Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression

Volume: 219, Pages: 116938 - 116938
Published: Oct 1, 2020
Abstract
Prediction of subject age from brain anatomical MRI has the potential to provide a sensitive summary of brain changes, indicative of different neurodegenerative diseases. However, existing studies typically neglect the uncertainty of these predictions. In this work we take into account this uncertainty by applying methods of functional data analysis. We propose a penalised functional quantile regression model of age on brain structure with...
Paper Details
Title
Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression
Published Date
Oct 1, 2020
Journal
Volume
219
Pages
116938 - 116938
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