Subtle changes in white matter (WM) microstructure have been associated with normal
aging and neurodegeneration. To study these associations in more detail, it is highly …

Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to
white matter tract structural integrity and neurodegeneration. As a consequence, there is a …

Purpose Mapping brain white matter (WM) is essential for building an understanding of brain
anatomy and function. Tractography‐based methods derived from diffusion‐weighted MRI …

Convolutional neural networks have achieved state-of-the-art performance for white matter
(WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However …

Understanding how ageing affects brain structure is an important challenge for medical
science. By allowing segmentation of fasciculi-of-interest from diffusion magnetic resonance …

The individual course of white matter fiber tracts is an important factor for analysis of white
matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography …

White matter tract segmentation, ie identifying tractography fibers (streamline trajectories)
belonging to anatomically meaningful fiber tracts, is an essential step to enable tract …

The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …

Neuroscience is increasingly focusing on developmental factors related to human structural
and functional connectivity. Unfortunately, to date, diffusion-based imaging approaches …

We present a deep learning tractography segmentation method that allows fast and
consistent white matter fiber tract identification across healthy and disease populations and …