Repeat-consistency learning for improving repeatability of brain-age prediction from structural MRI.
Structural magnetic resonance imaging (MRI)-based brain-age prediction is increasingly used as an imaging-derived marker of brain ageing, but good predictive accuracy does not guarantee stable estimates when the same individual is scanned repeatedly. This study proposes repeat-consistency learning (RCL), a training fra...