Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to locate morphological changes. In this paper, we present the a nov...
Martin Andreas Styner, Ipek Oguz, Rachel Gimpel Sm...
The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fib...
Stanley Durrleman, Pierre Fillard, Xavier Pennec, ...
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
Conventional radiography seeks to produce, at each location in the image plane, a measure of the x-ray absorption of the object. In this paper, we present a method of determining ...
Miles N. Wernick, Oliver Wirjadi, Dean Chapman, Or...