Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. - Eiichiro Uchino; Kanata Suzuki; Noriaki Sato; Ryosuke Kojima; Yoshinori Tamada; Shusuke Hiragi; Hideki Yokoi; Nobuhiro Yugami; Sachiko Minamiguchi; Hironori Haga; Motoko Yanagita; Yasushi Okuno (Int. J. Medical Informatics, 2020)

Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data. - Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Shusuke Hiragi; Motoko Yanagita; Yasushi Okuno (Comput. Methods Programs Biomed., 2021)

A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. - Aya Nakamura; Ryosuke Kojima; Yuji Okamoto; Eiichiro Uchino; Yohei Mineharu; Yohei Harada; Mayumi Kamada; Manabu Muto; Motoko Yanagita; Yasushi Okuno (CoRR, 2023)