Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age

Recent works have extensively investigated the possibility to predict brain aging from T1-weighted MRI brain scans. The main purposes of these studies are the investigation of subject-specific aging mechanisms and the development of accurate models for age prediction. Deviations between predicted an...

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Detalles Bibliográficos
Publicado en:Front Aging Neurosci
Autores principales: Amoroso, Nicola, La Rocca, Marianna, Bellantuono, Loredana, Diacono, Domenico, Fanizzi, Annarita, Lella, Eufemia, Lombardi, Angela, Maggipinto, Tommaso, Monaco, Alfonso, Tangaro, Sabina, Bellotti, Roberto
Formato: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6538815/
https://ncbi.nlm.nih.gov/pubmed/31178715
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2019.00115
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