Hanbin Ko
Medical AI Researcher · Ph.D. Student
Seoul National University — Biomedical Engineering
Integrated Major in Innovative Medical Science
Focus
Research Interests
Multimodal AI
Representation Learning
Vision-Language Models
Chest X-Ray (CXR)
Chest CT
Musculoskeletal (MSK)
Medical VLP
Foundation Models
Research
Publications
CVPR 2026
Temporal Inversion for Learning Interval Change in Chest X-Rays
CVPR 2025
Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation Aware Learning for Medical Analysis
arXiv 2025
Exploring the Capabilities of LLM Encoders for Image-Text Retrieval in Chest X-rays
MIDL 2022
PILLET-GAN: Pixel-Level Lesion Traversal GAN for Pneumonia Localization
ACPR 2021
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation
COLING 2020
CoNAN: A Complementary Neighboring-Based Attention Network for Referring Expression Generation
Background
Education
2024.9 — Present
Ph.D. Student · Seoul National University
Biomedical Engineering + Integrated Major in Innovative Medical Science
2018 — 2020
M.S. · Korea University
Brain and Cognitive Engineering
2013 — 2018
B.S. · Korea University
Biomedical Engineering
Industry
Experience
2020 — 2024
Medical AI Researcher · VUNO Inc.
Developed clinical AI solutions for radiology and digital pathology.
Ongoing
Current Projects
Robust Medical Foundation Model
Foundation model for chest & musculoskeletal X-rays and CTs with robust clinical applicability.
Medical Vision-Language Pretraining
Large-scale pretraining tailored for radiology to enhance imaging-language synergy.
Multi-Modality X-ray Enhancement
Upscaling X-ray image potential by linking with other medical imaging modalities.
Temporal Change Detection
Learning interval changes across sequential medical images for longitudinal analysis.
Updates
News
2025-02-27
🎉 CVPR 2025 paper accepted — "Bringing CLIP to the Clinic"
2025
📄 arXiv preprint — "Exploring the Capabilities of LLM Encoders for Image-Text Retrieval in Chest X-rays"
2026
🎉 CVPR 2026 paper accepted — "Temporal Inversion for Learning Interval Change in Chest X-Rays"