Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion.
about
Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014Meta-Review of CSF Core Biomarkers in Alzheimer's Disease: The State-of-the-Art after the New Revised Diagnostic CriteriaA Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer's DiseaseIndividualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjectsHierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.Latent information in fluency lists predicts functional decline in persons at risk for Alzheimer diseaseWhite matter abnormalities associated with Alzheimer's disease and mild cognitive impairment: a critical review of MRI studies.A focus on structural brain imaging in the Alzheimer's disease neuroimaging initiativeTheHiveDB image data management and analysis framework.Multimodality imaging of Alzheimer disease and other neurodegenerative dementias2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.Structural Neuroimaging of the Medial Temporal Lobe in Alzheimer's Disease Clinical Trials.Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's DiseaseLatent feature representation with stacked auto-encoder for AD/MCI diagnosisApplication of a MRI based index to longitudinal atrophy change in Alzheimer disease, mild cognitive impairment and healthy older individuals in the AddNeuroMed cohort.Initial cognitive decline is associated with cortical thinning in early Parkinson disease.Subclass-based multi-task learning for Alzheimer's disease diagnosisPredicting progression of Alzheimer's disease using ordinal regression.The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer's disease.Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis.Plasma based markers of [11C] PiB-PET brain amyloid burden.Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness.Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.CSF and brain structural imaging markers of the Alzheimer's pathological cascade.Framingham Coronary Heart Disease Risk Score Can be Predicted from Structural Brain Images in Elderly Subjects.Integrated cortical structural marker for Alzheimer's disease.BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease.Automatic ROI selection in structural brain MRI using SOM 3D projection.Imaging biomarkers associated with cognitive decline: a review.Brain activity classifies adolescents with and without a familial history of substance use disorders.Atrophic Patterns of the Frontal-Subcortical Circuits in Patients with Mild Cognitive Impairment and Alzheimer's Disease.Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive ImpairmentEvaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool.Cerebrospinal Fluid P-Tau181P: Biomarker for Improved Differential Dementia Diagnosis.Domain Transfer Learning for MCI Conversion Prediction.Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairmentAutomated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts.
P2860
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P2860
Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Combining MRI and CSF measures ...... gnitive impairment conversion.
@en
Combining MRI and CSF measures ...... gnitive impairment conversion.
@nl
type
label
Combining MRI and CSF measures ...... gnitive impairment conversion.
@en
Combining MRI and CSF measures ...... gnitive impairment conversion.
@nl
prefLabel
Combining MRI and CSF measures ...... gnitive impairment conversion.
@en
Combining MRI and CSF measures ...... gnitive impairment conversion.
@nl
P1433
P1476
Combining MRI and CSF measures ...... gnitive impairment conversion.
@en
P2093
Andrew Simmons
J-Sebastian Muehlboeck
P304
P356
10.1016/J.NEUROIMAGE.2012.04.056
P407
P50
P577
2012-05-03T00:00:00Z