Cargando…
An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling
The deviation between chronological age and age predicted from neuroimaging data has been identified as a sensitive risk marker of cross-disorder brain changes, growing into a cornerstone of biological age research. However, machine learning models underlying the field do not consider uncertainty, t...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730629/ https://www.ncbi.nlm.nih.gov/pubmed/34985964 http://dx.doi.org/10.1126/sciadv.abg9471 |