Multi-parametric neuroimaging reproducibility: a 3-T resource study.
about
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 YearsThe topology of large Open Connectome networks for the human brain.101 labeled brain images and a consistent human cortical labeling protocolNeurological imaging: statistics behind the picturesReproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.Supervised learning technique for the automated identification of white matter hyperintensities in traumatic brain injury.Entorhinal Cortex Thickness across the Human LifespanOptimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR.The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)Test-retest reliability of brain morphology estimatesDisruption of functional organization within the primary motor cortex in children with autism.Systematic Redaction for Neuroimage Data.Tools for multiple granularity analysis of brain MRI data for individualized image analysisWhole brain myelin mapping using T1- and T2-weighted MR imaging data.Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRIMulti-atlas learner fusion: An efficient segmentation approach for large-scale data.Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm ParametersRobust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control.Effect of intrinsic and extrinsic factors on global and regional cortical thickness.Multi-contrast multi-atlas parcellation of diffusion tensor imaging of the human brainReconstruction of the human cerebral cortex robust to white matter lesions: method and validation.Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach.Next Generation of the Java Image Science Toolkit (JIST): Visualization and ValidationAssessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEXShrinkage prediction of seed-voxel brain connectivity using resting state fMRI.Direct segmentation of the major white matter tracts in diffusion tensor imagesWhen structure affects function--the need for partial volume effect correction in functional and resting state magnetic resonance imaging studies.Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimatorsMapping Individual Brain Networks Using Statistical Similarity in Regional Morphology from MRI.Using image synthesis for multi-channel registration of different image modalities.Tree-Encoded Conditional Random Fields for Image SynthesisComparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.Atlas-based analysis of resting-state functional connectivity: evaluation for reproducibility and multi-modal anatomy-function correlation studies.Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services.Reduced scan time three-dimensional FLAIR using modulated inversion and repetition time.Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging PlatformsSystem for integrated neuroimaging analysis and processing of structure.Regional brain hypometabolism is unrelated to regional amyloid plaque burden.On the Fallacy of Quantitative Segmentation for T1-Weighted MRI.Combining Multi-atlas Segmentation with Brain Surface Estimation.
P2860
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P2860
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@ast
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@en
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@nl
type
label
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@ast
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@en
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@nl
prefLabel
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@ast
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@en
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@nl
P2093
P2860
P1433
P1476
Multi-parametric neuroimaging reproducibility: a 3-T resource study.
@en
P2093
Alan J Huang
Aliya Gifford
Bennett A Landman
Deepti S Vikram
Issel Anne L Lim
James J Pekar
Jerry L Prince
John A Bogovic
Jonathan A D Farrell
P2860
P304
P356
10.1016/J.NEUROIMAGE.2010.11.047
P407
P577
2010-11-20T00:00:00Z