Anatomical context improves deep learning on the brain age estimation task

Author:

Bermudez CamiloORCID,Plassard Andrew J.,Chaganti Shikha,Huo Yuankai,Aboud Katherine S.,Cutting Laurie E.,Resnick Susan M.,Landman Bennett A.

Funder

NSF

NIH

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference30 articles.

1. Guest editorial deep learning in medical imaging: overview and future promise of an exciting new technique;Greenspan;IEEE Trans Med Imaging,2016

2. Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?;Lemaitre;Neurobiol Aging,2012

3. Genetics of brain age suggest an overlap with common brain disorders;Kaufmann;bioRxiv,2018

4. T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance;Lewis;bioRxiv,2017

5. Predicting age using neuroimaging: innovative brain ageing biomarkers;Cole;Trends Neurosci,2017

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