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Yusuke Matsunobu

Showing results (1-10 of 17) with videos related to

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Radiological Physics and Technology|May 2, 2016
Evaluation of the usefulness of modified biological fingerprints in chest radiographs for patient recognition and identificationYoichiro Shimizu, Yusuke Matsunobu, Junji Morishita
Legal Medicine (Tokyo, Japan)|September 5, 2017
Bone comparison identification method based on chest computed tomography imagingYusuke Matsunobu, Junji Morishita, Yosuke Usumoto, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Gray-Scale Extraction of Bone Features from Chest Radiographs Based on Deep Learning Technique for Personal Identification and Classification in Forensic MedicineYeji Kim, Yongsu Yoon, Yusuke Matsunobu, et al.
Radiological Physics and Technology|November 22, 2018
Evaluation of the depiction ability of similar subtraction images using digital chest radiographs of different patientsYoichiro Shimizu, Junji Morishita, Yusuke Matsunobu, et al.
Radiological Physics and Technology|September 7, 2018
Improving image quality around subtle lung nodules by reducing artifacts in similar subtraction imagingHitomi Nakamura, Junji Morishita, Yoichiro Shimizu, et al.
Legal Medicine (Tokyo, Japan)|July 3, 2017
Sex determination based on a thoracic vertebra and ribs evaluation using clinical chest radiographyShun Tsubaki, Junji Morishita, Yosuke Usumoto, et al.
Annals of Gastroenterological Surgery|May 18, 2026
Educational Impact of Artificial Intelligence-Navigation Surgery on Anatomical Landmark Recognition in Medical StudentsShigeo Ninomiya, Yusuke Matsunobu, Tabito Oyama, et al.
Annals of Surgery Open : Perspectives of Surgical History, Education, and Clinical Approaches|June 25, 2026
Generative AI-Assisted Indication of Anatomical Landmarks to Enhance Safety under Intraoperative Bleeding in Laparoscopic Gastrectomy for Gastric CancerReo Fujishima, Yusuke Matsunobu, Tsuyoshi Etoh, et al.
Surgical Endoscopy|April 20, 2020
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomyTatsushi Tokuyasu, Yukio Iwashita, Yusuke Matsunobu, et al.
Surgical Endoscopy|March 10, 2022
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomyKen'ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Radiological Physics and Technology|May 2, 2016
Evaluation of the usefulness of modified biological fingerprints in chest radiographs for patient recognition and identificationYoichiro Shimizu, Yusuke Matsunobu, Junji Morishita
Legal Medicine (Tokyo, Japan)|September 5, 2017
Bone comparison identification method based on chest computed tomography imagingYusuke Matsunobu, Junji Morishita, Yosuke Usumoto, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Gray-Scale Extraction of Bone Features from Chest Radiographs Based on Deep Learning Technique for Personal Identification and Classification in Forensic MedicineYeji Kim, Yongsu Yoon, Yusuke Matsunobu, et al.
Radiological Physics and Technology|November 22, 2018
Evaluation of the depiction ability of similar subtraction images using digital chest radiographs of different patientsYoichiro Shimizu, Junji Morishita, Yusuke Matsunobu, et al.
Radiological Physics and Technology|September 7, 2018
Improving image quality around subtle lung nodules by reducing artifacts in similar subtraction imagingHitomi Nakamura, Junji Morishita, Yoichiro Shimizu, et al.
Legal Medicine (Tokyo, Japan)|July 3, 2017
Sex determination based on a thoracic vertebra and ribs evaluation using clinical chest radiographyShun Tsubaki, Junji Morishita, Yosuke Usumoto, et al.
Annals of Gastroenterological Surgery|May 18, 2026
Educational Impact of Artificial Intelligence-Navigation Surgery on Anatomical Landmark Recognition in Medical StudentsShigeo Ninomiya, Yusuke Matsunobu, Tabito Oyama, et al.
Annals of Surgery Open : Perspectives of Surgical History, Education, and Clinical Approaches|June 25, 2026
Generative AI-Assisted Indication of Anatomical Landmarks to Enhance Safety under Intraoperative Bleeding in Laparoscopic Gastrectomy for Gastric CancerReo Fujishima, Yusuke Matsunobu, Tsuyoshi Etoh, et al.
Surgical Endoscopy|April 20, 2020
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomyTatsushi Tokuyasu, Yukio Iwashita, Yusuke Matsunobu, et al.
Surgical Endoscopy|March 10, 2022
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomyKen'ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, et al.
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