RIKEN Center for Integrative Medical Sciences Medical Data Deep Learning Team
Team Director: Jun Seita (M.D., Ph.D.)
Research Summary

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