Multi-channel Attention-Fusion Neural Network for Brain Age Estimation: Accuracy, Generality, and Interpretation with 16,705 Healthy MRIs across Lifespan

Brain age estimated by machine learning from T1-weighted magnetic resonance images (T1w MRIs) can reveal how brain disorders alter brain aging and can help in the early detection of such disorders. A fundamental step is to build an accurate age estimator from healthy brain MRIs. We focus on this ste...

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Bibliographic Details
Published in:Med Image Anal
Main Authors: He, Sheng, Pereira, Diana, Perez, Juan David, Gollub, Randy L., Murphy, Shawn N., Prabhu, Sanjay, Pienaar, Rudolph, Robertson, Richard L., Grant, P. Ellen, Ou, Yangming
Format: Artigo
Language:Inglês
Published: 2021
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8316301/
https://ncbi.nlm.nih.gov/pubmed/34038818
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2021.102091
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