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RIKEN Center for Advanced Intelligence Project

Medical Image Analysis Team

Team Leader: Issei Sato (Ph.D.)
Issei  Sato(Ph.D.)

Our goal is to develop machine learning system that analyzes medical data, e.g, medical images, and assists medical diagnosis. We also study the fusion area of machine learning and measuring equipment and develop innovative micro-scale analytical systems such as single cell analysis.

Main Research Field

Computer Science

Related Research Fields

Mathematics / Engineering

Research Subjects

  • Machine leaning
  • Medical image analysis
  • Single cell analysis

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.
  1. Nakao T, Hanaoka S, Nomura Y, Sato I, Nemoto M, Miki S, Maeda E, Yoshikawa T, Hayashi N, Abe O "Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography."
    J Magn Reson Imaging. 2018 Apr;47(4):948-953. doi: 10.1002/jmri.25842. Epub 2017 Aug 24.
  2. *Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama.:
    "Lung lesion detection in FDG-PET/CT with Gaussian process regression"
    Proc. SPIE, 10134, 10134 - 10134 - 7 (2017).
  3. *Keiko Sasada, Noriko Yamamoto, Hiroki Masuda, Yoko Tanaka, Ayako Ishihara, Yasushi Takamatsu, Yutaka Yatomi, Waichiro Katsuda, Issei Sato, Hirotaka Matsui "Inter-observer variance and the need for standardization in the morphological classification of myelodysplastic syndrome"
    Leukemia Research Volume 69, June 2018, Pages 54-59

Lab Members

Principal Investigator

Issei Sato
Team Leader

Core Members

Fumiko Kaswasaki
Research Scientist
Liwei Qiu
Technical Staff I
Hirotaka Matsui
Visiting Scientist

Contact information

Hongo, Bunkyo-ku, Tokyo 7-3-1 The University of Tokyo School of Science, Building No. 7 506

Email: sato [at] k.u-tokyo.ac.jp

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