Medical AI, Medical image analysis, Medical image and text processing
학력
Ph.D. Korea Advanced Institute of Science and Technology (KAIST), 2023
M.S. Korea Advanced Institute of Science and Technology (KAIST), 2019
B.S. Korea Advanced Institute of Science and Technology (KAIST), 2017
약력/경력
Assistant Professor, Sungkyunkwan University, 2025-Present
Postdoctoral Fellow, National Institute of Health (NIH), USA, 2023-2024
학술지 논문
(2025)
Privacy-Preserving Large Language Model for Matching Findings and Tracking Interval Changes in Longitudinal Radiology Reports.
JOURNAL OF IMAGING INFORMATICS IN MEDICINE.
-,
-
(2025)
MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI.
RADIOLOGY.
315,
1
(2024)
Automated Classification of Body MRI Sequences Using Convolutional Neural Networks.
ACADEMIC RADIOLOGY.
32,
3
(2024)
Classification of Multi-Parametric Body MRI Series Using Deep Learning.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS.
28,
11
(2024)
OTMorph: Unsupervised Multi-domain Abdominal Medical Image Registration Using Neural Optimal Transport.
IEEE TRANSACTIONS ON MEDICAL IMAGING.
44,
1
(2024)
End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography.
ENDOCRINOLOGY AND METABOLISM.
39,
3
발전기금
