Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

arXiv:2405.03328v1 Announce Type: new
Abstract: In this work, we introduce Brain Latent Progression (BrLP), a novel spatiotemporal disease progression model based on latent diffusion. BrLP is designed to predict the evolution of diseases at the individual level on 3D brain MRIs. Existing deep generative models developed for this task are primarily data-driven and face challenges in learning disease progressions. BrLP addresses these challenges by incorporating prior knowledge from disease models to enhance the accuracy of predictions. To implement this, we …

arxiv cs.ai cs.cv diffusion disease knowledge prior type via