Diffusion models with continuous stochastic differential equations (SDEs) have shown
superior performances in image generation. It can serve as a deep generative prior to …

Purpose To enable robust, high spatio‐temporal‐resolution three‐dimensional Cartesian
MRI using a scheme incorporating a novel variable density random k‐space sampling …

A central limitation of multiple-acquisition magnetic resonance imaging (MRI) is the
degradation in scan efficiency as the number of distinct datasets grows. Sparse recovery …

In high-dimensional magnetic resonance imaging applications, time-consuming, sequential
acquisition of data samples in the spatial frequency domain (k-space) can often be …

Purpose The purpose of this work is to devise and demonstrate an encoding strategy for 3D
MRI that reconciles high speed with flexible segmentation, uniform k‐space density, and …

Radiology-based estimation of a living person's unknown age has recently attracted
increasing attention due to large numbers of undocumented immigrants entering Europe. To …

Purpose In MRI, the magnetization of nuclear spins is spatially encoded with linear gradients
and radiofrequency receivers sensitivity profiles to produce images, which inherently leads …

Modern magnetic resonance imaging (MRI) experiments require simultaneous spin and
spatial dynamics treatment. This paper aims to demonstrate the possibility of simulating a …

The field of magnetic resonance imaging (MRI) has developed rapidly over the past decade,
benefiting greatly from the newly developed framework of compressed sensing and its ability …

Modern reconstruction methods for magnetic resonance imaging (MRI) exploit the spatially
varying sensitivity profiles of receive-coil arrays as additional source of information. This …