Show simple item record

dc.contributor.authorPepe, Antonietta,University of Bordeaux
dc.contributor.authorDinov, Ivo,University of Michigan
dc.contributor.authorTohka, Jussi,University of Eastern Finland
dc.date.accessioned2018-08-22T11:34:50Z
dc.date.available2018-08-22T11:34:50Z
dc.date.issued2018-05-28T17:02:56.388342+00:00
dc.identifier.other10.5281/zenodo.1254547en
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/6838
dc.description.abstractWe have designed, implemented and distributed a fully automatic neuroimaging infrastructure for the synthesis and analysis of structural magnetic resonance imaging (MRI) data. The framework provides a concrete environment for the quantitative validation of various methods for the analysis of brain asymmetries, for comparisons of methods and measures of brain shape asymmetry, and possibly for clarifying contradicting neuroimaging findings of brain lateralizations. See https://sites.google.com/site/brainmorphorg/home and A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry.NeuroImage , 100: 444 - 459, 2014 for more information.
dc.relation.urihttps://zenodo.org/record/1254547
dc.subjectMagnetic resonance imaging
dc.subjectMRI
dc.subjectVoxel based morphometry
dc.subjectBrain asymmetry
dc.subjectValidation
dc.subjectSimulation
dc.titleAn Automatic Neuroimaging Infrastructure For Synthesis and Analysis of Structural MRI Data
dc.relation.doi10.5281/zenodo.1254547


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record