Multisubject statistical analyses of diffusion tensor images in regions of specific white matter tracts have commonly measured only the mean value of a scalar invariant such as the...
Lauren O'Donnell, Carl-Fredrik Westin, Alexandra G...
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...
Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswa...
This paper provides a description of designers' work practices in a software company. We describe a participatory analysis of the diversity of working relations and roles of ...