 2016
Raman Spectroscopy for the Endoscopic Diagnosis of Esophageal, Gastric, and Colonic DiseasesNeel Sharma, Nobuyoshi Takeshita, Khek Yu Ho
Annals of Gastroenterological Surgery|February 2, 2022
Artificial intelligence-based computer vision in surgery: Recent advances and future perspectivesDaichi Kitaguchi, Nobuyoshi Takeshita, Hiro Hasegawa, et al.
BMC Surgery|January 9, 2022
Validation of a novel virtual reality simulation system with the focus on training for surgical dissection during laparoscopic sigmoid colectomyTakashi Mori, Koji Ikeda, Nobuyoshi Takeshita, et al.
Diseases of the Colon and Rectum|July 3, 2024
Deep Learning-Based Real-Time Ureter Identification in Laparoscopic Colorectal SurgerySatoshi Narihiro, Daichi Kitaguchi, Hiro Hasegawa, et al.
BMC Surgery|May 11, 2023
Novel external reinforcement device for gastrointestinal anastomosis in an experimental studyHiro Hasegawa, Nobuyoshi Takeshita, Woogi Hyon, et al.
Endoscopy International Open|August 15, 2018
Global Evaluative Assessment of Robotic Skills in Endoscopy (GEARS-E): objective assessment tool for master and slave transluminal endoscopic robotNobuyoshi Takeshita, Soo Jay Phee, Philip WaiYan Chiu, et al.
Scientific Reports|July 22, 2022
Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environmentsDaichi Kitaguchi, Toru Fujino, Nobuyoshi Takeshita, et al.
BJS Open|March 7, 2023
Automatic purse-string suture skill assessment in transanal total mesorectal excision using deep learning-based video analysisDaichi Kitaguchi, Koichi Teramura, Hiroki Matsuzaki, et al.
Pageof 9

Showing results (1-10 of 86) with videos related to

Sort By:
Pageof 9
Clinical Endoscopy|August 31, 2016
Endoscopic Closure for Full-Thickness Gastrointestinal Defects: Available Applications and Emerging InnovationsNobuyoshi Takeshita, Khek Yu Ho
BMC Surgery|October 23, 2020
Novel oxygen saturation imaging endoscopy to assess anastomotic integrity in a porcine ischemia modelHiro Hasegawa, Nobuyoshi Takeshita, Masaaki Ito
Clinical Endoscopy|September 23, 2016
Raman Spectroscopy for the Endoscopic Diagnosis of Esophageal, Gastric, and Colonic DiseasesNeel Sharma, Nobuyoshi Takeshita, Khek Yu Ho
Annals of Gastroenterological Surgery|February 2, 2022
Artificial intelligence-based computer vision in surgery: Recent advances and future perspectivesDaichi Kitaguchi, Nobuyoshi Takeshita, Hiro Hasegawa, et al.
BMC Surgery|January 9, 2022
Validation of a novel virtual reality simulation system with the focus on training for surgical dissection during laparoscopic sigmoid colectomyTakashi Mori, Koji Ikeda, Nobuyoshi Takeshita, et al.
Diseases of the Colon and Rectum|July 3, 2024
Deep Learning-Based Real-Time Ureter Identification in Laparoscopic Colorectal SurgerySatoshi Narihiro, Daichi Kitaguchi, Hiro Hasegawa, et al.
BMC Surgery|May 11, 2023
Novel external reinforcement device for gastrointestinal anastomosis in an experimental studyHiro Hasegawa, Nobuyoshi Takeshita, Woogi Hyon, et al.
Endoscopy International Open|August 15, 2018
Global Evaluative Assessment of Robotic Skills in Endoscopy (GEARS-E): objective assessment tool for master and slave transluminal endoscopic robotNobuyoshi Takeshita, Soo Jay Phee, Philip WaiYan Chiu, et al.
Scientific Reports|July 22, 2022
Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environmentsDaichi Kitaguchi, Toru Fujino, Nobuyoshi Takeshita, et al.
BJS Open|March 7, 2023
Automatic purse-string suture skill assessment in transanal total mesorectal excision using deep learning-based video analysisDaichi Kitaguchi, Koichi Teramura, Hiroki Matsuzaki, et al.
Pageof 9