Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study.
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Neurological imaging: statistics behind the picturesAnalysis of sampling techniques for imbalanced data: An n = 648 ADNI study.Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP DataMapping the basal ganglia alterations in children chronically exposed to manganeseHippocampal substructural vulnerability to sleep disturbance and cognitive impairment in patients with chronic primary insomnia: magnetic resonance imaging morphometry.Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry.Recent advances in imaging Alzheimer's disease.Diffeomorphic sulcal shape analysis on the cortexMulti-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization.Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease.Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometryGenetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N = 725 surface-based Alzheimer's disease neuroimaging initiative study.A multivariate surface-based analysis of the putamen in premature newborns: regional differences within the ventral striatum.Fast and accurate semi-automated segmentation method of spinal cord MR images at 3T applied to the construction of a cervical spinal cord templateA novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.Thicker temporal cortex associates with a developmental trajectory for psychopathic traits in adolescentsImpact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry.Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: detecting, quantifying, and predicting.Quantitative analysis of 3-dimensional facial soft tissue photographic images: technical methods and clinical application.Structural Brain Changes in Early-Onset Alzheimer's Disease Subjects Using the LONI Pipeline Environment.Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study.Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis.BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE.Surface fluid registration of conformal representation: application to detect disease burden and genetic influence on hippocampusMORPHOMETRIC ANALYSIS OF HIPPOCAMPUS AND LATERAL VENTRICLE REVEALS REGIONAL DIFFERENCE BETWEEN COGNITIVELY STABLE AND DECLINING PERSONS.Heritability of the shape of subcortical brain structures in the general population.Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.A T1 and DTI fused 3D corpus callosum analysis in MCI subjects with high and low cardiovascular risk profile.FGWAS: Functional genome wide association analysis.Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease.APPLYING SPARSE CODING TO SURFACE MULTIVARIATE TENSOR-BASED MORPHOMETRY TO PREDICT FUTURE COGNITIVE DECLINE.A T1 and DTI fused 3D Corpus Callosum analysis in pre- vs. post-season contact sports playersTowards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis.Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline.Ventricular shape and relative position abnormalities in preterm neonates.Morphological alterations in amygdalo-hippocampal substructures in narcolepsy patients with cataplexy.Diverse application of MRI for mouse phenotyping.
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Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@ast
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@en
type
label
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@ast
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@en
prefLabel
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@ast
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@en
P2093
P2860
P50
P1433
P1476
Surface-based TBM boosts power ...... he brain: an N=804 ADNI study.
@en
P2093
Boris Gutman
Krystal Liu
Priya Rajagopalan
Yalin Wang
Yi-Yu Chou
P2860
P304
P356
10.1016/J.NEUROIMAGE.2011.03.040
P407
P577
2011-03-23T00:00:00Z