Noninvasively detecting and characterizing modulations in cellular scale micro-architecture
remains a desideratum for contemporary neuroimaging. Diffusion MRI (dMRI) has become …

We propose a framework to train supervised learning models on synthetic data to estimate
brain microstructure parameters using diffusion magnetic resonance imaging (dMRI) …

Microscopic diffusion anisotropy imaging using diffusion-weighted MRI and
multidimensional diffusion encoding is a promising method for quantifying clinically and …

It has become increasingly important for future business professionals to understand
statistical computing methods as data science has gained widespread use in contemporary …

Diffusion magnetic resonance imaging is sensitive to the microstructural properties of brain
tissue. However, estimating clinically and scientifically relevant microstructural properties …

Diffusion-weighted magnetic resonance imaging is sensitive to the microstructural properties
of brain tissue. However, estimating clinically and scientifically relevant microstructural …

This library, simDRIFT, provides for rapid and flexible Monte-Carlo simulations of Pulsed
Gradient Spin Echo (PGSE) Diffusion-Weighted Magnetic Resonance Imaging (DWI) …

Objective To study the origin of compartment size overestimation in double diffusion
encoding MRI (DDE) in vivo experiments in the human corticospinal tract. Here, the …

Noninvasively detecting and characterizing modulations in cellular scale micro-architecture
is a desideratum for contemporary neuroimaging. Diffusion MRI (dMRI) has become the …

Diffusion-weighted magnetic resonance imaging is routinely used for quantifying
microstructural properties of brain tissue in both health and disease for its ability to be …