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Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels

An approach to study population differences in cerebral vasculature is proposed. This is done by 1) extending the concept of encoding cerebral blood vessel networks as spatial graphs and 2) quantifying graph similarity in a kernel-based discriminant classifier setup. We argue that augmenting graph v...

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Detalles Bibliográficos
Main Authors: Kwitt, Roland, Pace, Danielle, Niethammer, Marc, Aylward, Stephen
Formato: Artigo
Idioma:Inglês
Publicado: 2013
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4154378/
https://ncbi.nlm.nih.gov/pubmed/24579182
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