From a deep learning model back to the brain—Identifying regional predictors and their relation to aging

We present a Deep Learning framework for the prediction of chronological age from structural magnetic resonance imaging scans. Previous findings associate increased brain age with neurodegenerative diseases and higher mortality rates. However, the importance of brain age prediction goes beyond servi...

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Detalles Bibliográficos
Autores principales: Levakov, Gidon, Rosenthal, Gideon, Shelef, Ilan, Raviv, Tammy Riklin, Avidan, Galia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426775/
https://www.ncbi.nlm.nih.gov/pubmed/32320123
http://dx.doi.org/10.1002/hbm.25011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426775/
https://www.ncbi.nlm.nih.gov/pubmed/32320123
http://dx.doi.org/10.1002/hbm.25011

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