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Ju Gang Nam
Ju Gang Nam
Seoul National University Hostpital
Verified email at snu.ac.kr
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Cited by
Year
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
4862019
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
1292020
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
1292019
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
732021
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
452018
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
442021
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, 2019
382019
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
342021
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
342020
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
322021
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
302020
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
292023
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
242017
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
202021
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
192019
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
182018
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
172022
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
172020
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, 2019
172019
Value of virtual monochromatic spectral image of dual-layer spectral detector CT with noise reduction algorithm for image quality improvement in obese simulated body phantom
HJ Kang, JM Lee, SM Lee, HK Yang, RH Kim, JG Nam, A Karnawat, ...
BMC Medical Imaging 19, 1-11, 2019
162019
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