Why has diffusion MRI become a principal modality for map** connectomes in vivo? How
do different image acquisition parameters, fiber tracking algorithms and other …

The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …

Purpose To develop a super‐resolution technique using convolutional neural networks for
generating thin‐slice knee MR images from thicker input slices, and compare this method …

Microstructure imaging from diffusion magnetic resonance (MR) data represents an
invaluable tool to study non-invasively the morphology of tissues and to provide a biological …

Tractography based on diffusion MRI offers the promise of characterizing many aspects of
long-distance connectivity in the brain, but requires quantitative validation to assess its …

Diffusion MRI tractography processing pipeline requires a large number of steps (typically
20+ steps). If parameters of these steps, number of threads, and random seed generators …

Hidden beneath the Sylvian fissure and sometimes considered as the fifth lobe of the brain,
the insula plays a multi-modal role from its strategic location. Previous structural studies …

A joint and integrated analysis of multi-site diffusion MRI (dMRI) datasets can dramatically
increase the statistical power of neuroimaging studies and enable comparative studies …

This paper introduces a new computational imaging technique called image quality transfer
(IQT). IQT uses machine learning to transfer the rich information available from one-off …

Axonal conduction velocity, which ensures efficient function of the brain network, is related to
axon diameter. Noninvasive, in vivo axon diameter estimates can be made with diffusion …