Using a dual-input convolutional neural network for automated detection of pediatric supracondylar fracture on conventional radiography JW Choi, YJ Cho, S Lee, J Lee, S Lee, YH Choi, JE Cheon, JY Ha Investigative radiology 55 (2), 101-110, 2020 | 80 | 2020 |
Deep learning to determine the activity of pulmonary tuberculosis on chest radiographs S Lee, JJ Yim, N Kwak, YJ Lee, JK Lee, JY Lee, JS Kim, YA Kang, D Jeon, ... Radiology 301 (2), 435-442, 2021 | 32 | 2021 |
CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images S Lee, J Youn, H Kim, M Kim, SH Yoon European Radiology, 1-13, 2025 | 18 | 2025 |
Percutaneous bronchial embolization to treat intractable bronchobiliary fistula S Lee, JH Lee, HB Kim, IJ Lee CardioVascular and Interventional Radiology 42, 784-786, 2019 | 5 | 2019 |
Post-treatment Radiographic Severity and Mortality in Mycobacterium avium Complex Pulmonary Disease JY Kim, S Lee, H Park, HJ Kim, HW Lee, JH Lee, JJ Yim, N Kwak, ... Annals of the American Thoracic Society 21 (2), 235-242, 2024 | 4 | 2024 |
Deep learning-based prediction model using radiography in nontuberculous mycobacterial pulmonary disease S Lee, HW Lee, HJ Kim, DK Kim, JJ Yim, SH Yoon, N Kwak Chest 162 (5), 995-1005, 2022 | 4 | 2022 |