3 papers
cs.CV2026
Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays
Hanbin Ko, Gihun Cho, Inhyeok Baek +5
Multimodal learning from paired medical images and clinical text is a central challenge in medical data-driven informatics, where effective cross-modal alignment is critical for sc…
cs.CV2026
Temporal Inversion for Learning Interval Change in Chest X-Rays
Hanbin Ko, Kyungmin Jeon, Doowoong Choi +1
Recent advances in vision--language pretraining have enabled strong medical foundation models, yet most analyze radiographs in isolation, overlooking the key clinical task of compa…
cs.CV2025
Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
Hanbin Ko, Chang-Min Park
The development of large-scale image-text pair datasets has significantly advanced self-supervised learning in Vision-Language Processing (VLP). However, directly applying general-…