The ability to estimate how a tumor might evolve in the future could have tremendous clinical benefits, from improved treatment decisions better dose distribution radiation therapy. Recent work has approached glioma growth modeling problem via deep learning and variational inference, thus dynamics entirely real patient data distribution. So far, this approach was constrained predefined image ac...