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

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

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

http://www.wikidata.org/entity/Q34402925

about

What do temporal lobe epilepsy and progressive mild cognitive impairment have in common?Why looking at the whole hippocampus is not enough-a critical role for anteroposterior axis, subfield and activation analyses to enhance predictive value of hippocampal changes for Alzheimer's disease diagnosis.Alliance for aging research AD biomarkers work group: structural MRI.Early detection of Alzheimer's disease using MRI hippocampal texture Individual subject classification of mixed dementia from pure subcortical vascular dementia based on subcortical shape analysis Multivariate models of inter-subject anatomical variability Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.Midlife managerial experience is linked to late life hippocampal morphology and function.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Online Learning for Classification of Alzheimer Disease based on Cortical Thickness and Hippocampal Shape Analysis.Diffusion tensor imaging reliably differentiates patients with schizophrenia from healthy volunteers.Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression.Statistical analysis of relative pose information of subcortical nuclei: application on ADNI data.Predicting clinical scores from magnetic resonance scans in Alzheimer's disease.Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.Back propagation artificial neural network for community Alzheimer's disease screening in China.Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease An efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features.Detection of volume loss in hippocampal layers in Alzheimer's disease using 7 T MRI: a feasibility study Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification An ensemble-of-classifiers based approach for early diagnosis of Alzheimer's disease: classification using structural features of brain images.Empowering imaging biomarkers of Alzheimer's disease A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease.Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders.A review of neuroimaging biomarkers of Alzheimer's disease.Automatic Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Structural Magnetic Resonance Imaging Multimodal classification of Alzheimer's disease and mild cognitive impairment.Evaluating Alzheimer's disease progression using rate of regional hippocampal atrophy.Early indications of future cognitive decline: stable versus declining controls Hippocampal shape analysis in Alzheimer's disease using functional data analysis.BrainPrint: a discriminative characterization of brain morphology Amyloid burden in cognitively normal elderly is associated with preferential hippocampal subfield volume loss.Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition Size and shape of the caudate nucleus in individuals with bipolar affective disorder.Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach.Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease.Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting A Bayesian model of shape and appearance for subcortical brain segmentation.

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

http://www.wikidata.org/entity/Q34402925

description

2009 nî lūn-bûn

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2009 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2009 թվականի մայիսին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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Multidimensional classificatio ...... impairment from normal aging.

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Multidimensional classificatio ...... impairment from normal aging.

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Multidimensional classificatio ...... impairment from normal aging.

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Multidimensional classificatio ...... impairment from normal aging.

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Multidimensional classificatio ...... impairment from normal aging.

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J.NEUROIMAGE.2009.05.036

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Multidimensional classificatio ...... impairment from normal aging.

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Béatrice Desgranges

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Emilie Gerardin

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Gaël Chételat

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Ho-Sung Kim

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Line Garnero

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Marc Niethammer

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Marie Chupin

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Olivier Colliot

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Rémi Cuingnet

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Stéphane Lehéricy

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P2860

Global prevalence of dementia: a Delphi consensus study

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

Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

A fast diffeomorphic image registration algorithm

Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM

Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria

Mild cognitive impairment as a diagnostic entity

Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies

Donepezil for the symptomatic treatment of patients with mild to moderate Alzheimer's disease: a meta-analysis of individual patient data from randomised controlled trials.

Elastic model-based segmentation of 3-D neuroradiological data sets.

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1476-1486

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10.1016/J.NEUROIMAGE.2009.05.036

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Francis Eustache

Alzheimer's Disease Neuroimaging Initiative

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2009-05-20T00:00:00Z

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1707.05961

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Alzheimer's disease

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3001345

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