Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging deviate from their typical trajectories. MRI-derived brain age (BA) estimates are often obtained using deep learning models tha...

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Detalles Bibliográficos
Autores principales: Yin, Chenzhong, Imms, Phoebe, Cheng, Mingxi, Amgalan, Anar, Chowdhury, Nahian F., Massett, Roy J., Chaudhari, Nikhil N., Chen, Xinghe, Thompson, Paul M., Bogdan, Paul, Irimia, Andrei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926270/
https://www.ncbi.nlm.nih.gov/pubmed/36595679
http://dx.doi.org/10.1073/pnas.2214634120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926270/
https://www.ncbi.nlm.nih.gov/pubmed/36595679
http://dx.doi.org/10.1073/pnas.2214634120

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