Happy to share that our paper "Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction" received the Best Paper Award at the Med-Reasoner Workshop at @CVPR !
Using just 16–128 examples with Qwen-Image-Edit, we achieve SOTA perceptual quality on AAPM CT-MAR.
#MedReasoner #MedicalAI #CVPR2026