78 citations · 125 across the 7 of their papers we have counts for
3 papers · 1 filter
Memory-efficient Learning for Large-scale Computational Imaging
Michael Kellman, Kevin Zhang, Jon Tamir +3
Critical aspects of computational imaging systems, such as experimental design and image priors, can be optimized through deep networks formed by the unrolled iterations of classic…
General Phase Regularized Reconstruction using Phase Cycling
Frank Ong, Joseph Cheng, Michael Lustig
Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: T…
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
Patrick Virtue, Stella X. Yu, Michael Lustig
The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI signals. The prevalent approach is dictionary based, where a test MRI signal is compared to…