most citedPredicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks

9 citations · 15 across the 5 of their papers we have counts for

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cs.LG2021★ 1 cited

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling

Tim Hahn, Jan Ernsting, Nils R. Winter +31

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 corn…