9 citations · 10 across the 4 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…
eess.IV2021★ 9 cited
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
Lukas Fisch, Jan Ernsting, Nils R. Winter +33
Age prediction based on Magnetic Resonance Imaging (MRI) data of the brain is a biomarker to quantify the progress of brain diseases and aging. Current approaches rely on preparing…