| 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 | 564 | 2019 |
| Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs EJ Hwang, S Park, KN Jin, J Im Kim, SY Choi, JH Lee, JM Goo, J Aum, ... JAMA network open 2 (3), e191095-e191095, 2019 | 404 | 2019 |
| Development and validation of a deep learning–based automatic detection algorithm for active pulmonary tuberculosis on chest radiographs EJ Hwang, S Park, KN Jin, JI Kim, SY Choi, JH Lee, JM Goo, J Aum, ... Clinical infectious diseases 69 (5), 739-747, 2019 | 217 | 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 | 159 | 2019 |
| Impact of reconstruction algorithms on CT radiomic features of pulmonary tumors: analysis of intra-and inter-reader variability and inter-reconstruction algorithm variability H Kim, CM Park, M Lee, SJ Park, YS Song, JH Lee, EJ Hwang, JM Goo PloS one 11 (10), e0164924, 2016 | 159 | 2016 |
| 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 | 95 | 2021 |
| Pulmonary adenocarcinomas appearing as part-solid ground-glass nodules: is measuring solid component size a better prognostic indicator? EJ Hwang, CM Park, Y Ryu, SM Lee, YT Kim, YW Kim, JM Goo European radiology 25, 558-567, 2015 | 91 | 2015 |
| Performance of a deep learning algorithm compared with radiologic interpretation for lung cancer detection on chest radiographs in a health screening population JH Lee, HY Sun, S Park, H Kim, EJ Hwang, JM Goo, CM Park Radiology 297 (3), 687-696, 2020 | 73 | 2020 |
| 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 | 68 | 2023 |
| Usefulness of a metal artifact reduction algorithm for orthopedic implants in abdominal CT: phantom and clinical study results S Jeong, SH Kim, EJ Hwang, C Shin, JK Han, BI Choi American Journal of Roentgenology 204 (2), 307-317, 2015 | 68 | 2015 |
| Clinical implementation of deep learning in thoracic radiology: potential applications and challenges EJ Hwang, CM Park Korean journal of radiology 21 (5), 511, 2020 | 67 | 2020 |
| Intravoxel incoherent motion diffusion-weighted imaging of pancreatic neuroendocrine tumors: prediction of the histologic grade using pure diffusion coefficient and tumor size EJ Hwang, JM Lee, JH Yoon, JH Kim, JK Han, BI Choi, KB Lee, JY Jang, ... Investigative radiology 49 (6), 396-402, 2014 | 66 | 2014 |
| Predictive CT features of visceral pleural invasion by T1-sized peripheral pulmonary adenocarcinomas manifesting as subsolid nodules SY Ahn, CM Park, YK Jeon, H Kim, JH Lee, EJ Hwang, JM Goo American Journal of Roentgenology 209 (3), 561-566, 2017 | 61 | 2017 |
| Implementation of a deep learning-based computer-aided detection system for the interpretation of chest radiographs in patients suspected for COVID-19 EJ Hwang, H Kim, SH Yoon, JM Goo, CM Park Korean journal of radiology 21 (10), 1150, 2020 | 54 | 2020 |
| 2020 clinical practice guideline for percutaneous transthoracic needle biopsy of pulmonary lesions: a consensus statement and recommendations of the Korean Society of Thoracic … SH Yoon, SM Lee, CH Park, JH Lee, H Kim, KJ Chae, KN Jin, KH Lee, ... Korean Journal of Radiology 22 (2), 263, 2020 | 50 | 2020 |
| Time-dependent analysis of incidence, risk factors and clinical significance of pneumothorax after percutaneous lung biopsy WH Lim, CM Park, SH Yoon, HJ Lim, EJ Hwang, JH Lee, JM Goo European radiology 28, 1328-1337, 2018 | 48 | 2018 |
| Use of artificial intelligence-based software as medical devices for chest radiography: a position paper from the Korean Society of Thoracic Radiology EJ Hwang, JM Goo, SH Yoon, KS Beck, JB Seo, BW Choi, MJ Chung, ... Korean Journal of Radiology 22 (11), 1743, 2021 | 40 | 2021 |
| 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 | 40 | 2021 |
| Deep learning for detecting pneumothorax on chest radiographs after needle biopsy: clinical implementation W Hong, EJ Hwang, JH Lee, J Park, JM Goo, CM Park Radiology 303 (2), 433-441, 2022 | 39 | 2022 |
Chang-Min ParkProfessor, Seoul National University College of MedicineE-mail megerősítve itt: snu.ac.kr