Mapping of structural and functional connectivity may provide deeper understanding of brain
function and disfunction. Diffusion Magnetic Resonance Imaging (DMRI) is a powerful …

Objective: We consider the problem of clustering white matter fiber pathways, extracted from
diffusion MRI data via tractography, into bundles that are consistent with the neuroanatomy …

Speaker clustering is the task of forming speaker-specific groups based on a set of
utterances. In this paper, we address this task by using Dominant Sets (DS). DS is a graph …

DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm
written entirely in Matlab. The DS method is a graph-based clustering technique rooted in …

For most animal species, quick and reliable identification of visual objects is critical for
survival. This applies also to rodents, which, in recent years, have become increasingly …

We present a fast algorithm for automatic segmentation of white matter fibers from
tractography datasets based on a multi-subject bundle atlas. We describe a sequential …

Diffusion tensor imaging allows to infer brain connectivity from white matter, which can then
be investigated aiming at finding possible biomarkers of disease. The usual initial step in …

The association between fluids and tensors can be observed in some practical situations,
such as diffusion tensor imaging and permeable flow. For simulation purposes, tensors may …

Abstract Advanced Diffusion Weighted Imaging (DWI) techniques and leading tractography
algorithms produce dense fiber sets of hundreds of thousands of fibers, or more. In order to …

For most animal species, quick and reliable identification of visual objects is critical for
survival. This applies also to rodents, which, in recent years, have become increasingly …