Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease
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Title
Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease
Authors
Keywords
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Journal
ACM Transactions on Multimedia Computing Communications and Applications
Volume 16, Issue 1s, Pages 1-35
Publisher
Association for Computing Machinery (ACM)
Online
2020-05-04
DOI
10.1145/3344998
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Note: Only part of the references are listed.- A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
- (2019) Simeon Spasov et al. NEUROIMAGE
- A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients
- (2019) Jinhua Sheng et al. BEHAVIOURAL BRAIN RESEARCH
- Raman Spectroscopy to Diagnose Alzheimer’s Disease and Dementia with Lewy Bodies in Blood
- (2018) Maria Paraskevaidi et al. ACS Chemical Neuroscience
- A robust fuzzy least squares twin support vector machine for class imbalance learning
- (2018) B. Richhariya et al. APPLIED SOFT COMPUTING
- A novel method based on independent component analysis for brain MR image tissue classification into CSF, WM and GM for atrophy detection in Alzheimer’s disease
- (2018) Rupali S. Kamathe et al. Biomedical Signal Processing and Control
- EEG signal classification using universum support vector machine
- (2018) B. Richhariya et al. EXPERT SYSTEMS WITH APPLICATIONS
- Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine
- (2018) Jongin Kim et al. HUMAN BRAIN MAPPING
- Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network
- (2018) Jin Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Support vector regression for predicting software enhancement effort
- (2018) Andrés García-Floriano et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease
- (2018) Donghuan Lu et al. MEDICAL IMAGE ANALYSIS
- Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification
- (2018) Zhuo Sun et al. NEUROIMAGE
- Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease
- (2018) Xia-an Bi et al. PLoS One
- Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles
- (2018) Halil Bisgin et al. Scientific Reports
- Detecting Alzheimer's Disease on Small Dataset: A Knowledge Transfer Perspective
- (2018) Wei Li et al. IEEE Journal of Biomedical and Health Informatics
- Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease
- (2018) Jun Shi et al. IEEE Journal of Biomedical and Health Informatics
- Challenges for Alzheimer's Disease Therapy: Insights from Novel Mechanisms Beyond Memory Defects
- (2018) Rudimar L. Frozza et al. Frontiers in Neuroscience
- EEG oscillations during word processing predict MCI conversion to Alzheimer's disease
- (2018) Ali Mazaheri et al. NeuroImage-Clinical
- Individual identification using multi-metric of DTI in Alzheimer’s disease and mild cognitive impairment
- (2018) Ying-Teng Zhang et al. Chinese Physics B
- Adaptive fusion of texture-based grading for Alzheimer's disease classification
- (2018) Kilian Hett et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis
- (2018) Mingxia Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease
- (2018) Nianyin Zeng et al. NEUROCOMPUTING
- Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI
- (2018) Xia-an Bi et al. Frontiers in Neuroinformatics
- Structural neuroimaging as clinical predictor: A review of machine learning applications
- (2018) José María Mateos-Pérez et al. NeuroImage-Clinical
- Feature Selection and Transfer Learning for Alzheimer’s Disease Clinical Diagnosis
- (2018) Ke Zhou et al. Applied Sciences-Basel
- Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative
- (2018) Dallas P. Veitch et al. Alzheimers & Dementia
- Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease
- (2018) Salim Lahmiri et al. Biomedical Signal Processing and Control
- Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features
- (2018) Gábor Gosztolya et al. COMPUTER SPEECH AND LANGUAGE
- Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks
- (2018) Fan Li et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease
- (2018) Hongfei Wang et al. NEUROCOMPUTING
- A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
- (2018) Cosimo Ieracitano et al. NEUROCOMPUTING
- Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
- (2018) Silvia Basaia et al. NeuroImage-Clinical
- Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
- (2018) Jialin Peng et al. PATTERN RECOGNITION
- Alzheimer’s Disease Classification Based on Individual Hierarchical Networks Constructed With 3-D Texture Features
- (2017) Jin Liu et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Alzheimer disease classification using KPCA, LDA, and multi-kernel learning SVM
- (2017) Saruar Alam et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support
- (2017) Laila Khedher et al. International Journal of Neural Systems
- Classification of Alzheimer’s Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity Networks
- (2017) Iman Beheshti et al. JOURNAL OF ALZHEIMERS DISEASE
- Sample Size Estimation for Alzheimer’s Disease Trials from Japanese ADNI Serial Magnetic Resonance Imaging
- (2017) Motonobu Fujishima et al. JOURNAL OF ALZHEIMERS DISEASE
- Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM
- (2017) Seyed Hani Hojjati et al. JOURNAL OF NEUROSCIENCE METHODS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Deep ensemble learning of sparse regression models for brain disease diagnosis
