ArticleMedical image analysis2017
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.
Article in Medical image analysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.IEEE transactions on medical imaging · 2019Article
- Vascular Abnormalities within Normal Appearing Tissue in Chronic Traumatic Brain Injury.Journal of neurotrauma · 2018Article
- An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data.Brain imaging and behavior · 2018Article
- Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries.Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop) · 2018Article
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Authors and funding
4 authors.
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Abstract
We present a method to estimate a multivariate Gaussian distribution of diffusion tensor features in a set of brain regions based on a small sample of healthy individuals, and use this distribution to identify imaging abnormalities in subjects with mild traumatic brain injury. The multivariate model receives apriori knowledge in the form of a neighborhood graph imposed on the precision matrix, which models brain region interactions, and an additional L
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Registered trials
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