Philippe Valmaggia

Deep generative models for enhanced vitreous OCT imaging

Abstract The aim of the work is to evaluate deep learning (DL) models for enhancing vitreous optical coherence tomography (OCT) image quality and potentially reducing acquisition time. Conditional Denoising Diffusion Probabilistic Models (cDDPMs), Brownian Bridge Diffusion Models...