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Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex
Typical cerebral cortical analyses rely on spatial normalization and are sensitive to misregistration arising from partial homologies between subject brains and local optima in nonlinear registration. In contrast, we use a descriptor of the 3D cortical sheet (jointly modeling folding and thickness)...
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| Publicado no: | Inf Process Med Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5794037/ https://ncbi.nlm.nih.gov/pubmed/29398876 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-59050-9_3 |
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