| Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network JH Lee, I Joo, TW Kang, YH Paik, DH Sinn, SY Ha, K Kim, C Choi, G Lee, ... European radiology 30, 1264-1273, 2020 | 97 | 2020 |
| Urinary stone detection on CT images using deep convolutional neural networks: evaluation of model performance and generalization A Parakh, H Lee, JH Lee, BH Eisner, DV Sahani, S Do Radiology: Artificial Intelligence 1 (4), e180066, 2019 | 95 | 2019 |
| Performance of deep learning model in detecting operable lung cancer with chest radiographs MJ Cha, MJ Chung, JH Lee, KS Lee Journal of thoracic imaging 34 (2), 86-91, 2019 | 47 | 2019 |
| Cardiac magnetic resonance-tissue tracking for the early prediction of adverse left ventricular remodeling after ST-segment elevation myocardial infarction MJ Cha, JH Lee, HN Jung, Y Kim, YH Choe, SM Kim The International Journal of Cardiovascular Imaging 35, 2095-2102, 2019 | 26 | 2019 |
| Magnetic resonance findings of hepatic epithelioid hemangioendothelioma: emphasis on hepatobiliary phase using Gd-EOB-DTPA JH Lee, WK Jeong, YK Kim, WJ Lee, SY Ha, KW Kim, J Kim Abdominal Radiology 42, 2261-2271, 2017 | 19 | 2017 |
| Predicting clinical outcome with phenotypic clusters using quantitative CT fibrosis and emphysema features in patients with idiopathic pulmonary fibrosis SH Bak, HY Park, JH Nam, HY Lee, JH Lee, I Sohn, MP Chung PloS one 14 (4), e0215303, 2019 | 12 | 2019 |
| Usefulness of non-contrast MR imaging in distinguishing pancreatic ductal adenocarcinoma from focal pancreatitis JH Lee, JH Min, YK Kim, DI Cha, J Lee, HJ Park, S Ahn Clinical Imaging 55, 132-139, 2019 | 10 | 2019 |
| Comparison of tissue tracking assessment by cardiovascular magnetic resonance for cardiac amyloidosis and hypertrophic cardiomyopathy HN Jung, SM Kim, JH Lee, Y Kim, SC Lee, ES Jeon, HS Yong, YH Choe Acta radiologica 61 (7), 885-893, 2020 | 9 | 2020 |
| Temporal evolution of a chronic expanding organizing hematoma on MRI, including functional MR imaging techniques: a case report J Lee, T Lee, E Oh, YC Yoon Investigative Magnetic Resonance Imaging 21 (1), 43-50, 2017 | 4 | 2017 |
| Interobserver variability and diagnostic performance in predicting malignancy of pancreatic intraductal papillary mucinous neoplasm with MRI SY Choi, JH Min, JH Kim, HJ Park, YY Kim, YE Han, SH Bae, JH Lee, ... Radiology 308 (1), e222463, 2023 | 3 | 2023 |
| Predictive and prognostic factors associated with unliquefied pyogenic liver abscesses E Nham, JH Lee, K Huh, JH Ko, SY Cho, CI Kang, DR Chung, HJ Huh, ... Journal of Microbiology, Immunology and Infection 56 (1), 64-74, 2023 | 2 | 2023 |
| Comparison of noncontrast, dynamic, and hepatobiliary phase abbreviated MRI protocols for detection of hepatic malignancies JH Lee, YK Kim, JH Min, D Cha, JA Hwang, S Ahn Clinical Imaging 101, 206-214, 2023 | 1 | 2023 |
| Magnetic resonance elastography as a preoperative assessment for predicting intrahepatic recurrence in patients with hepatocellular carcinoma JH Lee, JA Hwang, K Gu, J Shin, S Han, YK Kim Magnetic Resonance Imaging 109, 127-133, 2024 | | 2024 |
| Using GPT‐4 for LI‐RADS feature extraction and categorization with multilingual free‐text reports K Gu, JH Lee, J Shin, JA Hwang, JH Min, WK Jeong, MW Lee, KD Song, ... Liver International, 2024 | | 2024 |
| Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features JH Lee, J Shin, JH Min, WK Jeong, H Kim, SY Choi, J Lee, S Hong, K Kim Cancer Imaging 24 (1), 6, 2024 | | 2024 |
| The role of subspecialized radiologist reviews in preoperative conference for hepato-pancreato-biliary disease Y Seo, JH Min, SH Kim, YK Kim, H Kim, DI Cha, JH Lee, JS Heo, IW Han, ... European Journal of Radiology 169, 111183, 2023 | | 2023 |
| Correction: Predicting clinical outcome with phenotypic clusters using quantitative CT fibrosis and emphysema features in patients with idiopathic pulmonary fibrosis SH Bak, HY Park, JH Nam, HY Lee, JH Lee, I Sohn, MP Chung Plos one 14 (6), e0218223, 2019 | | 2019 |
