527 citations · 3.5k across the 52 of their papers we have counts for
5 papers · 1 filter
Surface Coil Intensity Correction for MRI
Xuan Lei, Philip Schniter, Chong Chen +2
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, dif…
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
Accelerated magnetic resonance (MR) imaging attempts to reduce acquisition time by collecting data below the Nyquist rate. As an ill-posed inverse problem, many plausible solutions…
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
Muhammad Shafique, Sizhuo Liu, Philip Schniter +1
Objective: Acquiring fully sampled training data is challenging for many MRI applications. We present a self-supervised image reconstruction method, termed ReSiDe, capable of recov…
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler +1
To solve inverse problems, plug-and-play (PnP) methods replace the proximal step in a convex optimization algorithm with a call to an application-specific denoiser, often implement…
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…