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Anatomical Predictions using Subject-Specific Medical Data

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Document pages: 4 pages

Abstract: Changes over time in brain anatomy can provide important insight fortreatment design or scientific analyses. We present a method that predicts howa brain MRI for an individual will change over time. We model changes using adiffeomorphic deformation field that we predict using function usingconvolutional neural networks. Given a predicted deformation field, a baselinescan can be warped to give a prediction of the brain scan at a future time. Wedemonstrate the method using the ADNI cohort, and analyze how performance isaffected by model variants and the subject-specific information provided. Weshow that the model provides good predictions and that external clinical datacan improve predictions.

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