I am a third-year Ph.D. student at Yonsei University, advised by Prof.Dong-Hyun Kim, in the Medical Imaging Artificial Intelligence Lab (MILAB). In 2025, I am also conducting research as a visiting student at the Vision and Learning Lab (VLLab), UC Merced, under the supervision of Prof. Ming-Hsuan Yang, expanding my expertise in computer vision and generative modeling.
My doctoral research focuses on medical image analysis and computer vision, with a particular emphasis on developing deep learning methods to address clinical unmet needs such as the missing modality issue in MRI. My broader research interests include segmentation, super-resolution, motion artifact correction, image generation, disentangled representation learning, and MRI analysis. I am motivated by challenges that bridge fundamental deep learning techniques with real-world clinical applications, aiming to create robust and generalizable AI solutions for healthcare.
I am currently looking for a research internship position! Please feel free to contact me!
yoonseokchoi@yonsei.ac.kr
C218, Engineering Hall 3, Yonsei University, Seoul, Republic of Korea
PhD in Electrical and Electronic Engineering, 2023 - Present
Yonsei University, Seoul
MS in Electrical and Electronic Engineering, 2021 - 2023
Yonsei University, Seoul
BS in Biomedical Engineering, 2015 - 2021
Yonsei University, Wonju
TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI
MICCAI 2025, Oral presentation (Top 2.2%)
[ project ]
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities
Computer Methods and Programs in Biomedicine (CMPB), impact factor: 6.1
[ paper ]