Eun Kyung Choe

According to our database, Eun Kyung Choe authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Virtual Reality Health Screening Questionnaire: An Exploratory Comparison with Tablet-Based Questionnaire.

Kwangtai Kim, Yejin Yoon, Punyotai Thamjamrassri, Youngbin Kong, Yeonjin Choi, Eun Kyung Choe, Hyoun-Joong Kong

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

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

Association of Multiple-trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean Population.

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

Genom. Proteom. Bioinform., 2025

2024

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., September, 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

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease.

So Yeon Kim, Sehee Wang, Eun Kyung Choe

CoRR, 2024

2023

Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans.

Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2021

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

2020

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