Romain Vo

Efficient Unrolled Networks for Large-Scale 3D Inverse Problems

Deep learning-based methods have revolutionized the field of imaging inverse problems, yielding state-of-the-art performance across various imaging domains. The best performing networks incorporate the imaging operator within the network architecture, typically in the form of deep unrolling. However