Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI

No abstract is available for this paper.

• Publication year

  2008

• Venue

  NeuroImage

• Publication date

  2008-07-15

• Fields of study

  Medicine, Computer Science, Psychology

• Identifiers
  DOI 10.1016/j.neuroimage.2008.03.050PMID 18474436PMCID PMC2528893
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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

  2008influential reference
• Detection of prodromal Alzheimer's disease

  2008cited by this paper
• Automatic classification of MR scans in Alzheimer's disease.

  2008influential reference
• Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.

  2008cited by this paper
• Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

  2008cited by this paper
• Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls.

  2008cited by this paper
• COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

  2007cited by this paper
• FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease.

  2007influential reference
• Measurements of the amygdala and hippocampus in pathologically confirmed Alzheimer disease and frontotemporal lobar degeneration.

  2006cited by this paper
• Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia.

  2006influential reference
• Frontotemporal dementia: Clinicopathological correlations

  2006cited by this paper
• Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly

  2005cited by this paper
• Different patterns of magnetic resonance imaging atrophy for frontotemporal lobar degeneration syndromes.

  2005cited by this paper
• Visual assessment of atrophy on magnetic resonance imaging in the diagnosis of pathologically confirmed young-onset dementias.

  2005cited by this paper
• Magnetic resonance imaging signatures of tissue pathology in frontotemporal dementia.

  2005cited by this paper
• Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

  2005cited by this paper
• Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM

  2005cited by this paper
• A voxel-based morphometry study of patterns of brain atrophy in ALS and ALS/FTLD

  2005cited by this paper
• Antemortem diagnosis of frontotemporal lobar degeneration

  2005cited by this paper
• MRI predictors of risk of incident Alzheimer disease

  2005cited by this paper
• Imaging cerebral atrophy: normal ageing to Alzheimer's disease.

  2004cited by this paper
• Clinicopathological correlates in frontotemporal dementia

  2004cited by this paper
• A comparison of classification methods for differentiating fronto‐temporal dementia from Alzheimer's disease using FDG‐PET imaging

  2004cited by this paper
• Advances in the early detection of Alzheimer's disease

  2004cited by this paper
• Morphological classification of brains via high-dimensional shape transformations and machine learning methods

  2004cited by this paper
• For Personal Use. Only Reproduce with Permission from the Lancet Publishing Group. Computer-assisted Imaging to Assess Brain Structure in Healthy and Diseased Brains

  2003cited by this paper
• Differential associations between entorhinal and hippocampal volumes and memory performance in older adults.

  2003cited by this paper
• Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain

  2003influential reference
• Early diagnosis of alzheimer's disease: contribution of structural neuroimaging

  2003cited by this paper
• What's in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer's disease, frontotemporal dementia and corticobasal degeneration.

  2003cited by this paper
• Diagnostic patterns of regional atrophy on MRI and regional cerebral blood flow change on SPECT in young onset patients with Alzheimer's disease, frontotemporal dementia and vascular dementia

  2002cited by this paper
• HAMMER: hierarchical attribute matching mechanism for elastic registration

  2002cited by this paper
• Discriminative Analysis for Image-Based Studies

  2002cited by this paper
• Patterns of brain atrophy in frontotemporal dementia and semantic dementia

  2002cited by this paper
• Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease

  2001cited by this paper
• Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy

  2001cited by this paper
• Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.

  2001cited by this paper
• MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer's disease.

  2001cited by this paper
• Clinical and pathological diagnosis of frontotemporal dementia: report of the Work Group on Frontotemporal Dementia and Pick's Disease.

  2001cited by this paper
• Hippocampal formation glucose metabolism and volume losses in MCI and AD.

  2001cited by this paper
• One-year age changes in MRI brain volumes in older adults.

  2000cited by this paper
• Transplantation of cultured human neuronal cells for patients with stroke

  2000cited by this paper
• Diagnosis of Alzheimer's disease: MRI of the hippocampus vs delayed recall.

