Professors

Education and Training

2004.3 ~ 2008.2   B.S.in Electrical Engineering(Magna Cum Laude)
    Department of Electrical and Computer Engineering,
    Seoul National University, Seoul, Korea

2008.3 ~ 2012.2   B.S.in Medicine(M.D.)(Cum Laude)
    College of Medicine,
    Seoul National University, Seoul, Korea

2015.3 ~ 2017.2   M.S.in Clinical Medical Science (Radiology)
    College of Medicine,
    Seoul National University, Seoul, Korea

2017.3 ~ 2021.2   Ph.D.in Medical Science and Engineering
    Graduate School of Medical Science and Engineering,
    Korea Advanced Institute of Science and Technology,
    Daejeon, Korea (Advisor: Prof. BumSeok Jeong)

2021.3 ~ 2022.2   Clinical Fellowship in Department of Radiology,
    Seoul National University Hospital, Seoul, Korea

2022.3 ~ Present  Assistant Professor in Department of Radiology,
    Seoul National University Hospital, Seoul, Korea

Internship

2012.3 ~ 2013.2 Seoul National University Hospital, Seoul, Korea

Residency

2013.3 ~ 2017.2 Department of Radiology,Seoul National University Hospital, Seoul, Korea

Awards

2004 The Presidential Science Scholarship

2017 Korean Society of Radiology (KSR)
Excellent publication award for resident

2020 Korean Society of Neuroradiology (KSNR), Brain Function Research Group, Excellent publication award(grand prize)

2020 Korean Society of Radiology (KSR) Excellent publication award(excellence award)

Service

Reviewer, IEEE Transactions on Medical Imaging,
British Journal of Radiology, European
Radiology, Korean Journal of Radiology, Nature
Machine Intelligence, Radiology: Artificial Intelligence,
Journal of Neuroradiology,
World Journal of Surgical Oncology, Acta Radiologica

Invited Lecture

2021 Asian Society of Magnetic Resonance in Medicine(ASMRM)
Japanese chapter

2021 Korean Society of Artificial Intelligence in Medicine (KOSAIM)

2021 International Congress on Magnetic Resonance Imaging (ICMRI)

2022 World Federation of Neuro-Oncology Societies (WFNOS)

2022 Asian Society of Magnetic Resonance in Medicine (ASMRM)

Selected Publications

(* indicates corresponding author)

1. Choi KS, You S-H, Han Y, Ye JC, Jeong B, Choi SH. Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach. Radiology. 2020; 297(1):178-188 (IF=19.7)

2. Choi KS, Kim SH, Kim SG, Han JK. Early gastric cancers: is CT surveillance necessary after curative endoscopic submucosal resection for cancers that meet the expanded criteria? Radiology. 2016; 281(2):444-453 (IF=19.7)

3. Lee JO, Ahn SS, Choi KS*, Lee J, Jang J, Park JH, Hwang I, Park CK, Park SH, Chung JW, Choi SH. Added Prognostic Value of 3D Deep Learning-Derived Features from Preoperative MRI for Adult-type Diffuse Gliomas. Neuro Oncol. 2023 Oct 19:noad202. doi: 10.1093/neuonc/noad202. Epub ahead of print. PMID: 37855826.(IF=15.9)

4. Choi KS, Choi SH, Jeong B. Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network. Neuro-Oncology. 2019; 21(9):1197-1209 (IF=15.9)

5. Nam JY, Chung HJ, Choi KS, ... & Lee JH (2022). Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison. Gastrointestinal Endoscopy, 95(2), 258-268 (IF=7.7; 2021 IF=10.396)