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Yoonseok Choi

PhD Student

MILab, Yonsei University


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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!

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 - Present

    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, Sangmyung University, Seoul
    Sep 2018 - Nov 2020

    Undergraduate Research Intern (Advisor: Young-Ro Yoon)

Selected Publications

  • 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 ]

  • 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

  • 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