Artificial neural networks for non-linear age correction of diffusion metrics in the brain

Human aging is characterized by progressive loss of physiological functions. To assess changes in the brain that occur with increasing age, the concept of brain aging has gained momentum in neuroimaging with recent advancements in statistical regression and machine learning (ML). A common technique...

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Detalles Bibliográficos
Autores principales: Kocar, Thomas D., Behler, Anna, Leinert, Christoph, Denkinger, Michael, Ludolph, Albert C., Müller, Hans-Peter, Kassubek, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632350/
https://www.ncbi.nlm.nih.gov/pubmed/36337697
http://dx.doi.org/10.3389/fnagi.2022.999787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632350/
https://www.ncbi.nlm.nih.gov/pubmed/36337697
http://dx.doi.org/10.3389/fnagi.2022.999787

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