This paper proposes a new interactive hybrid non-rigid registration framework that combines any intensity-based algorithm with a feature-based component, using an iterative dual e...
Antoine Azar, Chenyang Xu, Xavier Pennec, Nicholas...
Abstract. In this paper we propose a two-step mutual informationbased algorithm for medical image segmentation. In the first step, the image is structured into homogeneous regions,...
Jaume Rigau, Miquel Feixas, Mateu Sbert, Anton Bar...
Non-rigid image registration is an ill-posed yet challenging problem due to its supernormal high degree of freedoms and inherent requirement of smoothness. Graph-cuts method is a p...
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
For non-rigid registration, the objects in medical images are usually treated as a single deformable body with homogeneous stiffness distribution. However, this assumption is inval...