Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions

Biological brain age predicted using machine learning models based on high‐resolution imaging data has been suggested as a potential biomarker for neurological and cerebrovascular diseases. In this work, we aimed to develop deep learning models to predict the biological brain age using structural ma...

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Detalles Bibliográficos
Autores principales: Mouches, Pauline, Wilms, Matthias, Rajashekar, Deepthi, Langner, Sönke, Forkert, Nils D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9057090/
https://www.ncbi.nlm.nih.gov/pubmed/35138012
http://dx.doi.org/10.1002/hbm.25805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9057090/
https://www.ncbi.nlm.nih.gov/pubmed/35138012
http://dx.doi.org/10.1002/hbm.25805

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