Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.
about
Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study.Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury.Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma.Defining a multimodal signature of remote sports concussions.Assessing connectivity related injury burden in diffuse traumatic brain injury.A method to assess randomness of functional connectivity matrices.
P2860
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P2860
Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年學術文章
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2016年學術文章
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name
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@en
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@nl
type
label
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@en
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@nl
prefLabel
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@en
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@nl
P2093
P2860
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P1476
Detection of Mild Traumatic Br ...... ity and Fractional Anisotropy.
@en
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Andrew R Mayer
Kent A Kiehl
Victor M Vergara
P2860
P304
P356
10.1089/NEU.2016.4526
P577
2016-11-21T00:00:00Z