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Nobuji Kouno

Showing results (1-10 of 18) with videos related to

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Cureus|December 5, 2022
Intraoperative Indocyanine Green Imaging for the Evaluation of Blood Perfusion Area in Cancer of the Splenic Flexure With an Occluded Inferior Mesenteric Artery: A Report of Two CasesRyo Takahashi, Nobuji Kouno, Takumi Furuya, et al.
Cureus|August 12, 2022
Perioperative Management and Surgical Outcomes of Colorectal Cancer Patients Undergoing Peritoneal Dialysis for End-Stage Kidney DiseaseNobuji Kouno, Ryo Takahashi, Takumi Furuya, et al.
Asian Journal of Endoscopic Surgery|October 6, 2021
Is laparoscopic liver resection safe for super-elderly patients (aged ≥80)? A propensity score-matched analysisShigetoshi Naito, Takahisa Fujikawa, Nobuji Kouno, et al.
Briefings in Bioinformatics|March 24, 2023
Analysis of super-enhancer using machine learning and its application to medical biologyRyuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
NPJ Systems Biology and Applications|May 19, 2025
SEgene identifies links between super enhancers and gene expression across cell typesNorio Shinkai, Ken Asada, Hidenori Machino, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
Introduction of AI Technology for Objective Physical Function AssessmentNobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, et al.
NPJ Digital Medicine|February 11, 2025
Establishment of a machine learning model for predicting splenic hilar lymph node metastasisKenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, et al.
Annals of Gastroenterological Surgery|November 6, 2023
A discrimination model by machine learning to avoid gastrectomy for early gastric cancerTsutomu Hayashi, Ken Takasawa, Takaki Yoshikawa, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like MovementsNobuji Kouno, Satoshi Takahashi, Ken Takasawa, et al.
Cancer Science|November 18, 2024
Current status and future direction of cancer research using artificial intelligence for clinical applicationRyuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Cureus|December 5, 2022
Intraoperative Indocyanine Green Imaging for the Evaluation of Blood Perfusion Area in Cancer of the Splenic Flexure With an Occluded Inferior Mesenteric Artery: A Report of Two CasesRyo Takahashi, Nobuji Kouno, Takumi Furuya, et al.
Cureus|August 12, 2022
Perioperative Management and Surgical Outcomes of Colorectal Cancer Patients Undergoing Peritoneal Dialysis for End-Stage Kidney DiseaseNobuji Kouno, Ryo Takahashi, Takumi Furuya, et al.
Asian Journal of Endoscopic Surgery|October 6, 2021
Is laparoscopic liver resection safe for super-elderly patients (aged ≥80)? A propensity score-matched analysisShigetoshi Naito, Takahisa Fujikawa, Nobuji Kouno, et al.
Briefings in Bioinformatics|March 24, 2023
Analysis of super-enhancer using machine learning and its application to medical biologyRyuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
NPJ Systems Biology and Applications|May 19, 2025
SEgene identifies links between super enhancers and gene expression across cell typesNorio Shinkai, Ken Asada, Hidenori Machino, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
Introduction of AI Technology for Objective Physical Function AssessmentNobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, et al.
NPJ Digital Medicine|February 11, 2025
Establishment of a machine learning model for predicting splenic hilar lymph node metastasisKenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, et al.
Annals of Gastroenterological Surgery|November 6, 2023
A discrimination model by machine learning to avoid gastrectomy for early gastric cancerTsutomu Hayashi, Ken Takasawa, Takaki Yoshikawa, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like MovementsNobuji Kouno, Satoshi Takahashi, Ken Takasawa, et al.
Cancer Science|November 18, 2024
Current status and future direction of cancer research using artificial intelligence for clinical applicationRyuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada, et al.
Pageof 2