2 code implementations • 25 Apr 2023 • Sizhuo Liu, Muhammad Shafique, Philip Schniter, Rizwan Ahmad
However, unlike traditional PnP approaches that utilize generic denoisers or train application-specific denoisers using high-quality images or image patches, ReSiDe directly trains the denoiser on the image or images that are being reconstructed from the undersampled data.
no code implementations • 18 Oct 2021 • Sizhuo Liu, Philip Schniter, Rizwan Ahmad
The proposed method, called recovery with a self-calibrated denoiser (ReSiDe), trains the denoiser from the patches of the image being recovered.
no code implementations • 8 Feb 2020 • Sizhuo Liu, Edward Reehorst, Philip Schniter, Rizwan Ahmad
We compare the reconstruction performance of PnP-DL to that of compressed sensing (CS) using eight breath-held and ten real-time (RT) free-breathing cardiac cine datasets.