Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images

A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion

(2020) Lilia Lazli et al.   Applied Sciences-Basel

Automated prediction of sepsis using temporal convolutional network

(2020) Christopher Kok et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases

(2020) Karteek Popuri et al.   HUMAN BRAIN MAPPING

Automated detection of Alzheimer's disease using bi-directional empirical model decomposition

(2020) Joel En Wei Koh et al.   PATTERN RECOGNITION LETTERS

Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction

(2020) Adrian Xi Lin et al.   International Journal of Environmental Research and Public Health

Associations between texture of T1‐weighted MRI and radiographic pathologies in Alzheimer’s disease

(2020) Subin Lee et al.   EUROPEAN JOURNAL OF NEUROLOGY

Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion

(2020) Yuanpeng Zhang et al.   Information Fusion

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

(2019) Rachna Jain et al.   Cognitive Systems Research

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

(2019) Simeon Spasov et al.   NEUROIMAGE

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer’s dementia diagnosis using multi-measure rs-fMRI spatial patterns

(2019) Duc Thanh Nguyen et al.   PLoS One

A Novel Texture Extraction Technique with T1 Weighted MRI for the Classification of Alzheimer’s Disease

(2019) Krishnakumar Vaithinathan et al.   JOURNAL OF NEUROSCIENCE METHODS

Automated detection of schizophrenia using nonlinear signal processing methods

(2019) V. Jahmunah et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

(2019) U. Rajendra Acharya et al.   JOURNAL OF MEDICAL SYSTEMS

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

(2019) Taeho Jo et al.   Frontiers in Aging Neuroscience

Acute Health Impacts of the Southeast Asian Transboundary Haze Problem—A Review

(2019) Cheong et al.   International Journal of Environmental Research and Public Health

Automated atrophy assessment for Alzheimer's disease diagnosis from brain MRI images

(2019) Tawseef Ayoub Shaikh et al.   MAGNETIC RESONANCE IMAGING

Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

(2019) Yubraj Gupta et al.   PLoS One

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

(2019) Farheen Ramzan et al.   JOURNAL OF MEDICAL SYSTEMS

Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning

(2019) Kanghan Oh et al.   Scientific Reports

The Relationship Between Air Pollution and All-Cause Mortality in Singapore

(2019) Ho et al.   Atmosphere

Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network

(2018) Mohammed Ghazal   Frontiers in Bioscience-Landmark

Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

(2018) Shui-Hua Wang et al.   JOURNAL OF MEDICAL SYSTEMS

Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination

(2018) Lauge Sørensen et al.   JOURNAL OF NEUROSCIENCE METHODS

Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment

(2018) Loris Nanni et al.   JOURNAL OF NEUROSCIENCE METHODS

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning

(2018) Qing Li et al.   Frontiers in Computational Neuroscience

Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI

(2018) Seyed Hani Hojjati et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database

(2018) Christian Ledig et al.   Scientific Reports

Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI

(2018) Xia-an Bi et al.   Frontiers in Neuroinformatics

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

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease

(2017) Tong Tong et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Alzheimer’s Disease Classification Based on Individual Hierarchical Networks Constructed With 3-D Texture Features

(2017) Jin Liu et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning

(2017) Olfa Ben Ahmed et al.   NEUROCOMPUTING

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

Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers

(2016) Anandh Kilpattu Ramaniharan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

(2016) Mingxia Liu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

(2016) Mingxia Liu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Feature-ranking-based Alzheimer’s disease classification from structural MRI

(2016) Iman Beheshti et al.   MAGNETIC RESONANCE IMAGING

Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis

(2016) Kun Hu et al.   NEUROCOMPUTING

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

(2016) Jussi Tohka et al.   NEUROINFORMATICS

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

Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex

(2015) Olfa Ben Ahmed et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults

(2015) Ahmad Akl et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Domain Transfer Learning for MCI Conversion Prediction

(2015) Bo Cheng et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI

(2015) Edward Challis et al.   NEUROIMAGE

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

(2015) Elaheh Moradi et al.   NEUROIMAGE

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

Feature Selection Based on the SVM Weight Vector for Classification of Dementia

(2015) Esther E. Bron et al.   IEEE Journal of Biomedical and Health Informatics

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

Multiple instance learning for classification of dementia in brain MRI

(2014) Tong Tong et al.   MEDICAL IMAGE ANALYSIS

Classification of Alzheimer’s disease subjects from MRI using hippocampal visual features

(2014) Olfa Ben Ahmed et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease

(2014) Liana G. Apostolova et al.   NeuroImage-Clinical

Corpus callosum shape changes in early Alzheimer’s disease: an MRI study using the OASIS brain database

(2013) Babak A. Ardekani et al.   Brain Structure & Function

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

(2013) Clifford R Jack et al.   LANCET NEUROLOGY

Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI

(2013) Darya Chyzhyk et al.   NEUROCOMPUTING

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

Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

(2012) Chong-Yaw Wee et al.   HUMAN BRAIN MAPPING

Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion

(2012) Eric Westman et al.   NEUROIMAGE

Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning

(2012) Simon F. Eskildsen et al.   NEUROIMAGE

Education increases reserve against Alzheimer’s disease—evidence from structural MRI analysis

(2012) Yawu Liu et al.   NEURORADIOLOGY

Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

(2011) Reisa A. Sperling et al.   Alzheimers & Dementia

3D texture analysis on MRI images of Alzheimer’s disease

(2011) Jing Zhang et al.   Brain Imaging and Behavior

Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease

(2011) Deepti Pachauri et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment

(2011) Sergi G. Costafreda 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

Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease

(2011) Pierrick Coupé et al.   NEUROIMAGE

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

(2011) Maria Vounou et al.   NEUROIMAGE

Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease

(2011) Robin Wolz et al.   PLoS One

2010 Alzheimer's disease facts and figures

(2010)   Alzheimers & Dementia

Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls

(2010) Eric Westman et al.   NEUROIMAGE

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

Rate of progression of mild cognitive impairment to dementia - meta-analysis of 41 robust inception cohort studies

(2009) A. J. Mitchell et al.   ACTA PSYCHIATRICA SCANDINAVICA

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers

(2009) N. Schuff et al.   BRAIN

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

Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls

(2008) Jonathan H. Morra et al.   NEUROIMAGE