Zhimin Xu

Diffusion-Based Native Adversarial Synthesis for Enhanced Medical Segmentation Generalization

Diffusion models (DMs) can generate anatomically realistic medical images, offering a compelling route to improving generalization through synthetic augmentation. Yet high visual realism does not necessarily translate into improved downstream utility. This work addresses two key questions in diffusi