The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Abstract. Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image r...
Linh K. Ha, Marcel Prastawa, Guido Gerig, John H. ...
Abstract. We present a framework for statistical analysis in large cohorts of structural brain connectivity, derived from diffusion weighted MRI. A brain network is defined betwe...
Renske de Boer, Michiel Schaap, Fedde van der Lijn...
SARC merges cache controller and network interface functions by relying on a single hardware primitive: each access checks the tag and the state of the addressed line for possible...