Improved segmentation of white matter tracts with adaptive Riemannian metrics.
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Adaptive distance metric learning for diffusion tensor image segmentationSegmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.Quality Assurance using Outlier Detection on an Automatic Segmentation Method for the Cerebellar Peduncles.Bayesian Tractography Using Geometric Shape Priors.Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images.Surface-based vertexwise analysis of morphometry and microstructural integrity for white matter tracts in diffusion tensor imaging: With application to the corpus callosum in Alzheimer's disease.A Random Riemannian Metric for Probabilistic Shortest-Path Tractography
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P2860
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 25 October 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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name
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
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Improved segmentation of white matter tracts with adaptive Riemannian metrics.
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label
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
@en
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
@nl
prefLabel
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
@en
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
@nl
P2093
P2860
P1476
Improved segmentation of white matter tracts with adaptive Riemannian metrics.
@en
P2093
Kristen Zygmunt
P Thomas Fletcher
Ross T Whitaker
P2860
P304
P356
10.1016/J.MEDIA.2013.10.007
P577
2013-10-25T00:00:00Z