Ju Gang Nam

Endowed Assistant Professor of Digital Healthcare

Ju Gang Nam 기금조교수

위치Rm 1110, Ji Seok-Young Biomedical Research Institute, Seoul National University Bundang Hospital

연락처031-787-7609

이메일dyuing89@snu.ac.kr

학위Ph.D. in Department of Medicine, Seoul National University College of Medicine

분야Thoracic Imaging and Interventional Radiology

Education

– Ph.D., Department of Medicine, Seoul National University College of Medicine, Seoul, Korea (2021): Medicine
– M.S., Department of Medicine, Seoul National University College of Medicine, Seoul, Korea (2018): Medicine
– B.S., Department of Medicine, Seoul National University College of Medicine, Seoul, Korea (2014): Medicine
– B.S., Department of Pre-Medicine, College of Natural Sciences, Seoul National University, Seoul, Korea (2010): Pre-Medicine

Professional Experience

– Assistant Professor, Department of Radiology (Thoracic Division), Seoul National University Bundang Hospital, Seoul, Korea (2024–present)
– Clinical Assistant/Associate Professor, Department of Radiology (Thoracic Division), Seoul National University Hospital, Seoul, Korea (2020–2024)
– Clinical Fellow, Department of Radiology (Thoracic Division), Seoul National University Hospital, Seoul, Korea (2019–2020)
– Resident, Department of Radiology (Thoracic Division), Seoul National University Hospital, Seoul, Korea (2015–2019)
– Intern, Seoul National University Hospital, Seoul, Korea (2014–2015)

Honors and Awards (Selected)

– 2025 Director of Education, Korean Society of Artificial Intelligence in Medicine (KoSAIM)
– 2024 Director of Education, Korean Society of Imaging Informatics in Medicine (KSIIM)
– 2024 Acuzen Young Investigator Award, Korean Society of Radiology
– 2024 Myung Joo Wan Medical Award, Seoul National University Hospital
– 2023 Grand Prize for Scientific Achievement, Korean Society of Radiology
– 2023 Young Investigator Award, Seoul National University Hospital
– 2023 Jejung Excellent Paper Award, Seoul National University Hospital
– 2022 Minister of Health and Welfare Commendation (Outstanding Young Researcher Category), Ministry of Health and Welfare, Republic of Korea
– 2022 Publication Award, Korean Society of Thoracic Radiology

Recent Research Achievements

– Nam JG, Kang SK, Choi H, Hong W, Park J, Goo JM, Lee JS, Park CM. Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network. European Radiology. 2024;97(1155):632–639
– Lee T, Ahn SY, Kim J, Park JS, Kwon BS, Choi SM, Goo JM, Park CM, Nam JG. Deep learning-based survival prediction in idiopathic pulmonary fibrosis using chest radiographs. European Radiology. 2023
– Jo GD, Ahn C, Hong JH, Kim DS, Park J, Kim H, Kim JH, Goo JM, Nam JG. 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT. BMC Medical Imaging. 2023
– Nam JG, Choi Y, Lee SM, Yoon SH, Goo JM, Kim H. Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis. European Radiology. 2023
– Nam JG, Hwang EJ, Kim J, Park N, Lee EH, Kim HJ, Nam M, Lee JH, Park CM, Goo JM. Artificial intelligence improves nodule detection on chest radiographs in a health screening population: a randomized controlled trial. Radiology. 2023
– Nam JG, Hong H, Choi SH, Park CM, Goo JM, Kim YT, Kim H. Histopathologic basis for a chest CT deep learning survival prediction model in patients with lung adenocarcinoma. Radiology. 2022