Before revision:  Our method synthesises aged images using a network conditioned on two clinical variables: age as a continuous variable , and health state, i.e. status of Alzheimer's Disease (AD ) for this work, as an ordinal variable . We adopt an adversarial loss to learn the joint distribution of brain appearance  and clinical variables and define reconstruction losses that help preserve subject identity.
After revision:  Our method synthesises aged images using a network conditioned on two clinical variables: age as a continuous variable , and health state, i.e. status of Alzheimer's Disease (AD ) for this work, as an ordinal variable ). With an adversarial formulation we learn the joint distribution of brain appearance and clinical variables and define reconstruction losses that help preserve subject identity.