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JG Nam, SK Kang, H Choi, W Hong, J Park, JM Goo, JS Lee, CM Park
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network
Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural networky
2024 ;97 (1155) :632-639
Taehee Lee, Su Yeon Ahn, Jihang Kim, Jong Sun Park, Byoung Soo Kwon, Sun Mi Choi, Jin Mo Goo, Chang Min Park, and Ju Gang Nam
Deep Learning-Based Survival Prediction in Idiopathic Pulmonary Fibrosis Using Chest Radiographs
European Radiology
2023
Gyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo, and Ju Gang Nam
75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
BMC Medical Imaging
2023
Ju Gang Nam, Yunhee Choi, Sang-Min Lee, Soon Ho Yoon, Jin Mo Goo, Hyungjin Kim
Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis
European Radiology
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
Artificial Intelligence Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial
Radiology
2023
Ju Gang Nam, Hyunsook Hong, Seung Hong Choi, Chang Min Park, Jin Mo Goo, Young Tae Kim, Hyungjin Kim
Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma
Radiology
2022
Ju Gang Nam, Jin Mo Goo
Evaluation and Management of Indeterminate Pulmonary Nodules on Chest Computed Tomography in Asymptomatic Subjects: The Principles of Nodule Guidelines
Seminars in Respiratory and Critical Care Medicine
2022
Ju Gang Nam, Hye-Rin Kang, Sang Min Lee, Hyungjin 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
2022
Ju Gang Nam, Hyunsook Hong, Seung Hong Choi, Chang Min Park, Jin Mo Goo, Young Tae Kim, Hyungjin Kim
No Prognostic Impact of Staging Brain MRI in Patients with Stage IA Non–Small Cell Lung Cancer
Radiology
2022
Ju Gang Nam, Hyun Jin Kim, Eun Hee Lee, Wonju Hong, Jongsoo Park, Eui Jin Hwang, Chang Min Park & Jin Mo Goo
Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial
European Radiology
2022
Ju Gang Nam, Jung Hee Hong, Da Som Kim, Jiseon Oh, Jin Mo Goo
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction
European Radiology
2021
Ju Gang Nam, Chulkyun Ahn, Hyewon Choi, Wonju Hong, Jongsoo Park, Jong Hyo Kim, Jin Mo Goo
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.
European Radiology
2021
Ju Gang Nam, Minchul Kim, Jongchan Park, Eui Jin Hwang, Jong Hyuk Lee, Jung Hee Hong, Jin Mo Goo, Chang Min Park
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
European Respiratory Journal
2021
Ju Gang Nam, Whal Lee, Baren Jeong, Eun-Ah Park, Ji Yeon Lim, Yujin 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
2021
Ju Gang Nam, Joseph Nathanael Witanto, Sang Joon Park, Seung Jin Yoo, Jin Mo Goo, Soon Ho Yoon
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel.
European Radiology
2021
Ju Gang Nam, Jinwook Kim, Keonwoo Noh, Hyewon Choi, Da Som Kim, Seung-Jin Yoo, Hyun-Lim Yang, Eui Jin Hwang, Jin Mo Goo, Eun-Ah Park, Hye Young Sun, Min-Soo Kim, Chang Min Park
Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network
European Radiology
2021
Ju Gang Nam, Eui Jin Hwang, Da Som Kim, Seung-Jin Yoo, Hyewon 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
2020
Ju Gang Nam, Jin Mo Goo, Chang Min Park, Hyun‐Ju Lee, Chang Hyun Lee, Soon Ho Yoon
Age‐ and gender‐specific disease distribution and the diagnostic accuracy of CT for resected anterior mediastinal lesions
Thoracic Cancer
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
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
2019
Ju Gang Nam, Jeong Min Lee, Ijin Joo, Su Joa Ahn, Jin Young Park, Kyoung Bun Lee, Joon Koo Han
Intrahepatic Mass-Forming Cholangiocarcinoma: Relationship Between Computed Tomography Characteristics and Histological Subtypes
Journal of Computer Assisted Tomography
2018
Ju Gang Nam, Jeong Min Lee, Hyo-Jin Kang, Sang Min Lee, Eunju Kim, Johannes M Peeters, Jeong Hee Yoon
GRASE Revisited: Breath-hold Three-dimensional (3D) Magnetic Resonance Cholangiopancreatography using a Gradient and Spin Echo (GRASE) Technique at 3T
European Radiology
2018
JG Nam, KM Kang, SH Choi, WH Lim, R-E Yoo, J-H Kim, TJ Yun, C-H 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
American Journal of Neuroradiology
2017
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