29 citations · 31 across the 5 of their papers we have counts for
10 papers
MRI Recovery with A Self-calibrated Denoiser
Sizhuo Liu, Philip Schniter, Rizwan Ahmad
Plug-and-play (PnP) methods that employ application-specific denoisers have been proposed to solve inverse problems, including MRI reconstruction. However, training application-spe…
Calibrationless MRI Reconstruction with a Plug-in Denoiser
Shen Zhao, Lee C. Potter, Rizwan Ahmad
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides excellent soft-tissue contrast without using ionizing radiation. MRI's clinical application may be…
Automatic image-based respiratory signal extraction in real-time CMR
Chong Chen, Yingmin Liu, Orlando P. Simonetti +1
Purpose: To develop a fully automatic method for extraction and directionality determination of respiratory signal in free-breathing, real-time (RT) cardiac MRI. Methods: The respi…
Autotuning Plug-and-Play Algorithms for MRI
Saurav K. Shastri, Rizwan Ahmad, Philip Schniter
For magnetic resonance imaging (MRI), recently proposed "plug-and-play" (PnP) image recovery algorithms have shown remarkable performance. These PnP algorithms are similar to tradi…
MRI Image Recovery using Damped Denoising Vector AMP
Subrata Sarkar, Rizwan Ahmad, Philip Schniter
Motivated by image recovery in magnetic resonance imaging (MRI), we propose a new approach to solving linear inverse problems based on iteratively calling a deep neural-network, so…
OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging
Chong Chen, Yingmin Liu, Philip Schniter +5
Cardiovascular MRI (CMR) is a non-invasive imaging modality that provides excellent soft-tissue contrast without the use of ionizing radiation. Physiological motions and limited sp…