Yehyun Suh

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Yehyun is an NIH F31 Predoctoral Fellow and a Ph.D. student in Computer Science at Vanderbilt University and an affiliated student at ⁠VISE(Vanderbilt Institute for Surgery and Engineering) and VALIANT(Vanderbilt Lab for Immersive AI Translation).

He conducts his research in the VINE (Vision Information Neuroimaging Engineering) Laboratory under the supervision of Dr. Daniel Moyer. He also collaborates closely with Dr. J. Ryan Martin in the Department of Orthopaedic Surgery at Vanderbilt University Medical Center, Dr. Yayun Du in the Department of Electrical and Computer Engineering at Vanderbilt University, and Dr. Alexander P. Hughes from Hospital of Special Surgery. His research focuses on machine learning and computational methods across medical image registration and analysis, computer vision, and IMU-based time-series data. In addition to his research, Yehyun serves as Vice President of the Korean Graduate Students and Scholars Association (KSSA) and as Treasurer of VALIANT.

Prior to his graduate studies, Yehyun received his undergraduate degree in Information and Communication Engineering from Dongguk University, where he conducted research under the supervision of Dr. Woongsup Kim.

Email: {firstname}.{lastname}@vanderbilt.edu
Office: Featheringill Jacobs Hall 371

news

Aug 13, 2026 Awarded an NIH Predoctoral Individual NRSA F31 Fellowship to support my research on patient-specific image guidance for total hip arthroplasty.
Feb 14, 2026 Our paper has been accepted to Medical Imaging with Deep Learning
Oct 27, 2025 3 papers(paper1, paper2, paper3) has been accepted to SPIE Medical Imaging
Jul 21, 2025 Our paper has been accepted to MICCAI Workshop on Clinical Image-based Procedures (CLIP)
Jun 9, 2025 Our paper has been accepted to The Journal of Arthroplasty (JoA) (IF 3.4, JCR Q1, Top 10.7%)

publications

2026

  1. Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation
    Yehyun SuhBrayden Schott, Chou Mo, J. Ryan Martin, and Daniel Moyer
    In Medical Imaging with Deep Learning, 2026

2025

  1. 2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting
    Yehyun SuhJ Ryan Martin, and Daniel Moyer
    In Workshop on Clinical Image-Based Procedures, 2025
  2. Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA
    Aleksander P MikaYehyun Suh, Robert W Elrod, Martin FaschingbauerDaniel C Moyer, and J Ryan Martin
    Computers in Biology and Medicine, 2025

2023

  1. Dilation-Erosion Methods for Radiograph Annotation in Total Knee Replacement
    In Medical Imaging with Deep Learning, short paper track, 2023