3 papers
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
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.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-…