  2000cited by this paper
• Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD

  2000cited by this paper
• Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease

  2000cited by this paper
• Longitudinal changes in MRI volumes in older adults

  2000cited by this paper
• Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment

  1999cited by this paper
• MRI of entorhinal cortex in mild Alzheimer's disease.

  1999cited by this paper
• An image-processing system for qualitative and quantitative volumetric analysis of brain images.

  1998cited by this paper
• Evolution of Alzheimer's disease related cortical lesions.

  1998cited by this paper
• Volumes of medial temporal lobe structures in patients with Alzheimer's disease and mild cognitive impairment (and in healthy controls).

  1998cited by this paper
• Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease

  1997cited by this paper
• Frequency of hippocampal formation atrophy in normal aging and Alzheimer's disease.

  1997cited by this paper
• Alzheimer’s Disease: In Vivo Detection of Differential Vulnerability of Brain Regions

  1997cited by this paper
• Specific hippocampal volume reductions in individuals at risk for Alzheimer's disease.

  1997cited by this paper
• Linear measures of atrophy in mild Alzheimer disease.

  1996cited by this paper
• Volumes of hippocampus, amygdala and frontal lobes in the MRI-based diagnosis of early Alzheimer's disease: Correlation with memory functions

  1995cited by this paper
• Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease.

  1994cited by this paper
• Hippocampal atrophy in normal aging. An association with recent memory impairment.

  1993cited by this paper
• Amygdala atrophy in Alzheimer's disease. An in vivo magnetic resonance imaging study.

  1993cited by this paper
• Temporal lobe regions on magnetic resonance imaging identify patients with early Alzheimer's disease.

  1993cited by this paper
• Clinical diagnosis of Alzheimer's disease

  1984cited by this paper
• NeuroImage

  year unknowncited by this paper

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• The complementary role of automated brain volumetry to stratify ADNI participants within the ATN framework

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• Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia From Electroencephalography Signals

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• Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers.

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• Comparative analysis of different brain regions using machine learning for prediction of EMCI and LMCI stages of Alzheimer’s disease

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• Plasma proteins related to inflammatory diet predict future cognitive impairment

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• Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques

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• Alzheimer’s Disease Detection: A Deep Learning-Based Approach

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• An efficient method for detection of Alzheimer’s disease using high-dimensional PET scan images

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• A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm

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• Machine Learning-Based Classification of Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer's Dementia Using Neuroimage and Plasma Biomarkers.

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• The changing landscape of neuroimaging in frontotemporal lobar degeneration: from group-level observations to single-subject data interpretation

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• Distribution and inter-regional relationship of amyloid-beta plaque deposition in a 5xFAD mouse model of Alzheimer’s disease

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• Using SVM for Alzheimer’s Disease detection from 3D T1MRI

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• Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia

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• Dementia classification using MR imaging and clinical data with voting based machine learning models

  2022cites this paper
• Alzheimer’s disease: a scoping review of biomarker research and development for effective disease diagnosis

  2022influential citation
• White matter microstructure alterations in frontotemporal dementia: Phenotype‐associated signatures and single‐subject interpretation

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• Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia

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• A Reproducible Deep-Learning-Based Computer-Aided Diagnosis Tool for Frontotemporal Dementia Using MONAI and Clinica Frameworks

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• A review on Alzheimer's Disease Classification from Normal Controls and Mild Cognitive Impairment using structural MR Images.

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• Relationship Between Alzheimer’s Disease and Retinal Choroidal Thickness: A Cross-Sectional Study

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• Heuristic scoring method utilizing FDG-PET statistical parametric mapping in the evaluation of suspected Alzheimer disease and frontotemporal lobar degeneration.

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• Aptamer Detection of Neurodegenerative

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• Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

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• Pinball Loss Twin Support Vector Clustering

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• Final Degree Project Biomedical Engineering Degree “Machine learning approaches for the study of AD with brain MRI data”

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• Advances in computerized MRI‐based biomarkers in Alzheimer’s disease

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• Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network

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• Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review

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• A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging

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• Olfactory dysfunction in frontotemporal dementia and psychiatric disorders: A systematic review.

