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Yoonseok Choi

PhD Student

MILab, Yonsei University


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I am a Ph.D. student at Yonsei University, advised by Prof. Dong-Hyun Kim, in the Medical Imaging Artificial Intelligence Lab (MILAB). In 2025, I worked as a visiting student at the Vision and Learning Lab (VLLab), UC Merced, under the supervision of Prof. Ming-Hsuan Yang, broadening my research into generative modeling and image reconstruction.

My research addresses the missing modality problem in MRI, where incomplete acquisitions are common in clinical practice yet severely limit downstream analysis. I develop methods that leverage knowledge distillation, generative modeling, and disentangled representation learning to enable reliable diagnosis from incomplete data. These techniques, learning from incomplete data and recovering missing information, apply broadly across computer vision. My wider interests include super-resolution, motion artifact correction, and segmentation in brain MRI.

I am currently seeking a research internship opportunity and welcome any inquiries!

Contact

  • yoonseokchoi@yonsei.ac.kr

  • C218, Engineering Hall 3, Yonsei University, Seoul, Republic of Korea

Education

  • 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

Recent News🎉

  • [Jul 2025] 🔥Our MICCAI2025 paper "TESLA" has been selected to an Oral presentation (top 2.2%)
  • [Jun 2025] 🎉One paper has been accepted to MICCAI 2025!
  • [Jan 2025] 📢Visiting Student at the UC Merced Vision and Learning Lab supervised by Prof. Ming-Hsuan Yang (2025.01.31 ~ 2026.01.31)
  • [Jan 2025] 🎉Yonsei Junior Convergence Research Group 1st place, 1,500,000 won
  • [Nov 2024] 🎉Our research paper got a Best Trainee Scientific Awards Poster Presentation (Gold) in ICMRI 2024!
  • [Jun 2024] 🎉One paper has been accepted to MICCAI 2024!
  • [Feb 2024] 🎉One paper has been accepted to ISMRM 2024 as an Oral presentation!
  • [Oct 2023] 🎉One paper has been accepted to Computer Methods and Programs in Biomedicine Journal (Impact Factor = 6.1)
  • [Mar 2023] 🎓 Joined MILab at Yonsei University for my PhD Program.

Research Experiences

  • Vision and Learning Lab, University of California at Merced, USA
    Feb 2025 - Jan 2026

    Visiting Student Researcher (Advisor: Ming-Hsuan Yang)
  • Medical Imaging Artificial Intelligence Lab, Yonsei University, Seoul
    Mar 2023 - Present

    Graduate Student Researcher (Advisor: Dong-Hyun Kim)
  • Medical Imaging Artificial Intelligence Lab, Yonsei University, Seoul
    Mar 2021 - Feb 2023

    Graduate Student Researcher (Advisor: Dong-Hyun Kim)
  • Medical Imaging Artificial Intelligence Lab, Yonsei University, Seoul
    Jul 2020 - Feb 2021

    Undergraduate Research Intern (Advisor: Dong-Hyun Kim)
  • Signal Processing Lab, Yonsei University, Seoul
    Mar 2019 - Dec 2019

    Undergraduate Research Intern (Advisor: Young-Ro Yoon)

Selected Publications

  • DRIFT: Difficulty-aware Rectified Flows for Through-plane MRI Super-Resolution

    Yoonseok Choi, Eun-Gyu Ha, Daniel Kim, Mohammed A. Al-masni, Ming-Hsuan Yang, and Dong-Hyun Kim

    Under Review

    [ ]

  • Controlling Motion Transfer in Diffusion Transformers via Attention Heads

    Sunyoung Jung*, Jiwoo Park*, Yoonseok Choi, Kyobin Choo, Ming-Hsuan Yang, and Seong Jae Hwang

    Under Review

    [ ]

  • 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%)

    [ paper | project ]

  • 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, and Dong-hyun Kim

    MICCAI 2024

    [ paper | code ]

  • 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, and Dong-Hyun Kim

    Computer Methods and Programs in Biomedicine (CMPB), impact factor: 6.1

    [ paper ]

Academic Activities

Reviewer

  • CVPR 2026
  • MICCAI 2025
  • ICCV 2025

Awards & Honors

  • 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 won), 2025
  • BK21 FOUR (Brain Korea 21 Four) Project; Support Program for Outstanding Graduate Students' International Joint Training 1 year from the commencement of training (12months, 26,000,000 won), 2024
  • Structural brain correlates of foreign language proficiency and experiences, Junior Convergence Research Group (3rd place, 500,000 won), 2023
  • DSU-Net2D: Deep Supervision U-Net2D, Medical Image Processing Contest with Rayence and Yonsei University (2nd place, 2,000,000 won), 2022