arrow
Return

LDM-Morph: Latent diffusion model guided deformable image registration

delete2025-12-23
delete0
delete
OA
AI
J
Jiong Wu
T
Tinsu Pan
K
Kuang Gong
DOI:10.1016/j.patcog.2025.112925delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• LDM-Morph improves medical image registration using a latent diffusion model. • A dual-stream encoder is proposed to enhance feature learning for image alignment. • LGCA module is designed to boost feature interaction and improve precision. • Novel hierarchical similarity metric improves accuracy and topology preservation.
Keywords:
Deformable registration
Latent diffusion model
Dual-stream cross learning
Latent feature
Unsupervised learning
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

U
University of Florida
Scholars:
4.0W
Papers: 3.1W
Citations: 6.6W
U
University of Texas MD Anderson Cancer Center
Scholars:
980
Papers: 359
Citations: 1