Wooseung Kim
M.S. Student
Bio & Brain Engineering, KAIST
wooseung.kim (at) kaist.ac.kr
About Me
I am an M.S. student in the
MRI Lab
at
KAIST
.
Research Interests
Medical Image Analysis:
MRI, Segmentation, Registration
Computer Vision:
Image-to-image translation, Generative models
Education
KAIST, Bio & Brain Engineering Master’s degree
Mar.2025 – Current
HUFS, Biomedical Engineering Bachelor’s degree
Mar.2018 – Feb.2025 (Military Service 2020-2021)
Publications
Preprints
Unsupervised Susceptibility Distortion Correction of EPI without Calibration Scans via Image Translation-Based Registration
Wooseung Kim
and Sung-Hong Park
Paper
BibTex
Journal Articles
Virtual 1-hour delayed post-contrast 3D heavily T2-weighted FLAIR from 10-minute delayed post-contrast scans using a deep learning model: preliminary study for inner ear application
Yeonah Kang, Woojin Chung, Seokhwan Lee,
Wooseung Kim
, Yoonho Nam, and Ho-Joon Lee
NMR in Biomedicine, 2026 (Under Review)
Deep Learning-Based Inner Ear Subregion Segmentation in 3D T2-Weighted MRI Using Label-Preserving Data Augmentation
Wooseung Kim
, Yeonah Kang, Seokhwan Lee, Ho-Joon Lee, and Yoonho Nam
NMR in Biomedicine, 2026
Paper
Code
BibTex
Label-Preserving Data Augmentation for Robust Segmentation of Thin Structure in MRI
Wooseung Kim
, Yeonah Kang, Seokhwan Lee, Ho-Joon Lee, and Yoonho Nam
Investigative Magnetic Resonance Imaging (iMRI), 2024
Paper
BibTex
Conference Papers
SACRED: Susceptibility Artifact Correction without Reverse phase-encoding for EPI using Deep learning
Wooseung Kim
and Sung-Hong Park
International Society for Magnetic Resonance in Medicine (ISMRM), 2026
Paper
BibTex
Deep Learning-Based Topology-Preserving Inner Ear Subregion Segmentation in MRI
Wooseung Kim
, Dayeon Bak, Yeonah Kang, Ho-Joon Lee, and Yoonho Nam
International Society for Magnetic Resonance in Medicine (ISMRM), 2025
Paper
BibTex
Awards
TopBrain2025 Challenge
(Multi-Class Brain Vessel Segmentation, MICCAI 2025)
Paper
Certificate
🥇
1st Place
on both MRA and CTA tasks
EPVS2024 Challenge
(Enlarged Perivascular Space Segmentation, MICCAI 2024)
Paper
Certificate
🥉
3rd Place