Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discr...
The paper presents a novel statistical framework for cortical folding pattern analysis that relies on a rich multivariate descriptor of folding patterns in a region of interest (RO...
Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, ...
Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...
The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to i...
Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Gollan...
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...