Contact Information
[cv] [github] [google scholar] [LinkedIn]
Embedded Files
Yoonseok Choi
I'm a third-year Ph.D. student at the Yonsei University Medical Imaging AI Lab (MILAB) advised by Prof. Dong-Hyun Kim. Also, I'm researching in Vision & Learning Lab (VLLab) at UC Merced, supervised by Prof. Ming-Hsuan Yang during 2025 as a visiting scholar. My research interests include medical image analysis, computer vision. Specifically, I have an interest in developing deep learning techniques to address clinical unmet needs, particularly in solving the missing modality issue.
I am always open to collaboration with like-minded individuals. If you are interested in working together or discussing ideas, please feel free to reach out to me via email anytime!
News
[Jul 29, 2025] 🔥 Our MICCAI2025 paper "TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI" has been selected to an Oral presentation (top 2.2%)
[Jun 12, 2025] 📢One paper has been accepted to MICCAI2025 ("TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI")
[Jan 31, 2025] Visiting Scholar at the UC Merced Vision and Learning Lab supervised by Prof. Ming-Hsuan Yang (2025.01.31 ~ 2026.01.31) (Funded by BK21 FOUR(Brain Korea 21 Four) Project; Support Program for Outstanding Graduate Students' International Joint Training)
[Jan 16, 2025] [1st place, \1,500,000] Yonsei Junior Convergence Research Group "Cognitive and Biological Factors Related to the Development of Question-Asking Abilities in School-Aged Children"
[Nov 9, 2024] Our research paper got a Best Trainee Scientific Awards Poster Presentation (Gold) in ICMRI 2024, "Improving subcortical segmentation in brain MRI using knowledge distillation to enhance robustness against motion artifacts", Printed Poster.
Education
Mar. 2023 ~ Ph.D., (Electrical and Electronic Engineering)
Yonsei University, Seoul, Republic of Korea
Mar. 2021 ~ Feb. 2023 M.S., (Electrical and Electronic Engineering)
Yonsei University, Seoul, Republic of KoreaMar. 2015 ~ Feb. 2021 B.S., (Biomedical Engineering)
Yonsei University, Wonju, Gangwon-do, Republic of Korea
Research Interests
Generative model / Data Imputation / Super Resolution / Knowledge Distillation / Segmentation / Motion Correction
Publications
A Single Stage Knowledge Distillation Network for Brain Tumor Segmentation on Limited MR Image Modalities
Yoonseok Choi, Mohammed A. Al-masni, Kyu-Jin Jung, Roh-Eul Yoo, Seong-Yeong Lee, Dong-Hyun Kim, Computer Methods and Programs in Biomedicine
[paper]
Conference papers
TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI
Yoonseok Choi, Sunyoung Jung, Mohammed A. Al-masni, Ming-Hsuan Yang, and Dong-Hyun Kim, MICCAI 2025, Oral presentation (top 2.2%)
[project]
SUPREM: A Super-Resolution Network for Through-Plane Structure Enhancement Using Disentangled Representation Learning in Multi-Contrast MRI
Yoonseok Choi, Sunyoung Jung, Mohammed A. Al-masni, Daniel Kim, and Dong-Hyun Kim, ISMRM 2025, Digital Poster
[paper]
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning
Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Dong-Hyun Kim, MICCAI 2024
[paper]
Brain Tissue Segmentation Robust to motion artifacts using Deformation-Aware Network
Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim, ISMRM 2024, Oral presentation
[paper]
Yoonseok Choi, Mohammed A. Al-masni, Hyeok Park, Jun-ho Kim, Dong-Hyun Kim, Roh-Eul Yoo, ISMRM 2023, Oral presentation
Brain Tumor Segmentation Using 3D CMM-Net with Limited and Accessible MR Images
Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim, ISMRM 2022, Digital Poster
[paper]
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge
Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim, MICCAI 2021 Brain lesion Workshop
[paper]
Patents
“Integrated Software Platform to Visualize Brain Tumor Segmentation Masks from MR Image"
YoonseokChoi, HyeokPark, and Dong-Hyun Kim, Registration Date: August 17, 2022, Registration No: C-2022-032255 (Software Registration)
“MR 이미지의 뇌종양 분할 장치 및 방법”, 김동현, 최윤석, 출원번호: 10-2022-0136260, 출원일자: 2022-10-21
Awards and Honors
2025 Hyebin Sung, Seoran Kim, Yuju Shin, Dongwook Kim, Jae-Yoon Kim, Jun-Ho Kim, Soohyoung Lee, Yoonseok Choi, Eun-Gyu Ha, “Cognitive and Biological Factors Related to the Development of Question-Asking Abilities in School-Aged Children”, Junior Convergence Research Group (1st place, \ 1,500,000)
2024 BK21 FOUR(Brain Korea 21 Four) Project; Support Program for Outstanding Graduate Students' International Joint Training (1 year from the commencement of training (12 months, \ 26,000,000))
2023 XIAOQIAO WANG, Seoran Kim, Jae-Yoon Kim, Jun-Ho Kim, Yoonseok Choi, Eun-Gyu Ha, “Structural brain correlates of foreign language proficiency and experiences”, Junior Convergence Research Group (3rd place, \ 500,000)
2022 Yoonseok Choi, Sewook Kim, “DSU-Net2D: Deep Supervision U-Net2D”, Medical Image Processing Contest with Rayence and Yonsei University (2nd place, \ 2,000,000)
Academic Activities
Reviewer
MICCAI 2025
ICCV 2025
Page updated
Google Sites
Report abuse