Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals

BACKGROUND: Accurate parcellation of the cerebral cortex in an individual is a guide to its underlying organization. The most promising in vivo quantitative magnetic resonance (MR)-based microstructural cortical mapping methods are yet to achieve a level of parcellation accuracy comparable to quanti...

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Detalles Bibliográficos
Autores principales: Moinian, Shahrzad, Vegh, Viktor, Reutens, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977388/
https://www.ncbi.nlm.nih.gov/pubmed/35483706
http://dx.doi.org/10.1093/cercor/bhac155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977388/
https://www.ncbi.nlm.nih.gov/pubmed/35483706
http://dx.doi.org/10.1093/cercor/bhac155

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