Background Magnetic resonance imaging (MRI) is an effective auxiliary diagnostic method
in clinical medicine, but it has always suffered from the problem of long acquisition time …

Deep learning has shown astonishing performance in accelerated magnetic resonance
imaging (MRI). Most state-of-the-art deep learning reconstructions adopt the powerful …

In this article, we provide a detailed review of recent advances in the recovery of continuous-
domain multidimensional signals from their few nonuniform (multichannel) measurements …

Parallel magnetic resonance imaging has served as an effective and widely adopted
technique for accelerating data collection. The advent of sparse sampling offers aggressive …

Due to the capability of fast multiparametric quantitative imaging, magnetic resonance
fingerprinting (MRF) is becoming a promising quantitative magnetic resonance imaging …

In daily monitoring of structures instrumented with long‐term structural health monitoring
(SHM) systems, the acquired data is often corrupted with gross outliers due to hardware …

Voltage phase angle measurements are often unavailable from sensors in distribution
networks and transmission network boundaries. Therefore, this paper addresses the …

Purpose MUSSELS is a one‐step iterative reconstruction method for multishot diffusion
weighted (msDW) imaging. The current work presents an efficient implementation, termed …

With the dominance of digital imaging systems, we are often dealing with discrete-domain
samples of an analog image. Due to physical limitations, all imaging devices apply a …

The rapid increase in prostate cancer (PCa) patients is similar to that of benign prostatic
hyperplasia (BPH) patients, but the treatments are quite different. In this research, magnetic …