IFML Seminar: 04/17/26 - Learning and guidance approaches for generative and physics-driven models in computational MRI

Abstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, computational MRI techniques for reconstruction from sub-sampled noisy data have received great...