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Riemannian Metric Optimization for Connectivity-driven Surface Mapping

With the advance of human connectome research, there are great interests in computing diffeomorphic maps of brain surfaces with rich connectivity features. In this paper, we propose a novel framework for connectivity-driven surface mapping based on Riemannian metric optimization on surfaces (RMOS) i...

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Vydáno v:Med Image Comput Comput Assist Interv
Hlavní autoři: Gahm, Jin Kyu, Shi, Yonggang
Médium: Artigo
Jazyk:Inglês
Vydáno: 2016
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5223768/
https://ncbi.nlm.nih.gov/pubmed/28083569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46720-7_27
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