An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan

F Zhang, Y Wu, I Norton, L Rigolo, Y Rathi, N Makris… - Neuroimage, 2018 - Elsevier
This work presents an anatomically curated white matter atlas to enable consistent white
matter tract parcellation across different populations. Leveraging a well-established …

Interoperable atlases of the human brain

K Amunts, MJ Hawrylycz, DC Van Essen, JD Van Horn… - Neuroimage, 2014 - Elsevier
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 …

Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation

F Zhang, SC Karayumak, N Hoffmann, Y Rathi… - Medical image …, 2020 - Elsevier
White matter tract segmentation, ie identifying tractography fibers (streamline trajectories)
belonging to anatomically meaningful fiber tracts, is an essential step to enable tract …

Map** population-based structural connectomes

Z Zhang, M Descoteaux, J Zhang, G Girard… - NeuroImage, 2018 - Elsevier
Advances in understanding the structural connectomes of human brain require improved
approaches for the construction, comparison and integration of high-dimensional whole …

Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

F Zhang, Y Wu, I Norton, Y Rathi, AJ Golby… - Human brain …, 2019 - Wiley Online Library
There are two popular approaches for automated white matter parcellation using diffusion
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

Y Chen, C Zhang, T Xue, Y Song, N Makris, Y Rathi… - NeuroImage, 2023 - Elsevier
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 …

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 …

Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease

TM Nir, JE Villalon-Reina, G Prasad, N Jahanshad… - Neurobiology of …, 2015 - Elsevier
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 …

[HTML][HTML] Neuro4Neuro: a neural network approach for neural tract segmentation using large-scale population-based diffusion imaging

B Li, M De Groot, RME Steketee, R Meijboom, M Smits… - Neuroimage, 2020 - Elsevier
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 …

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) …