Zhiming Bai

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.

Semi-supervised Prostate Multi-Regional Semantic Segmentation with Patch-Based Plug-and-Play Correction Guidance.

A labeled patch guidance (LPG) for patch-level interactive enhancement module that optimizes pseudo-label quality for unlabeled data by dynamically mining anatomical prior knowledge from labeled data is proposed.

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