Prediction and classification of Alzheimer disease based on quantification of MRI deformation
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction and classification of Alzheimer disease based on quantification of MRI deformation
Authors
Keywords
Alzheimers disease, Central nervous system, Hippocampus, Amygdala, Cognitive impairment, Elderly, Geriatrics, Temporal lobe
Journal
PLoS One
Volume 12, Issue 3, Pages e0173372
Publisher
Public Library of Science (PLoS)
Online
2017-03-07
DOI
10.1371/journal.pone.0173372
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature-ranking-based Alzheimer’s disease classification from structural MRI
- (2016) Iman Beheshti et al. MAGNETIC RESONANCE IMAGING
- Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
- (2015) Elaheh Moradi et al. NEUROIMAGE
- An Optimal Decisional Space for the Classification of Alzheimer's Disease and Mild Cognitive Impairment
- (2014) Qi Zhou et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Prognostic classification of mild cognitive impairment and Alzheimer׳s disease: MRI independent component analysis
- (2014) Auriel A. Willette et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI
- (2014) Lene Lillemark et al. BMC MEDICAL IMAGING
- Increased oxygen extraction capacity in the basal ganglia and thalamus of people with Alzheimer's disease
- (2013) Simon Eskildsen et al. Alzheimers & Dementia
- An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment
- (2013) G. Spulber et al. JOURNAL OF INTERNAL MEDICINE
- How early can we predict Alzheimer's disease using computational anatomy?
- (2013) Stanisław Adaszewski et al. NEUROBIOLOGY OF AGING
- Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods
- (2013) Ramon Casanova et al. PLoS One
- Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairment
- (2013) Carlos Aguilar et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
- (2012) Eric Westman et al. NEUROIMAGE
- Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers
- (2012) Daoqiang Zhang et al. PLoS One
- Predicting Cognitive Decline in Subjects at Risk for Alzheimer Disease by Using Combined Cerebrospinal Fluid, MR Imaging, and PET Biomarkers
- (2012) Jennifer L. Shaffer et al. RADIOLOGY
- Direct comparison of fluorodeoxyglucose positron emission tomography and arterial spin labeling magnetic resonance imaging in Alzheimer's disease
- (2011) Erik S. Musiek et al. Alzheimers & Dementia
- Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease
- (2011) Juha Koikkalainen et al. NEUROIMAGE
- Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease
- (2011) Robin Wolz et al. PLoS One
- Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity
- (2011) Stéphane P. Poulin et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- High Dimensional Classification of Structural MRI Alzheimer?s Disease Data Based on Large Scale Regularization
- (2011) Ramon Casanova et al. Frontiers in Neuroinformatics
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
- (2010) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
- Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance
- (2010) Michael Ewers et al. NEUROBIOLOGY OF AGING
- Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
- (2009) Leslie M. Shaw et al. ANNALS OF NEUROLOGY
- Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve
- (2009) Olivier Querbes, Florent Aubry, Jérémie Pariente, Jean-Albert Lotterie, Jean-François Démonet, Véronique Duret, Michèle Puel, Isabelle Berry, Jean-Claude Fort et al. BRAIN
- Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI
- (2009) Marie Chupin et al. HIPPOCAMPUS
- Disease classification with hippocampal shape invariants
- (2009) Boris Gutman et al. HIPPOCAMPUS
- Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
- (2009) Emilie Gerardin et al. NEUROIMAGE
- Automatic classification of MR scans in Alzheimer's disease
- (2008) S. Kloppel et al. BRAIN
- MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
- (2008) Simon Duchesne et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆
- (2008) C MISRA et al. NEUROIMAGE
- Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI
- (2008) Benoît Magnin et al. NEURORADIOLOGY
- Discrimination between Alzheimer Disease, Mild Cognitive Impairment, and Normal Aging by Using Automated Segmentation of the Hippocampus
- (2008) Olivier Colliot et al. RADIOLOGY
- Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
- (2007) Prashanthi Vemuri et al. NEUROIMAGE
- Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
- (2007) Yong Fan et al. NEUROIMAGE
- MRI of hippocampus and entorhinal cortex in mild cognitive impairment: A follow-up study
- (2006) Tero Tapiola et al. NEUROBIOLOGY OF AGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now