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An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan
This work presents an anatomically curated white matter atlas to enable consistent white
matter tract parcellation across different populations. Leveraging a well-established …
matter tract parcellation across different populations. Leveraging a well-established …
Interoperable atlases of the human brain
The last two decades have seen an unprecedented development of human brain map**
approaches at various spatial and temporal scales. Together, these have provided a large …
approaches at various spatial and temporal scales. Together, these have provided a large …
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation
White matter tract segmentation, ie identifying tractography fibers (streamline trajectories)
belonging to anatomically meaningful fiber tracts, is an essential step to enable tract …
belonging to anatomically meaningful fiber tracts, is an essential step to enable tract …
Map** population-based structural connectomes
Advances in understanding the structural connectomes of human brain require improved
approaches for the construction, comparison and integration of high-dimensional whole …
approaches for the construction, comparison and integration of high-dimensional whole …
Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering
There are two popular approaches for automated white matter parcellation using diffusion
MRI tractography, including fiber clustering strategies that group white matter fibers …
MRI tractography, including fiber clustering strategies that group white matter fibers …
[HTML][HTML] Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation
White matter fiber clustering is an important strategy for white matter parcellation, which
enables quantitative analysis of brain connections in health and disease. In combination …
enables quantitative analysis of brain connections in health and disease. In combination …
Diffusion mri with machine learning
D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …
capabilities including noninvasive probing of tissue microstructure and structural …
Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease
Characterizing brain changes in Alzheimer's disease (AD) is important for patient prognosis
and for assessing brain deterioration in clinical trials. In this diffusion weighted imaging …
and for assessing brain deterioration in clinical trials. In this diffusion weighted imaging …
[HTML][HTML] Neuro4Neuro: a neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
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 …
aging and neurodegeneration. To study these associations in more detail, it is highly …
White matter injury susceptibility via fiber strain evaluation using whole-brain tractography
W Zhao, JC Ford, LA Flashman… - Journal of …, 2016 - liebertpub.com
Microscale brain injury studies suggest axonal elongation as a potential mechanism for
diffuse axonal injury (DAI). Recent studies have begun to incorporate white matter (WM) …
diffuse axonal injury (DAI). Recent studies have begun to incorporate white matter (WM) …