Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alessandro eDaducci"'
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
One of the major limitations of diffusion MRI tractography is that the fiber tracts recovered by existing algorithms are not truly quantitative. Local techniques for estimating more quantitative features of the tissue microstructure exist, but their
Externí odkaz:
https://doaj.org/article/4e900073f3f549c28231633844b3d7b2
Autor:
Oscar eEsteban, Emmanuel eCaruyer, Alessandro eDaducci, Meritxell eBach-Cuadra, María J. Ledesma-Carbayo, Andres eSantos
Publikováno v:
Frontiers in Neuroinformatics, Vol 10 (2016)
Externí odkaz:
https://doaj.org/article/4103fe6572c344238851ee8d9ff0d5b9
Autor:
Alia eLemkaddem, Didrik eSkiöldebrand, Alessandro eDal Palú, Jean-Philippe eThiran, Alessandro eDaducci
Publikováno v:
Frontiers in Neurology, Vol 5 (2014)
The main assumption of fiber-tracking algorithms is that fiber trajectories are represented by paths of highest diffusion, which is usually accomplished by following the principal diffusion directions estimated in every voxel from the measured diffus
Externí odkaz:
https://doaj.org/article/3dc4667fe91643a38a2fc31bb9e4e92c
The Connectome Viewer Toolkit: an open source framework to manage, analyze and visualize connectomes
Autor:
Stephan eGerhard, Alessandro eDaducci, Alia eLemkaddem, Reto eMeuli, Jean-Philippe eThiran, Patric eHagmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 5 (2011)
Abstract Advanced neuroinformatics tools are required for methods of connectome mapping, analysis and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration and sharing. We have desig
Externí odkaz:
https://doaj.org/article/ee3d9bb3c703448d9301449e96edef2f