NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
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UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer.Whole brain analyses of age-related microstructural changes quantified using different diffusional magnetic resonance imaging methods.NODDI-DTI: Estimating Neurite Orientation and Dispersion Parameters from a Diffusion Tensor in Healthy White Matter.
P2860
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
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2016 nî lūn-bûn
@nan
2016 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
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NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
@ast
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
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label
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
@nl
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
@ast
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
@en
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NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
@nl
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
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NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.
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NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
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P2093
Chris A Clark
Gary H Zhang
P2860
P304
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P356
10.1371/JOURNAL.PONE.0153404
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P577
2016-04-14T00:00:00Z