| Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs JG Nam, S Park, EJ Hwang, JH Lee, KN Jin, KY Lim, TH Vu, JH Sohn, ... Radiology 290 (1), 218-228, 2019 | 509 | 2019 |
| Deep learning for chest radiograph diagnosis in the emergency department EJ Hwang, JG Nam, WH Lim, SJ Park, YS Jeong, JH Kang, EK Hong, ... Radiology 293 (3), 573-580, 2019 | 140 | 2019 |
| Extension of coronavirus disease 2019 on chest CT and implications for chest radiographic interpretation H Choi, X Qi, SH Yoon, SJ Park, KH Lee, JY Kim, YK Lee, H Ko, KH Kim, ... Radiology: Cardiothoracic Imaging 2 (2), e200107, 2020 | 130 | 2020 |
| Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs JG Nam, M Kim, J Park, EJ Hwang, JH Lee, JH Hong, JM Goo, CM Park European Respiratory Journal 57 (5), 2021 | 77 | 2021 |
| Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction JG Nam, JH Hong, DS Kim, J Oh, JM Goo European Radiology 31, 5533-5543, 2021 | 46 | 2021 |
| GRASE Revisited: breath-hold three-dimensional (3D) magnetic resonance cholangiopancreatography using a Gradient and Spin Echo (GRASE) technique at 3T JG Nam, JM Lee, HJ Kang, SM Lee, E Kim, JM Peeters, JH Yoon European radiology 28, 3721-3728, 2018 | 46 | 2018 |
| High acceleration three-dimensional T1-weighted dual echo Dixon hepatobiliary phase imaging using compressed sensing-sensitivity encoding: comparison of image quality and solid … JG Nam, JM Lee, SM Lee, HJ Kang, ES Lee, BY Hur, JH Yoon, EJ Kim, ... Korean journal of radiology 20 (3), 438-448, 2019 | 42 | 2019 |
| Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques JG Nam, C Ahn, H Choi, W Hong, J Park, JH Kim, JM Goo European Radiology 31, 5139-5147, 2021 | 39 | 2021 |
| AI improves nodule detection on chest radiographs in a health screening population: a randomized controlled trial JG Nam, EJ Hwang, J Kim, N Park, EH Lee, HJ Kim, M Nam, JH Lee, ... Radiology 307 (2), e221894, 2023 | 36 | 2023 |
| COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system EJ Hwang, KB Kim, JY Kim, JK Lim, JG Nam, H Choi, H Kim, SH Yoon, ... PLoS One 16 (6), e0252440, 2021 | 36 | 2021 |
| Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study EJ Hwang, JH Hong, KH Lee, JI Kim, JG Nam, DS Kim, H Choi, SJ Yoo, ... European radiology 30, 3660-3671, 2020 | 35 | 2020 |
| Growth and clinical impact of 6-mm or larger subsolid nodules after 5 years of stability at chest CT JH Lee, WH Lim, JH Hong, JG Nam, EJ Hwang, H Kim, JM Goo, CM Park Radiology 295 (2), 448-455, 2020 | 32 | 2020 |
| Comparison between the prebolus T1 measurement and the fixed T1 value in dynamic contrast-enhanced MR imaging for the differentiation of true progression from pseudoprogression … JG Nam, KM Kang, SH Choi, WH Lim, RE Yoo, JH Kim, TJ Yun, CH Sohn American Journal of Neuroradiology 38 (12), 2243-2250, 2017 | 25 | 2017 |
| Deep learning prediction of survival in patients with chronic obstructive pulmonary disease using chest radiographs JG Nam, HR Kang, SM Lee, H Kim, C Rhee, JM Goo, YM Oh, CH Lee, ... Radiology 305 (1), 199-208, 2022 | 23 | 2022 |
| Three-dimensional printing of congenital heart disease models for cardiac surgery simulation: evaluation of surgical skill improvement among inexperienced cardiothoracic surgeons JG Nam, W Lee, B Jeong, EA Park, JY Lim, Y Kwak, HG Lim Korean Journal of Radiology 22 (5), 706, 2021 | 20 | 2021 |
| Age‐and gender‐specific disease distribution and the diagnostic accuracy of CT for resected anterior mediastinal lesions JG Nam, JM Goo, CM Park, HJ Lee, CH Lee, SH Yoon Thoracic cancer 10 (6), 1378-1387, 2019 | 19 | 2019 |
| Intrahepatic mass-forming cholangiocarcinoma: relationship between computed tomography characteristics and histological subtypes JG Nam, JM Lee, I Joo, SJ Ahn, JY Park, KB Lee, JK Han Journal of computer assisted tomography 42 (3), 340-349, 2018 | 19 | 2018 |
| Histopathologic basis for a chest CT deep learning survival prediction model in patients with lung adenocarcinoma JG Nam, S Park, CM Park, YK Jeon, DH Chung, JM Goo, YT Kim, H Kim Radiology 305 (2), 441-451, 2022 | 18 | 2022 |
| Undetected lung cancer at posteroanterior chest radiography: potential role of a deep learning–based detection algorithm JG Nam, EJ Hwang, DS Kim, SJ Yoo, H Choi, JM Goo, CM Park Radiology: Cardiothoracic Imaging 2 (6), e190222, 2020 | 18 | 2020 |
| Distinguishing between thymic epithelial tumors and benign cysts via computed tomography SH Lee, SH Yoon, JG Nam, HJ Kim, SY Ahn, HK Kim, HJ Lee, HH Lee, ... Korean Journal of Radiology 20 (4), 671-682, 2019 | 18 | 2019 |
