EVCMR: a tool for the quantitative evaluation and visualization of cardiac MRI data YC Kim, KR Kim, K Choi, M Kim, Y Chung, YH Choe Computers in Biology and Medicine 111, 103334, 2019 | 16 | 2019 |
Automatic localization of anatomical landmarks in cardiac MR perfusion using random forests YC Kim, Y Chung, YH Choe Biomedical Signal Processing and Control 38, 370-378, 2017 | 13 | 2017 |
Utilizing synthetic nodules for improving nodule detection in chest radiographs M Chung, ST Kong, B Park, Y Chung, KH Jung, JB Seo Journal of Digital Imaging 35 (4), 1061-1068, 2022 | 6 | 2022 |
Domain Gap Embeddings for Generative Dataset Augmentation YO Wang, Y Chung, CH Wu, F De la Torre Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
Method to read chest image B Park, M Chung, ST Kong, Y Chung US Patent App. 18/896,442, 2025 | | 2025 |
Method to read chest image B Park, M Chung, ST Kong, Y Chung US Patent 12,125,197, 2024 | | 2024 |
Deep learning for classification of late gadolinium enhancement lesions based on the 16-segment left ventricular model YC Kim, Y Chung, YH Choe Physica Medica 117, 103193, 2024 | | 2024 |
Method for detecting abnormal findings and generating interpretation text of medical image M Chung, B Park, ST Kong, Y Chung US Patent App. 17/471,001, 2022 | | 2022 |