70 citations · 95 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Andrew Wang, Steven McDonagh, Mike Davies
Reconstructing MRI from highly undersampled measurements is crucial for accelerating medical imaging, but is challenging due to the ill-posedness of the inverse problem. While supe…
cs.IT2017★ 25 cited
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing
Gabor Hannak, Alessandro Perelli, Norbert Goertz +2
Bayesian approximate message passing (BAMP) is an efficient method in compressed sensing that is nearly optimal in the minimum mean squared error (MMSE) sense. Bayesian approximate…
cs.IT2014★ 70 cited
Near optimal compressed sensing without priors: Parametric SURE Approximate Message Passing
Chunli Guo, Mike E. Davies
Both theoretical analysis and empirical evidence confirm that the approximate message passing (AMP) algorithm can be interpreted as recursively solving a signal denoising problem:…