Seunghun Baek
Scholar

Seunghun Baek

Google Scholar ID: k9oUmjIAAAAJ
GSAI, POSTECH, S. Korea
Machine LearningMedical ImagingComputer Vision
Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
6
list available
Publications
3 items
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2025
Cited
0
Modality-Agnostic Style Transfer for Holistic Feature Imputation
IEEE International Symposium on Biomedical Imaging · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Papers accepted to MICCAI 2025 (top ~9%), MICCAI 2024 (top ~11%), IEEE ISBI 2024 (top ~14% oral presentation), and IEEE ISBI 2023. Selected for the IITP AI Intensive Program in 2022, receiving about $50,000 from the Korean government to spend six months as a visiting student at CMU LTI.
Research Experience
  • Currently conducting research at MIP Lab, POSTECH, focusing on data-efficient learning methods and their applications in the medical field.
Education
  • Started the integrated MSc/PhD program in MIP Lab, POSTECH, since July 2021, under the supervision of Dr. Won Hwa Kim.
Background
  • Research interests include representation learning, data-efficient learning, incomplete multimodal learning, and medical imaging (particularly the brain). Currently an integrated MSc/PhD student at MIP Lab, POSTECH, supervised by Dr. Won Hwa Kim.