  Changes over time in brain anatomy can provide important insight for
treatment design or scientific analyses. We present a method that predicts how
a brain MRI for an individual will change over time. We model changes using a
diffeomorphic deformation field that we predict using function using
convolutional neural networks. Given a predicted deformation field, a baseline
scan can be warped to give a prediction of the brain scan at a future time. We
demonstrate the method using the ADNI cohort, and analyze how performance is
affected by model variants and the subject-specific information provided. We
show that the model provides good predictions and that external clinical data
can improve predictions.
