A first-ever spinal cord imaging meeting was sponsored by the International Spinal
Research Trust and the Wings for Life Foundation with the aim of identifying the current state-of-the-…

The semantic image segmentation task consists of classifying each pixel of an image into an
instance, where each instance corresponds to a class. This task is a part of the concept of …

A first-ever spinal cord imaging meeting was sponsored by the International Spinal
Research Trust and the Wings for Life Foundation with the aim of identifying the current state-of-the-…

For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …

Perhaps more than any other “-omics” endeavor, the accuracy and level of detail obtained
from mapping the major connection pathways in the living human brain with diffusion MRI …

In diffusion MRI, simultaneous multi-slice single-shot EPI acquisitions have the potential to
increase the number of diffusion directions obtained per unit time, allowing more diffusion …

The engineering of a 3 T human MRI scanner equipped with 300 mT/m gradients – the
strongest gradients ever built for an in vivo human MRI scanner – was a major component of the …

Convolutional neural networks (CNNs) have been the consensus for medical image
segmentation tasks. However, they inevitably suffer from the limitation in modeling long-range …

The myelin g-ratio, defined as the ratio between the inner and the outer diameter of the
myelin sheath, is a fundamental property of white matter that can be computed from a simple …

Characterizing demyelination/degeneration of spinal pathways in traumatic spinal cord
injured (SCI) patients is crucial for assessing the prognosis of functional rehabilitation. Novel …