Methods for identifying subject-specific abnormalities in neuroimaging data.
about
Advanced neuroimaging applied to veterans and service personnel with traumatic brain injury: state of the art and potential benefits.A review of neuroimaging findings in repetitive brain trauma.Fractional anisotropy in individuals with schizophrenia and their nonpsychotic siblings.Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method.The nature of white matter abnormalities in blast-related mild traumatic brain injuryStatic and Dynamic Intrinsic Connectivity following Mild Traumatic Brain Injury.Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data.Combined Diffusion Tensor and Magnetic Resonance Spectroscopic Imaging Methodology for Automated Regional Brain Analysis: Application in a Normal Pediatric Population.Inter-Subject Variability of Axonal Injury in Diffuse Traumatic Brain Injury.Longitudinal assessment of white matter abnormalities following sports-related concussion.Bidirectional Changes in Anisotropy Are Associated with Outcomes in Mild Traumatic Brain Injury.White matter abnormalities in mild traumatic brain injury with and without post-traumatic stress disorder: a subject-specific diffusion tensor imaging study.PTSD confounds detection of compromised cerebral white matter integrity in military veterans reporting a history of mild traumatic brain injury.Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.Neuropsychological Recovery Trajectories in Moderate to Severe Traumatic Brain Injury: Influence of Patient Characteristics and Diffuse Axonal Injury.Assessing connectivity related injury burden in diffuse traumatic brain injury.Spatial distribution bias in subject-specific abnormalities analyses.
P2860
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P2860
Methods for identifying subject-specific abnormalities in neuroimaging data.
description
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2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
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2014年の論文
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name
Methods for identifying subject-specific abnormalities in neuroimaging data.
@ast
Methods for identifying subject-specific abnormalities in neuroimaging data.
@en
type
label
Methods for identifying subject-specific abnormalities in neuroimaging data.
@ast
Methods for identifying subject-specific abnormalities in neuroimaging data.
@en
prefLabel
Methods for identifying subject-specific abnormalities in neuroimaging data.
@ast
Methods for identifying subject-specific abnormalities in neuroimaging data.
@en
P2093
P2860
P356
P1433
P1476
Methods for identifying subject-specific abnormalities in neuroimaging data.
@en
P2093
Andrew Dodd
Andrew R Mayer
Edward J Bedrick
Josef M Ling
Trent Toulouse
P2860
P304
P356
10.1002/HBM.22563
P577
2014-06-13T00:00:00Z