Julia A. Schnabel

Frozen vision-language models can dramatically improve abnormality grounding in rare disease imaging by iteratively refining decisions through optimized instructions and visual perturbations.

Forget simple averaging: this entropy-adaptive model merging strategy unlocks robust performance in medical imaging by intelligently combining models trained on diverse, private clinical datasets.