- (2017) Heung-Il Suk et al. MEDICAL IMAGE ANALYSIS
- A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
- (2017) Saima Rathore et al. NEUROIMAGE
- Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
- (2017) Tong Tong et al. PATTERN RECOGNITION
- A fuzzy-based system reveals Alzheimer’s Disease onset in subjects with Mild Cognitive Impairment
- (2017) Sabina Tangaro et al. Physica Medica-European Journal of Medical Physics
- Diagnosis of Alzheimer’s Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
- (2017) Ramesh Kumar Lama et al. Journal of Healthcare Engineering
- Prediction and classification of Alzheimer disease based on quantification of MRI deformation
- (2017) Xiaojing Long et al. PLoS One
- Robust energy-based least squares twin support vector machines
- (2016) Mohammad Tanveer et al. APPLIED INTELLIGENCE
- Extraction of sulcal medial surface and classification of Alzheimer's disease using sulcal features
- (2016) Maciej Plocharski et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification
- (2016) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Extracting Salient Features for EEG-based Diagnosis of Alzheimer's Disease Using Support Vector Machine Classifier
- (2016) N. N. Kulkarni et al. IETE JOURNAL OF RESEARCH
- Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
- (2016) Andrés Ortiz et al. International Journal of Neural Systems
- Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features
- (2016) Soheil Hor et al. MEDICAL IMAGE ANALYSIS
- State-space model with deep learning for functional dynamics estimation in resting-state fMRI
- (2016) Heung-Il Suk et al. NEUROIMAGE
- Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease
- (2016) Bo Cheng et al. NEUROINFORMATICS
- Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis
- (2016) Christiane Möller et al. RADIOLOGY
- Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease
- (2016) Tijn M. Schouten et al. NeuroImage-Clinical
- Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification
- (2016) Igor O. Korolev et al. PLoS One
- Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC
- (2015) Yudong Zhang et al. Biomedical Signal Processing and Control
- Multimodal manifold-regularized transfer learning for MCI conversion prediction
- (2015) Bo Cheng et al. Brain Imaging and Behavior
- Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease
- (2015) Ali Khazaee et al. Brain Imaging and Behavior
- Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages
- (2015) Carlos Cabral et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
- (2015) Siqi Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection
- (2015) Shuihua Wang et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease
- (2015) Esteve Gallego-Jutglà et al. Journal of Neural Engineering
- Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
- (2015) Elaheh Moradi et al. NEUROIMAGE
- A novel method for early diagnosis of Alzheimer’s disease based on pseudo Zernike moment from structural MRI
- (2015) H.T. Gorji et al. NEUROSCIENCE
- Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis
- (2015) Andrés Ortiz et al. Frontiers in Computational Neuroscience
- Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
- (2015) Yudong Zhang et al. Frontiers in Computational Neuroscience
- An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease
- (2015) Daniel Schmitter et al. NeuroImage-Clinical
- Detection of Alzheimer’s disease by displacement field and machine learning
- (2015) Yudong Zhang et al. PeerJ
- Structural least square twin support vector machine for classification
- (2014) Yitian Xu et al. APPLIED INTELLIGENCE
- Multi-atlas based representations for Alzheimer's disease diagnosis
- (2014) Rui Min et al. HUMAN BRAIN MAPPING
- Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease
- (2014) Alessandra Retico et al. JOURNAL OF NEUROIMAGING
- Quantifying anatomical shape variations in neurological disorders
- (2014) Nikhil Singh et al. MEDICAL IMAGE ANALYSIS
- Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
- (2014) Heung-Il Suk et al. NEUROIMAGE
- Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion
- (2014) Han Li et al. PLoS One
- Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection
- (2014) Andrés Ortiz et al. PLoS One
- Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI
- (2014) Antonio R. Hidalgo-Muñoz et al. Frontiers in Aging Neuroscience
- Subclass-based multi-task learning for Alzheimer's disease diagnosis
- (2014) Heung-II Suk et al. Frontiers in Aging Neuroscience
- Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI
- (2014) Lene Lillemark et al. BMC MEDICAL IMAGING
- Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness
- (2014) A.V. Lebedev et al. NeuroImage-Clinical
- Development of a brain MRI-based hidden Markov model for dementia recognition
- (2013) Ying Chen et al. Biomedical Engineering Online
- Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
- (2013) Heung-Il Suk et al. Brain Structure & Function
- Discrimination between Alzheimer's Disease and Mild Cognitive Impairment Using SOM and PSO-SVM
- (2013) Shih-Ting Yang et al. Computational and Mathematical Methods in Medicine
- Classification of diffusion tensor images for the early detection of Alzheimer's disease
- (2013) Wook Lee et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification
- (2013) Biao Jie et al. HUMAN BRAIN MAPPING
