Ju Gang Nam (J G Nam)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Randomized Controlled Trial

Convolutional Neural Network

Computed Tomography

Top Venues

The British journal of radiology

Korean journal of radiology

European radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Ju Gang Nam, Seung Kwan Kang, Hyewon Choi, Wonju Hong, Jongsoo Park, Jin Mo Goo, Jae Sung Lee, Chang Min Park
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network. The British journal of radiology 97 (1155) (2024)
Ju Gang Nam, Seung Kwan Kang, Hyewon Choi, Wonju Hong, Jongsoo Park, Jin Mo Goo, Jae Sung Lee, Chang Min Park
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network. The British journal of radiology 97 (1155) (2024)
Ju Gang Nam, Seung Kwan Kang, Hyewon Choi, Wonju Hong, Jongsoo Park, Jin Mo Goo, Jae Sung Lee, Chang Min Park
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network. The British journal of radiology 97 (1155) (2024)
Ju Gang Nam, Seung Kwan Kang, Hyewon Choi, Wonju Hong, Jongsoo Park, Jin Mo Goo, Jae Sung Lee, Chang Min Park
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network. The British journal of radiology 97 (1155) (2024)
Taehee Lee, Su Yeon Ahn, Jihang Kim, Jong Sun Park, Byoung Soo Kwon, Sun Mi Choi, Jin Mo Goo, Chang Min Park, Ju Gang Nam
Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs. European radiology 34 (7) (2023)
Taehee Lee, Su Yeon Ahn, Jihang Kim, Jong Sun Park, Byoung Soo Kwon, Sun Mi Choi, Jin Mo Goo, Chang Min Park, Ju Gang Nam
Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs. European radiology 34 (7) (2023)
Ju Gang Nam, Eui Jin Hwang, Jayoun Kim, Nanhee Park, Eun Hee Lee, Hyun Jin Kim, Miyeon Nam, Jong Hyuk Lee, Chang Min Park, Jin Mo Goo
AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial. Radiology (2023)
Taehee Lee, Su Yeon Ahn, Jihang Kim, Jong Sun Park, Byoung Soo Kwon, Sun Mi Choi, Jin Mo Goo, Chang Min Park, Ju Gang Nam
Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs. European radiology (2023)
Ju Gang Nam, Samina Park, Chang Min Park, Yoon Kyung Jeon, Doo Hyun Chung, Jin Mo Goo, Young Tae Kim, Hyung Jin Kim
Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma. Radiology 305 (2) (2022)
Ju Gang Nam, Hyunsook Hong, Seung Hong Choi, Chang Min Park, Jin Mo Goo, Young Tae Kim, Hyung Jin Kim
No Prognostic Impact of Staging Brain MRI in Patients with Stage IA Non-Small Cell Lung Cancer. Radiology 303 (3) (2022)
Ju Gang Nam, Hye-Rin Kang, Sang Min Lee, Hyung Jin Kim, Chanyoung Rhee, Jin Mo Goo, Yeon-Mok Oh, Chang-Hoon Lee, Chang Min Park
Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs. Radiology 305 (1) (2022)
Hye Won Choi, Xiaolong Qi, Soon-Ho Yoon, Sang Joon Park, Kyung Hee Lee, Jin Yong Kim, Young Kyung Lee, Hongseok Ko, Ki Hwan Kim, Chang Min Park, Yun Hyeon Kim, Junqiang Lei, Jung Hee Hong, Hyung Jin Kim, Eui Jin Hwang, Seung-Jin Yoo, Ju Gang Nam, Chang Hyun Lee, Jin Mo Goo
Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation. Radiology. Cardiothoracic imaging 2 (2) (2020)
Jong Hyuk Lee, Woo Hyeon Lim, Jung Hee Hong, Ju Gang Nam, Eui Jin Hwang, Hyung Jin Kim, Jin Mo Goo, Chang Min Park
Growth and Clinical Impact of 6-mm or Larger Subsolid Nodules after 5 Years of Stability at Chest CT. Radiology 295 (2) (2020)
Ju Gang Nam, Whal Lee, Baren Jeong, Eun Ah Park, Ji Yeon Lim, Yu Jin Kwak, Hong Gook Lim
Three-Dimensional Printing of Congenital Heart Disease Models for Cardiac Surgery Simulation: Evaluation of Surgical Skill Improvement among Inexperienced Cardiothoracic Surgeons. Korean journal of radiology 22 (5) (2020)
Ju Gang Nam, Eui Jin Hwang, Da Som Kim, Seung-Jin Yoo, Hye Won Choi, Jin Mo Goo, Chang Min Park
Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning-based Detection Algorithm. Radiology. Cardiothoracic imaging 2 (6) (2020)
Sang Hyup Lee, Soon-Ho Yoon, Ju Gang Nam, Hyung Jin Kim, Su Yeon Ahn, Hee Kyung Kim, Hyun Ju Lee, Hwan Hee Lee, Gi Jeong Cheon, Jin Mo Goo
Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography. Korean journal of radiology 20 (4) (2020)
Eui Jin Hwang, Ju Gang Nam, Woo Hyeon Lim, Sae Jin Park, Yun Soo Jeong, Ji Hee Kang, Eun Kyoung Hong, Taek Min Kim, Jin Mo Goo, Sunggyun Park, Ki Hwan Kim, Chang Min Park
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department. Radiology 293 (3) (2019)
Ju Gang Nam, Jeong Min Lee, Sang Min Lee, Hyo Jin Kang, Eun Sun Lee, Bo Yun Hur, Jeong Hee Yoon, EunJu Kim, Mariya Doneva
High Acceleration Three-Dimensional T1-Weighted Dual Echo Dixon Hepatobiliary Phase Imaging Using Compressed Sensing-Sensitivity Encoding: Comparison of Image Quality and Solid Lesion Detectability with the Standard T1-Weighted Sequence. Korean journal of radiology 20 (3) (2019)
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, Jong Hyuk Lee, Kwang-Nam Jin, Kun Young Lim, Thienkai Huy Vu, Jae Ho Sohn, Sangheum Hwang, Jin Mo Goo, Chang Min Park
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs. Radiology 290 (1) (2018)
Koung Mi Kang, Chul-Ho Sohn, Sung-Hye You, Ju Gang Nam, Seung Hong Choi, Tae Jin Yun, Roh-Eul Yoo, Ji Hoon Kim
Added Value of Arterial Spin-Labeling MR Imaging for the Differentiation of Cerebellar Hemangioblastoma from Metastasis. AJNR. American journal of neuroradiology 38 (11) (2017)
Ju Gang Nam, Koung Mi Kang, Seung Hong Choi, Seung Hong Choi, Roh-Eul Yoo, Ji Hoon Kim, Tae Jin Yun, Chul-Ho Sohn
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 in Glioblastoma Treated with Concurrent Radiation Therapy and Temozolomide Chemotherapy. AJNR. American journal of neuroradiology 38 (12) (2017)