World's Best Scientists 2026 revealed!
Kensaku Mori

Kensaku Mori

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
17460
World Ranking
4458
National Ranking
47

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Kensaku Mori is affiliated with Nagoya University in Japan. Their research spans the intersection of medicine and computer science, with a focus on multiple subfields including computer vision and pattern recognition, radiology, nuclear medicine and imaging, oncology, surgery, and pulmonary and respiratory medicine.

Their scholarly output includes extensive work in the following main fields:

  • Medicine
  • Computer Science

Within these domains, the scientist's subfields of study involve:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Oncology
  • Surgery
  • Pulmonary and Respiratory Medicine

Mori's main research topics address key areas such as:

  • Colorectal Cancer Screening and Detection
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Gastric Cancer Management and Outcomes
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Surgical Simulation and Training

They have contributed to various scholarly journals and conference venues, most frequently to:

  • International Journal of Computer Assisted Radiology and Surgery
  • arXiv (Cornell University)
  • Gastrointestinal Endoscopy
  • Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  • Endoscopy

The scientist's recent publications include the following papers:

  • Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video), 2020, Gastrointestinal Endoscopy
  • Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node, 2020, Gastroenterology
  • Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video), 2020, Gastrointestinal Endoscopy
  • Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research, 2020, International Journal of Surgery
  • Real-Time Artificial Intelligence-Based Optical Diagnosis of Neoplastic Polyps during Colonoscopy, 2022, NEJM Evidence

Mori works frequently with several co-authors, including:

  • Masahiro Oda
  • Yuichiro Hayashi
  • Masashi Misawa
  • Hayato Itoh
  • Takayuki Kitasaka

Best Publications

  • Attention U-Net: Learning Where to Look for the Pancreas

    Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee

  • Self-supervised learning for medical image analysis using image context restoration.

    Liang Chen;Paul Bentley;Kensaku Mori;Kazunari Misawa

  • Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study

    Yuichi Mori;Shin-Ei Kudo;Masashi Misawa;Yutaka Saito

  • Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

    Masashi Misawa;Shin-ei Kudo;Yuichi Mori;Tomonari Cho

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

    Nicholas Ayache;Hervé Delingette;Polina Golland;Kensaku Mori

  • Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation

    Robin Wolz;Chengwen Chu;Kazunari Misawa;Michitaka Fujiwara

  • DRINet for Medical Image Segmentation

    Liang Chen;Paul Bentley;Kensaku Mori;Kazunari Misawa

  • Extraction of Airways From CT (EXACT'09)

    Pechin Lo;Bram van Ginneken;Joseph M. Reinhardt;Tarunashree Yavarna

  • An application of cascaded 3D fully convolutional networks for medical image segmentation.

    Holger R. Roth;Hirohisa Oda;Xiangrong Zhou;Natsuki Shimizu

  • Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

    Yasuharu Maeda;Shin-ei Kudo;Yuichi Mori;Masashi Misawa

  • Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms

    Shin-ei Kudo;Masashi Misawa;Yuichi Mori;Kinichi Hotta

  • Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system

    K. Mori;J. Hasegawa;Y. Suenaga;J. Toriwaki

  • Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video).

    Masashi Misawa;Shin-ei Kudo;Yuichi Mori;Kinichi Hotta

  • Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration

    D.B. Russakoff;T. Rohlfing;K. Mori;D. Rueckert

  • Characterization of Colorectal Lesions Using a Computer-Aided Diagnostic System for Narrow-Band Imaging Endocytoscopy.

    Masashi Misawa;Shin-ei Kudo;Yuichi Mori;Hiroki Nakamura

  • Exploring Duplicated Regions in Natural Images

    M. Bashar;K. Noda;N. Ohnishi;K. Mori

  • Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images.

    Kensaku Mori;Daisuke Deguchi;Jun Sugiyama;Yasuhito Suenaga

  • Discriminative dictionary learning for abdominal multi-organ segmentation.

    Tong Tong;Robin Wolz;Zehan Wang;Qinquan Gao

  • Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system

    K. Mori;J. Hasegawa;J. Toriwaki;H. Anno

  • Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

    Katsuro Ichimasa;Shin-ei Kudo;Yuichi Mori;Masashi Misawa

  • Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy

    Yuichi Mori;Shin-ei Kudo;Masashi Misawa;Yutaka Saito

Frequent Co-Authors

Holger R. Roth
Holger R. Roth Nvidia (United States)
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Nassir Navab
Nassir Navab Technical University of Munich
Calvin R. Maurer
Calvin R. Maurer Stanford University
Hiroshi Murase
Hiroshi Murase Nagoya University
Ben Glocker
Ben Glocker Imperial College London
Yoshinori Hasegawa
Yoshinori Hasegawa Nagoya University
Julia A. Schnabel
Julia A. Schnabel King's College London
Yoshinobu Sato
Yoshinobu Sato Nara Institute of Science and Technology
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires

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