Hideaki Hayashi
News
[July 3, 2024] We have presented our paper at IEEE WCCI 2024 (arXiv).
[June 28, 2024] Our paper has been accepted by Medical Image Analysis.
[June 4, 2024] Our paper has been accepted to ICANN 2024.
[May 28, 2024] We have presented our paper at IEEE FG 2024 (arXiv).
[Feb 29, 2024] Our research proposal for Grant-in-Aid for Scientific Research (B) has been accepted.
[Feb 6, 2024] My (single-authored) paper has been accepted by IEEE Trans. on Neural Networks and Learning Systems (link).
[Jan 6, 2024] We have presented our paper at WACV 2024 (link)
Research Interests
Biosignal analysis
Biosignal analysis using probabilistic models [IEEE TBME 2017] [IEEE TBME 2019]
Biosignal classification and its application to human–machine interfaces [PLOS ONE 2017]
Cardiotocography analysis
Neural networks
Neural network based on stochastic models [IEEE TNNLS 2015] [IEEE Access 2021]
Trainable multiplication layer [ACCV 2018]
Probabilistic models
Probabilistic generative models [IEEE TNNLS 2024]
Sparse Bayesian learning [ICLR 2021]
Image analysis
Font image generation using Generative adversarial networks (GANs) [KNOSYS 2019]
MRI generation using GANs and its application to data augmentation [ISBI 2018]
Endoscopic image analysis [MICCAI 2021]
Ultrasound image analysis
Biography
1989 Born in Hiroshima city, Japan
2012 Received B.E. degree from Hiroshima University
2014 Received M.E. degree from Hiroshima University
2015 Research Fellow of the Japan Society for the Promotion of Science（DC2)
2016 Received Ph.D. in Eng. degree from Hiroshima University
2016 Research Fellow of the Japan Society for the Promotion of Science（PD)
2017 Assistant Professor, Faculty of Information Science and Electrical Engineering, Kyushu University
2022 Associate Professor, Institute for Datability Science, Osaka University
Contact
Institute for Datability Science, Osaka University.
2-8 Yamadaoka, Suita, Osaka, 565-0871, JAPAN
Tel: +81-6-6105-6069
E-mail: hayashi[at]ids.osaka-u.ac.jp