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Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment
Typical studies of the geometry of the cerebral cortical structure focus on either cortical folding or thickness. They rely on spatial normalization, but use cortical descriptors that are sensitive to misregistration arising from the well-known problems of partial homologies between subject brains a...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5240952/ https://ncbi.nlm.nih.gov/pubmed/28105471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46720-7_28 |
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