Yu Zhang

Anatomical Prior-Guided Black-Box Attack Optimization for Prostate Tumor mpMRI Classification Models.

This study confirms the pivotal role of anatomical priors, offering a novel paradigm for balancing attack imperceptibility with efficiency and pro viding a low-resource framework for evaluating medical AI robustness.

PURD: A Prior-Guided and Uncertainty-Aware Residual Diffusion Model for Multi-Modal MRI Synthesis.

A Prior-guided Uncertainty-aware Residual Diffusion model (PURD), designed to generate accurate and anatomically consistent multi-modal MR images, and adopts a residual diffusion framework-replacing traditional Gaussian diffusion-to more effectively capture subtle lesion details.

DiTFusion: Prostate magnetic resonance image fusion based on Scalable Diffusion Models with transformers