Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan. - Sangwoo Lee; Eun Kyung Choe; So Yeon Kim; Hua Sun Kim; Kyu Joo Park; Dokyoon Kim (BMC Bioinform., 2020)

Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. - So Yeon Kim; Eun Kyung Choe; Manu K. Shivakumar; Dokyoon Kim; Kyung-Ah Sohn (Bioinform., 2021)

Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. - Jacob S. Leiby; Matthew E. Lee; Eun Kyung Choe; Dokyoon Kim (MLMI@MICCAI (2), 2023)

Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores. - Jinyeon Jo; Nayoung Ha; Yunmi Ji; Ahra Do; Je Hyun Seo; Bumjo Oh; Sungkyoung Choi; Eun Kyung Choe; Woojoo Lee; Jang Won Son; Sungho Won (Briefings Bioinform., 2024)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease. - So Yeon Kim; Sehee Wang; Eun Kyung Choe (CoRR, 2024)

A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks. - Boa Jang; Youngbin Ahn; Eun Kyung Choe; Chang Ki Yoon; Hyuk Jin Choi; Young-Gon Kim (CoRR, 2024)

Vision transformer based interpretable metabolic syndrome classification using retinal Images. - Tae Kwan Lee; So Yeon Kim; Hyuk Jin Choi; Eun Kyung Choe; Kyung-Ah Sohn (npj Digit. Medicine, 2025)