Machine learning for predicting epileptic seizures using EEG signals: A review
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques,
researchers are striving towards employing these techniques for advancing clinical practice …
researchers are striving towards employing these techniques for advancing clinical practice …
[HTML][HTML] Superficial white matter: A review on the dMRI analysis methods and applications
The mapping of human brain connections is still an on going task. Unlike deep white matter
(DWM), which has been extensively studied and well documented, superficial white matter …
(DWM), which has been extensively studied and well documented, superficial white matter …
Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography
JD Schmahmann, DN Pandya, R Wang, G Dai… - Brain, 2007 - academic.oup.com
Understanding the long association pathways that convey cortical connections is a critical
step in exploring the anatomic substrates of cognition in health and disease. Diffusion tensor …
step in exploring the anatomic substrates of cognition in health and disease. Diffusion tensor …
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 …
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
The growth of multiparametric imaging protocols has paved the way for quantitative imaging
phenotypes that predict treatment response and clinical outcome, reflect underlying cancer …
phenotypes that predict treatment response and clinical outcome, reflect underlying cancer …
Automatic tractography segmentation using a high-dimensional white matter atlas
LJ O'Donnell, CF Westin - IEEE transactions on medical …, 2007 - ieeexplore.ieee.org
We propose a new white matter atlas creation method that learns a model of the common
white matter structures present in a group of subjects. We demonstrate that our atlas creation …
white matter structures present in a group of subjects. We demonstrate that our atlas creation …
Age-related decline in white matter tract integrity and cognitive performance: a DTI tractography and structural equation modeling study
AN Voineskos, TK Rajji, NJ Lobaugh, D Miranda… - Neurobiology of …, 2012 - Elsevier
Age-related decline in microstructural integrity of certain white matter tracts may explain
cognitive decline associated with normal aging. Whole brain tractography and a novel …
cognitive decline associated with normal aging. Whole brain tractography and a novel …
[HTML][HTML] Automated white matter fiber tract identification in patients with brain tumors
We propose a method for the automated identification of key white matter fiber tracts for
neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive …
neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive …
Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas
This paper presents a method for automatic segmentation of white matter fiber bundles from
massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas …
massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas …
Neuroimaging evidence for the deficit subtype of schizophrenia
Importance A major obstacle to the identification of the neurobiological correlates of
schizophrenia is the substantial clinical heterogeneity present in this disorder. Dividing …
schizophrenia is the substantial clinical heterogeneity present in this disorder. Dividing …
