Kawazoe Y, Shimamoto K, Yamaguchi R, Nakamura I, Yoneda K, Shinohara E, Shintani-Domoto Y, Ushiku T, Tsukamoto T, Ohe K. Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy. Diagnostics. 2022; 12(12):2955.
Kawazoe Y, Shimamoto K, Shibata D, Shinohara E, Kawaguchi H, Yamamoto T. Impact of a Clinical Text–Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation. JMIR Med Inform 2022;10(7):e37913
Hayakawa J, Seki T, Kawazoe Y, Ohe K. Pathway importance by graph convolutional network and Shapley additive explanations in gene expression phenotype of diffuse large B-cell lymphoma. PLoS One. 2022 Jun 24;17(6):e0269570.
Seki T, Kawazoe Y, Ohe K. Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data. PLoS ONE. 2021;16(2): e0246640.
Ma X, Imai T, Shinohara E, Kasai S, Kato K, Kagawa R, Ohe K. EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders – chronic kidney disease example. J Biomed Inform. 2021 Mar;115:103692.
Aoki M, Yokota S, Kagawa R, Shinohara E, Imai T, Ohe K. Automatic Coding Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing. CIN: Computers, Informatics, Nursing. (in press).
Yamaguchi R, Kawazoe Y, Shimamoto K, Emiko Shinohara, Tatsuo Tsukamoto, Yukako Shintani-Domoto, Hajime Nagasu, Hiroshi Uozaki, Tetsuo Ushiku, Masaomi Nangaku, Naoki Kashihara, Akira Shimizu, Michio Nagata, Kazuhiko Ohe. Glomerular classification using convolutional neural networks based on defined annotation criteria and concordance evaluation among clinicians. Kidney Int Rep. 2020 Dec 13;6(3):716-726.
Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo. Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. AAAI Workshop on Artificial Intelligence, February 7-8, 2020, New York, USA. https://arxiv.org/abs/2004.13846
Hayakawa M, Imai T, Kawazoe Y, Kozaki K, Ohe K. Auto-Generated Physiological Chain Data for an Ontological Framework for Pharmacology and Mechanism of Action to Determine Suspected Drugs in Cases of Dysuria. Drug Safety. 2019,42:1055–1069.
Kawazoe Y, Shimamoto K, Yamaguchi R, Shintani-Domoto Y, Uozaki H, Fukayama M, Ohe K. Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images. Journal of Imaging. 2018; 4(7):91.
A. R. A. Ghani, K. Nishanth, Ai Nakajima, N. Kimura, P. Radkohl, S. Iwai, Y. Kawazoe, Y. Iwasawa, K. Nakayama, Y. Matsuo: An analysis of human gaze data for autonomous medical image diagnostics, The 28th Annual Conference of the Japanese Neural Network Society (JNNS), Workshop, 2018.
Satoshi Iwai, Emiko Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe, Listing differential diagnoses from symptoms of patients with vertigo using knowledge graph, APAMI2018, Colombo, Sri Lanka, October 2018.
Rina Kagawa, Yoshimasa Kawazoe, Emiko Shinohara, Takeshi Imai, Kazuhiko Ohe. The impact of “possible patients” on phenotyping algorithms: Electronic phenotype algorithms can only be reproduced by sharing detailed annotation criteria. Stud Health Technol Inform. 245, pp.432-436, 2017.