research
∙
11/03/2022
𝒳-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing
This paper presents a generic probabilistic framework for estimating the...
share
research
∙
06/06/2022
Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement
Previous methods on multimodal groupwise registration typically require ...
research
∙
01/10/2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatme...
research
∙
05/20/2021
A low-rank representation for unsupervised registration of medical images
Registration networks have shown great application potentials in medical...
research
∙
11/17/2020
Anatomy Prior Based U-net for Pathology Segmentation with Attention
Pathological area segmentation in cardiac magnetic resonance (MR) images...
research
∙
06/28/2020
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Current deep-learning-based registration algorithms often exploit intens...
research
∙
06/18/2019
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
Cardiac segmentation from late gadolinium enhancement MRI is an importan...
research
∙
02/26/2019