This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
Background: Three-dimensional (3-D) visualization of multimodality neuroimaging data provides a powerful technique for viewing the relationship between structure and function. A n...
Eider B. Moore, Andrew V. Poliakov, Peter Lincoln,...
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
L.-M. Birkholtz, Olivier Bastien, G. Wells, D. Gra...