activity
20162020
most citedA Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SI2020★ 3 cited

A Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives

Juan Luis Villarreal-Haro, Alonso Ramirez-Manzanares, Juan Antonio Pichardo-Corpus

We study the impact of the brain tractography false positives in the brain connectivity graphs. The representative input database for the analysis is the set of tractograms from th…

physics.med-ph2019

Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the substrate complexity and parameter choice on the reproducibility of results

Jonathan Rafael-Patino, David Romascano, Alonso Ramirez-Manzanares +3

Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth tool for the validation of microstructure models for Diffusion-Weighted MRI. However, methodol…

math.NA2019

A GPU implementation of the Discontinuous Galerkin method for simulation of diffusion in brain tissue

Daniel Cervantes, Miguel angel Moreles, Joaquin Peña +1

In this work we develop a methodology to approximate the covariance matrix associated to the simulation of water diffusion inside the brain tissue. The computation is based on an i…

physics.med-ph2016

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Uran Ferizi, Benoit Scherrer, Torben Schneider +20

A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the…