We introduce a generalized Fast-Marching algorithm, able to compute paths globally
minimizing a measure of length, defined with respect to a variety of metrics in dimension two …

Objective: To investigate the clinical utility of deep convolutional neural network (DCNN)
tract classification as a new imaging tool in the preoperative evaluation of children with focal …

We present a fiber tractography approach based on a random forest classification and voting
process, guiding each step of the streamline progression by directly processing raw diffusion …

Improved understanding of neuroimaging signal changes and their relation to patient
outcomes after ischemic stroke is needed to improve ability to predict motor improvement …

Local fiber orientation distributions (FODs) can be computed from diffusion magnetic
resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber …

Spherical deconvolution methods are widely used to estimate the brain's white-matter fiber
orientations from diffusion MRI data. In this study, eight spherical deconvolution algorithms …

The ability to map brain networks in living individuals is fundamental in efforts to chart the
relation between human behavior, health and disease. Advances in network neuroscience …

Diffusion tensor imaging (DTI) is a powerful MRI technique that can be used to estimate both
the microstructural integrity and the trajectories of white matter pathways throughout the …

Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-invasive
approach for estimation of intravoxel tissue microarchitecture and reconstruction of in vivo …

Diffusion MRI tractography is the most widely used macroscale method for mapping
connectomes in vivo. However, tractography is prone to various errors and biases, and thus …