- 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
- Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI
- (2013) Darya Chyzhyk et al. NEUROCOMPUTING
- Locally linear embedding (LLE) for MRI based Alzheimer's disease classification
- (2013) Xin Liu et al. NEUROIMAGE
- Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification
- (2013) Feng Liu et al. NEUROIMAGE
- LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
- (2013) Andrés Ortiz et al. PATTERN RECOGNITION LETTERS
- Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods
- (2013) Ramon Casanova et al. PLoS One
- Individual Classification of Mild Cognitive Impairment Subtypes by Support Vector Machine Analysis of White Matter DTI
- (2012) S. Haller et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease
- (2012) James D. Doecke ARCHIVES OF NEUROLOGY
- Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine
- (2012) F. Segovia et al. EXPERT SYSTEMS WITH APPLICATIONS
- Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data
- (2012) R. Cuingnet et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Identification of brain regions responsible for Alzheimer’s disease using a Self-adaptive Resource Allocation Network
- (2012) B.S. Mahanand et al. NEURAL NETWORKS
- Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification
- (2012) M. Termenon et al. NEUROCOMPUTING
- Ensemble sparse classification of Alzheimer's disease
- (2012) Manhua Liu et al. NEUROIMAGE
- Random forest-based similarity measures for multi-modal classification of Alzheimer's disease
- (2012) Katherine R. Gray et al. NEUROIMAGE
- Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment
- (2012) Laurence O'Dwyer et al. PLoS One
- Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI
- (2012) Juergen Dukart et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Using artificial neural networks in clinical neuropsychology: High performance in mild cognitive impairment and Alzheimer's disease
- (2011) María Quintana et al. JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY
- Probabilistic neural networks for diagnosis of Alzheimer's disease using conventional and wavelet coherence
- (2011) Ziad Sankari et al. JOURNAL OF NEUROSCIENCE METHODS
- A Two Stage Sequential Ensemble Applied to the Classification of Alzheimer’s Disease Based on MRI Features
- (2011) M. Termenon et al. NEURAL PROCESSING LETTERS
- Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease
- (2011) Andrea Chincarini et al. NEUROIMAGE
- AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America
- (2011) Eric Westman et al. NEUROIMAGE
- Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier
- (2011) Ahmed Abdulkadir et al. NEUROIMAGE
- Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data
- (2011) Youngsang Cho et al. NEUROIMAGE
- Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)
- (2011) Zhengjia Dai et al. NEUROIMAGE
- Classification of Alzheimer Disease, Mild Cognitive Impairment, and Normal Cognitive Status with Large-Scale Network Analysis Based on Resting-State Functional MR Imaging
- (2011) Gang Chen et al. RADIOLOGY
- Autosomal-dominant Alzheimer's disease: a review and proposal for the prevention of Alzheimer's disease
- (2011) Randall J Bateman et al. Alzheimers Research & Therapy
- Japanese Alzheimer's Disease Neuroimaging Initiative: Present status and future
- (2010) Takeshi Iwatsubo Alzheimers & Dementia
- Computer aided diagnosis of Alzheimer’s disease using component based SVM
- (2010) I.A. Illán et al. APPLIED SOFT COMPUTING
- New diagnostic EEG markers of the Alzheimer’s disease using visibility graph
- (2010) Mehran Ahmadlou et al. JOURNAL OF NEURAL TRANSMISSION
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
- (2010) Rémi Cuingnet et al. NEUROIMAGE
- Differential automatic diagnosis between Alzheimer's disease and frontotemporal dementia based on perfusion SPECT images
- (2009) Jean-François Horn et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease
- (2009) R. S. Desikan et al. BRAIN
- Automatic tool for Alzheimer's disease diagnosis using PCA and Bayesian classification rules
- (2009) M. López et al. ELECTRONICS LETTERS
- Application of Paraconsistent Artificial Neural Networks as a Method of Aid in the Diagnosis of Alzheimer Disease
- (2009) Helder Frederico da Silva Lopes et al. JOURNAL OF MEDICAL SYSTEMS
- Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
- (2009) Chris Hinrichs et al. NEUROIMAGE
- Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
- (2009) Emilie Gerardin et al. NEUROIMAGE
- Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease
- (2009) Claudia Plant et al. NEUROIMAGE
- Alzheimer Disease: Quantitative Structural Neuroimaging for Detection and Prediction of Clinical and Structural Changes in Mild Cognitive Impairment
- (2009) Linda K. McEvoy et al. RADIOLOGY
- Automatic classification of MR scans in Alzheimer's disease
- (2008) S. Kloppel et al. BRAIN
- Least squares twin support vector machines for pattern classification
- (2008) M. Arun Kumar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
- (2008) Yong Fan et al. NEUROIMAGE
- Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI
- (2008) C. Davatzikos et al. NEUROIMAGE
- Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI
- (2008) Benoît Magnin et al. NEURORADIOLOGY
- Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
- (2007) Prashanthi Vemuri et al. NEUROIMAGE
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