The microstructure of coal determines its mechanical behaviors under various loading
conditions. In this study, DEM models were proposed based on the grain-scale …

Nowadays, the most dynamic and safe imaging technique used in hospitals to diagnose is
magnetic resonance imaging (MRI). In clinical applications, such as follow-up of patients …

Under-sampling in diffusion-weighted imaging (DWI) decreases the scan time that helps to
reduce off-resonance effects, geometric distortions, and susceptibility artifacts; however, it …

Conjugate gradient-based SENSE (CG-SENSE) and compressed-sensing (CS) are well-
established techniques to accelerate magnetic resonance imaging (MRI) data acquisition …

Herein, we propose a novel model-based simultaneous multi-slice (SMS) reconstruction
method by exploiting data-driven parameter modeling for highly accelerated T1 parameter …

The fast and reliable processing of medical images is of paramount importance to
adequately generate data to feed machine learning algorithms that can prevent and …

Purpose K-space under-sampling reconstruction technology is an effective means to
improve the speed of magnetic resonance imaging. Among its many reconstruction …

This work aimed to explore the relationship between spine surgery lumbar facet joint (LFJ)
and lumbar disc herniation (LDH) via compressed sensing algorithm‐based MRI images to …

Digital image cryptography has the greatest priority with the rise and authenticity of the
multimodal data. Encryption is known to be a very critical step in the security of multimedia …

In order to accelerate magnetic resonance imaging (MRI) scanning, fast MRI technique
based on compressed sensing (CS) was proposed. The shrinkage thresholding algorithm …