Eiichiro Uchino

According to our database, Eiichiro Uchino authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency.

Nanae Aratake, Taisei Tosaki, Yuji Okamoto, Eiichiro Uchino, Masaki Nakamura, Nobutomo Matsui, Akiko Hatakama, Yasushi Okuno

CoRR, April, 2026

2025

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation.

Isao Matsui, Ayumi Matsumoto, Atsuhiro Imai, Hiroki Okushima, Hirohiko Niioka, Masatoshi Abe, Natsune Tamai, Hajime Nagasu, Eiichiro Kanda, Eiichiro Uchino, Tadashi Sofue, Toshiyuki Imasawa, Yuichiro Yano, Hiroshi Kinashi, Ken-ichi Miyoshi, Tamaki Harada, Yasuyuki Nagasawa, Keiji Fujimoto, Yuka Kurokawa, Sawako Kato, Ryohei Kaseda, Masahiro Koizumi, Yasuo Kusunoki, Masaki Ohya, Yoshimasa Kawazoe, Hiroyuki Abe, Yuta Matsukuma, Takaaki Kosugi, Yoshiyasu Ueda, Naohiko Fujii, Masanobu Takeji, Akira Suzuki, Katsuyuki Nagatoya, Kazumasa Oka, Yutaka Ando, Masaaki Izumi, Toshiyuki Komiya, Tatsuo Tsukamoto, Imari Mimura, Takahiro Kuragano, Toshiaki Nakano, Kazuhiko Tsuruya, Yasuhiko Ito, Tetsuo Minamino, Osamu Yamaguchi, Suguru Yamamoto, Hirotaka Komaba, Kengo Furuichi, Kei Fukami, Shin-ichi Araki, Takao Masaki, Naotake Tsuboi, Hitoshi Yokoyama, Akira Shimizu, Tetsuo Ushiku, Shoichi Maruyama, Motoko Yanagita, Masaomi Nangaku, Ryohei Yamamoto, Kazunori Inoue, Yoshitaka Isaka

npj Digit. Medicine, 2025

2024

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction.

Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

CoRR, 2024

Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku.

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Individual health-disease phase diagrams for disease prevention based on machine learning.

Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno

J. Biomed. Informatics, August, 2023

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

2021

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

2020

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

Health improvement framework for planning actionable treatment process using surrogate Bayesian model.

Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno

CoRR, 2020