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RIKEN Center for Integrative Medical Sciences Medical Data Deep Learning Team

Team Director: Jun Seita (M.D., Ph.D.)

Research Summary

Jun  Seita(M.D., Ph.D.)

We study the application of deep learning to medical and health data. Our main research themes are prediction of future health conditions using time series data, estimation of physical conditions from various sensor data and image data, and generation of medical data and privacy protection using deep generative models.

Main Research Fields

  • Complex Systems

Related Research Fields

  • Informatics
  • Biological Sciences
  • Biology
  • Medicine, Dentistry & Pharmacy

Keywords

  • Deep learning
  • Systems biology
  • Systems medicine

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

  • 1. Miyasaka A, Kanda T, Nonaka N, Terakoshi Y, Cherasse Y, Ishikawa Y, Li Y, Takizawa H, Hirano A, Seita J, Yanagisawa M, Sakurai T, Sakurai K, Liu Q.:
    "Sequential transitions of male sexual behaviors driven by dual acetylcholine-dopamine dynamics."
    Neuron. 2025 Mar 3
  • 2. Nonaka N, Seita J.:
    "Efficient Self-supervised Pretraining with Simple Synthesized ECG."
    Machine Learning for Health, Vancouver, Dec 15-16, 2024
  • 3. Horikawa H, Tanese K, Nonaka N, Seita J, Amagai M, Saito M.:
    "Reliable and easy-to-use calculating tool for the Nail Psoriasis Severity Index using deep learning."
    NPJ Syst Biol Appl. 2024 Nov 7
  • 4. Nonaka N, Fujihira R, Koshiba T, Maeda A, Seita J.:
    "Rugby Scene Classification Enhanced by Vision Language Model."
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVSports), Seattle, June 17, 2024
  • 5. Nishio M, Nonaka N, Fujihira R, Murakami H, Tajima T, Yamada M, Maeda A, Seita J.:
    "Objective detection of high-risk tackle in rugby by combination of pose estimation and machine learning."
    JSAI 2022: Advances in Artificial Intelligence, April 6, 2023
  • 6. Tanaka K, Kato K, Nonaka N, Seita J.:
    "Efficient HLA imputation from sequential SNPs data by Transformer."
    Machine Learning for Health, New Orleans, Nov 28, 2022
  • 7. Ambrosi TH, Marecic O, McArdle A, Sinha R, Gulati GS, Tong X, Wang Y, Steininger HM, Hoover MY, Koepke LS, Murphy MP, Sokol J, Seo EY, Tevlin R, Lopez M, Brewer RE, Mascharak S, Lu L, Ajanaku O, Conley SD, Seita J, Morri M, Neff NF, Sahoo D, Yang F, Weissman IL, Longaker MT, Chan CKF.:
    "Aged skeletal stem cells generate an inflammatory degenerative niche."
    Nature. 2021 Sep;597(7875):256-262.
  • 8. Koga T, Ema R, Hirose K, Seita J.:
    "Human and GAN collaboration to create haute couture dress."
    Machine Learning for Creativity and Design Workshop at NeurIPS, Vancouver, Dec 9, 2019
  • 9. Koga T, Nonaka N, Sakuma J, Seita J.:
    "General-to-Detailed GAN for Infrequent Class Medical Images."
    Machine Learning for Health Workshop at NeurIPS, Montreal, Dec 8, 2018
  • 10. Chan CKF, Gulati GS, Sinha R, Tompkins JV, Lopez M, Carter AC, Ransom RC, Reinisch A, Wearda T, Murphy M, Brewer RE, Koepke LS, Marecic O, Manjunath A, Seo EY, Leavitt T, Lu WJ, Nguyen A, Conley SD, Salhotra A, Ambrosi TH, Borrelli MR, Siebel T, Chan K, Schallmoser K, Seita J, Sahoo D, Goodnough H, Bishop J, Gardner M, Majeti R, Wan DC, Goodman S, Weissman IL, Chang HY, Longaker MT.:
    "Identification of the Human Skeletal Stem Cell."
    Cell. 2018 Sep 20;175(1)

Related Links

Lab Members

Principal investigator

Jun Seita
Team Director

Core members

Naoki Nonaka
Senior Research Scientist
Yukiko Yanagisawa
Technical Scientist
Akira Maeda
Visiting Scientist
Takashi Yamanashi
Student Trainee
Yuta Hashimoto
Student Trainee
Shunpei Takinami
Research Part-time Worker II
Chiharu Hagiwara
Research Part-time Worker II
Ayaka Ito
Research Part-time Worker II

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor
1-4-1 Nihonbashi Chuo-ku, Tokyo 103-0027, Japan
Email: jun.seita@riken.jp

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