Learning to synthesise the ageing brain without longitudinal data

Understand

How will my face look when I get older? Or, for a more challenging question: How will my brain look when I get older? To answer this question one must devise (and learn from data) a multivariate auto-regressive function which given an image and a desired target age generates an output image.

• While collecting data for faces may be easier, collecting longitudinal brain data is not trivial.
• We propose a deep learning-based method that learns to simulate subject-specific brain ageing trajectories without relying on longitudinal data.
• Our method synthesises images conditioned on two factors: age (a continuous variable), and status of Alzheimer's Disease (AD, an ordinal variable).