  2020cites this paper
• Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

  2020cites this paper
• Alzheimer's Disease Detection Using CNN Based on Effective Dimensionality Reduction Approach

  2020cites this paper
• Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

  2020cites this paper
• Linear methods for classification

  2020cites this paper
• Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

  2020cites this paper
• Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges

  2020cites this paper
• Analysis of Biomedical Image for Alzheimer's Disease Detection

  2020cites this paper
• Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases

  2020cites this paper
• Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps.

  2020cites this paper
• A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder.

  2020cites this paper
• In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies.

  2019cites this paper
• Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease

  2019influential citation
• Biomarcadores asequibles de demencia frontotemporal: un estudio de clasificación basado en la conectividad de redes cerebrales

  2019influential citation
• Dimensionality Reduction and Feature Matching in Functional MRI Imaging Data

  2019cites this paper
• Advances in Biometrics: Modern Methods and Implementation Strategies

  2019cites this paper
• Learning from multimodal data for classification and prediction of Alzheimer's disease. (Apprentissage à partir de données multimodales pour la classification et la prédiction de la maladie d'Alzheimer)

  2019cites this paper
• Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data

  2019cites this paper
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  2019cites this paper
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  2019cites this paper
• Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

  2019cites this paper
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  2019cites this paper
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  2019cites this paper
• Brain Structural Imaging in Alzheimer’s Disease

  2018cites this paper
• Voxel-wise deviations from healthy aging for the detection of region-specific atrophy

  2018cites this paper
• Connectivity-based characterisation of subcortical grey matter pathology in frontotemporal dementia and ALS: a multimodal neuroimaging study

  2018cites this paper
• A Comparative Atlas-Based Recognition of Mild Cognitive Impairment With Voxel-Based Morphometry

  2018cites this paper
• Morphometric MRI as a diagnostic biomarker of frontotemporal dementia: A systematic review to determine clinical applicability

  2018influential citation
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  2018cites this paper
• Integrating spatial‐anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification

  2018cites this paper
• Biomarkers in Alzheimer's, Frontotemporal, Lewy Body, and Vascular Dementias.

  2018cites this paper
• Separating Symptomatic Alzheimer’s Disease from Depression based on Structural MRI

  2018cites this paper
• Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier

  2018influential citation
• Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer’s Disease Spectrum: Development of the Classifier and Longitudinal Evaluation

  2018cites this paper
• Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging

  2017cites this paper
• Computer-Aided Diagnosis for Early Identification of Multi-Type Dementia using Deep Neural Networks

  2017cites this paper
• Longitudinal neuroimaging features for discriminating early neurodegeneration

  2017cites this paper
• Towards affordable biomarkers of frontotemporal dementia: A classification study via network’s information sharing

  2017cites this paper
• Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI

  2017cites this paper
• Visualization of neuritic plaques in Alzheimer’s disease by polarization-sensitive optical coherence microscopy

  2017cites this paper
• A Novel Approach for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's disease using MRI Images

  2017cites this paper
• Feature abstraction for early detection of multi-type of dementia with sparse auto-encoder

  2017cites this paper
• Computerized Technique for Computer-Aided Diagnosis of Dementia Based on Structural MRI Data

  2017cites this paper
• [Frontotemporal dementia : an update].

  2017cites this paper
• Ätiopathogenetische Beiträge der Bildgebungsforschung in der Psychiatrie

  2017cites this paper
• Predicting primary progressive aphasias with support vector machine approaches in structural MRI data

  2017cites this paper
• Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine

  2016cites this paper
• Predicting conversion from Mild Cognitive Impairment to Alzheimers Disease using ensemble learning

  2016cites this paper
• An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease.

  2016cites this paper
• Chapter 6 Neuroimaging biomarkers for autism spectrum disorder

  2016cites this paper
• Multimodal imaging evidence of pathology-mediated disease distribution in corticobasal syndrome

  2016cites this paper
• Whole-brain patterns of 1H-magnetic resonance spectroscopy imaging in Alzheimer's disease and dementia with Lewy bodies

  2016cites this paper