Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age

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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Bibliographic Details
Main Authors: Nicola Amoroso, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Annarita Fanizzi, Eufemia Lella, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
age prediction
brain
deep learning
lifespan
aging
structural MRI
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00115/full

Internet

https://www.frontiersin.org/article/10.3389/fnagi.2019.00115/full

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