2019
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging
ICCV 2019accepted
We develop a conditional generative model for longitudinal image datasets based on sequential invertible neural networks. Longitudinal image acquisitions are common in various scientific and biomedical studies where often each image sequence sample may also come together with various secondary (fixe…