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eess.IV2022★ 1 cited
Aging prediction using deep generative model toward the development of preventive medicine
Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura +2
From birth to death, we all experience surprisingly ubiquitous changes over time due to aging. If we can predict aging in the digital domain, that is, the digital twin of the human…
eess.IV2020★ 2 cited
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting
H. Shibata, S. Hanaoka, Y. Nomura +5
Oversight in medical images is a crucial problem, and timely reporting of medical images is desired. Therefore, an all-purpose anomaly detection method that can detect virtually al…