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 …
[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 …
Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive …
This work presents an automatically annotated fiber cluster (AAFC) method to enable
identification of anatomically meaningful white matter structures from the whole brain …
identification of anatomically meaningful white matter structures from the whole brain …
Individualized map of white matter pathways: connectivity-based paradigm for neurosurgical planning
B Tunç, M Ingalhalikar, D Parker, J Lecoeur… - …, 2016 - journals.lww.com
BACKGROUND: Advances in white matter tractography enhance neurosurgical planning
and glioma resection, but white matter tractography is limited by biological variables such as …
and glioma resection, but white matter tractography is limited by biological variables such as …
Automated tract extraction via atlas based adaptive clustering
Advancements in imaging protocols such as the high angular resolution diffusion-weighted
imaging (HARDI) and in tractography techniques are expected to cause an increase in the …
imaging (HARDI) and in tractography techniques are expected to cause an increase in the …
Parsimonious approximation of streamline trajectories in white matter fiber bundles
Fiber bundles stemming from tractography algorithms contain many streamlines. They
require therefore a great amount of computer memory and computational resources to be …
require therefore a great amount of computer memory and computational resources to be …
Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning
Diffusion magnetic resonance imaging (dMRI) tractography is a critical technique to map the
brain's structural connectivity. Accurate segmentation of white matter, particularly the …
brain's structural connectivity. Accurate segmentation of white matter, particularly the …
Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism
Fiber tract segmentation is a prerequisite for tract-based statistical analysis. Brain fiber
streamlines obtained by diffusion magnetic resonance imaging and tractography technology …
streamlines obtained by diffusion magnetic resonance imaging and tractography technology …
Accurate corresponding Fiber tract segmentation via FiberGeoMap learner
Fiber tract segmentation is a prerequisite for the tract-based statistical analysis and plays a
crucial role in understanding brain structure and function. The previous researches mainly …
crucial role in understanding brain structure and function. The previous researches mainly …
DFC: anatomically informed Fiber clustering with self-supervised deep learning for fast and effective Tractography Parcellation
White matter fiber clustering (WMFC) is an important strategy for white matter parcellation,
which enables quantitative analysis of white matter connections in health and disease …
which enables quantitative analysis of white matter connections in health and disease …