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cs.CV2026
CompDiff enables fair and zero shot medical image generation across demographic intersections through compositional diffusion
Mahmoud K. Ibrahim, Mahmoud Ibrahim, Bart Elen +7
Medical image generators trained on imbalanced data can fail at demographic intersections absent from training. We introduce CompDiff, which encodes age, sex and race separately an…
cs.CV2025
Adapting Lightweight Vision Language Models for Radiological Visual Question Answering
Aditya Shourya, Michel Dumontier, Chang Sun
Recent advancements in vision-language systems have improved the accuracy of Radiological Visual Question Answering (VQA) Models. However, some challenges remain across each stage…