Zhiming Bai

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

Multi-parametric magnetic resonance imaging (mpMRI) provides complementary diagnostic information; however, its clinical utility is often hindered by the issue of missing modalities resulting from prolonged scanning times, high costs, and the potential risks associated with contrast agents. While diffusion models (DMs)...

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

The high cost of medical image annotation severely restricts the clinical application of prostate precise multi-regional segmentation technologies. To address existing bottlenecks in semi-supervised learning methods, including insufficient alignment of local anatomical structures and pseudo-label noise accumulation, th...

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