Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification - Test2 - elhamkhani - TriplyDB

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

http://www.wikidata.org/entity/Q34183016

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Early-onset Alzheimer's disease: nonamnestic subtypes and type 2 AD Plasma and cerebrospinal fluid amyloid beta for the diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI)Meta-Review of CSF Core Biomarkers in Alzheimer's Disease: The State-of-the-Art after the New Revised Diagnostic Criteria The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer's Disease Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects CSF T-Tau/Aβ42 predicts white matter microstructure in healthy adults at risk for Alzheimer's disease Hierarchical 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 disease Prediction of conversion from mild cognitive impairment to Alzheimer disease based on bayesian data mining with ensemble learning.Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.A focus on structural brain imaging in the Alzheimer's disease neuroimaging initiative Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer's disease Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.Analysis of the MIRIAD Data Shows Sex Differences in Hippocampal Atrophy Progression.Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis Frequent and discriminative subnetwork mining for mild cognitive impairment classification.Latent feature representation with stacked auto-encoder for AD/MCI diagnosis Smoking and increased Alzheimer's disease risk: a review of potential mechanisms Integration of network topological and connectivity properties for neuroimaging classification.Pilot testing a couples-focused intervention for mild cognitive impairment.Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors A point-based tool to predict conversion from mild cognitive impairment to probable Alzheimer's disease.Subclass-based multi-task learning for Alzheimer's disease diagnosis Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.An MRI-derived definition of MCI-to-AD conversion for long-term, automatic prognosis of MCI patients.Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.Predicting progression of Alzheimer's disease using ordinal regression.Neurodegeneration across stages of cognitive decline in Parkinson disease.Age-related changes in human and non-human primate white matter: from myelination disturbances to cognitive decline.Aberrant hippocampal subregion networks associated with the classifications of aMCI subjects: a longitudinal resting-state study.

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

http://www.wikidata.org/entity/Q34183016

description

2010 nî lūn-bûn

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2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2010 թվականի հուլիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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type

label

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

@ast

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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J.NEUROBIOLAGING.2010.05.023

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Neurobiology of Aging

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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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Kayhan N Batmanghelich

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Leslie M Shaw

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Priyanka Bhatt

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P2860

Biological markers of amyloid beta-related mechanisms in Alzheimer's disease

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Atrophy rates accelerate in amnestic mild cognitive impairment.

Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.

Tracking Alzheimer's disease.

Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment

Total and phosphorylated tau protein as biological markers of Alzheimer's disease.

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging.

Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment

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