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Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age
Recent works have extensively investigated the possibility to predict brain aging from T1-weighted MRI brain scans. The main purposes of these studies are the investigation of subject-specific aging mechanisms and the development of accurate models for age prediction. Deviations between predicted an...
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| Gepubliceerd in: | Front Aging Neurosci |
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| Hoofdauteurs: | , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6538815/ https://ncbi.nlm.nih.gov/pubmed/31178715 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2019.00115 |
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