Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
We consider the problem of reconstructing a compact 3manifold (with boundary) embedded in R3 from its crosssections with a given set of cutting planes having arbitrary orientation...
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or -divergence, to fluid registration of diffusion tensor images. The difference b...
Ming-Chang Chiang, Alex D. Leow, Andrea D. Klunder...
A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in ...