Hideaki Hayashi
- 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 network based on stochastic models [IEEE TNNLS 2015] [IEEE Access 2021]
- Trainable multiplication layer [ACCV 2018]
- Probabilistic generative models
- Sparse Bayesian learning [ICLR 2021]
- 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 [MIT 2019] [MICCAI 2021]
- Ultrasound image analysis
Dr. Eng.
I got a new position at Institute for Datability Science, Osaka University.
New web page
Research Interests
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[Biosignal analysis]
Publications
Brief Biography
| 1989 | Born in Hiroshima city, Japan. |
| 2012 | Received B.E. degree from Hirshima University. |
| 2014 | Received M.E. degree from Hirshima University. |
| 2015 | Research Fellow of the Japan Society for the Promotion of Science（DC2) |
| 2016 | Received Dr.Eng. degree from Hirshima University. |
| 2016 | Research Fellow of the Japan Society for the Promotion of Science（PD) |
| 2017 | Assistant Professor of Faculty of Information Science and Electrical Engineering, Kyushu University. |
Contact
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Human Interface Laboratory,
Department of Advanced Information Technology, Kyushu University.
744, Motooka, Nishi-ku, Fukuoka-shi, 819-0395 JAPAN
E-mail: hayashi[_at_]ait.kyushu-u.ac.jp