In addition to the widely-used Shannon mutual information, generalized information-theoretic similarity metrics have properties that make them conducive to biomedical image registr...
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...
Nonrigid medical image registration has many potentially applications for diagnosis and monitoring disease progression in the clinic, and is very hot in computational anatomy. How...
This paper addresses the challenging problem of statistics on images by describing average and variability. We describe computational anatomy tools for building 3-D and spatio-tem...
Guido Gerig, Brad Davis, Peter Lorenzen, Shun Xu, ...
In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of "sharpness" and the joint registration-segmentation o...
B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, ...