This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an ...
Cardio-vascular diseases is a major cause of deaths worldwide. Early diagnosis is quite often associated with more efficient treatment leading to a significant decrease of the mor...
This paper presents a novel non-rigid registration method. The main contribution of the method is the modeling of the vorticity (respectively divergence) of the deformation field u...
Unsupervised methods for automatic vessel segmentation from retinal images are attractive when only small datasets, with associated ground truth markings, are available. We presen...