An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine

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

Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

(2019) Muazzam Maqsood et al.   SENSORS

Brain volumes and cortical thickness on MRI in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER)

(2019) Ruth Stephen et al.   Alzheimers Research & Therapy

Alzheimer's Disease Detection Using Extreme Learning Machine, Complex Dual Tree Wavelet Principal Coefficients and Linear Discriminant Analysis

(2018) Debesh Jha et al.   Journal of Medical Imaging and Health Informatics

Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI

(2017) Muhammad Naveed Iqbal Qureshi et al.   Frontiers in Human Neuroscience

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

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

Use of SVM Methods with Surface-Based Cortical and Volumetric Subcortical Measurements to Detect Alzheimer's Disease

(2017) Pedro Paulo de Magalhães Oliveira et al.   JOURNAL OF ALZHEIMERS DISEASE

A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces

(2016) Yi Chen et al.   IEEE Transactions on Biomedical Circuits and Systems

Cortical thickness changes in patients with Parkinson's disease and impulse control disorders

(2016) Alessandro Tessitore et al.   PARKINSONISM & RELATED DISORDERS

2015 Alzheimer's disease facts and figures

(2015)   Alzheimers & Dementia

Arbitrary Category Classification of Websites Based on Image Content

(2015) Anton Akusok et al.   IEEE Computational Intelligence Magazine

Domain Transfer Learning for MCI Conversion Prediction

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

Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey

(2015) Jiuwen Cao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Structural imaging biomarkers of Alzheimer's disease: predicting disease progression

(2015) Simon F. Eskildsen et al.   NEUROBIOLOGY OF AGING

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

Manifold regularized multitask feature learning for multimodality disease classification

(2014) Biao Jie et al.   HUMAN BRAIN MAPPING

Multiple instance learning for classification of dementia in brain MRI

(2014) Tong Tong et al.   MEDICAL IMAGE ANALYSIS

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

(2013) Heung-Il Suk et al.   Brain Structure & Function

Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis

(2013) Manhua Liu et al.   HUMAN BRAIN MAPPING

Ushering in the study and treatment of preclinical Alzheimer disease

(2013) Jessica B. Langbaum et al.   Nature Reviews Neurology

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

Neuropathological Alterations in Alzheimer Disease

(2013) A. Serrano-Pozo et al.   Cold Spring Harbor Perspectives in Medicine

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

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

A comparative analysis of support vector machines and extreme learning machines

(2012) Xueyi Liu et al.   NEURAL NETWORKS

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data

(2012) Lei Yuan et al.   NEUROIMAGE

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

(2012) Eric Westman et al.   NEUROIMAGE

FreeSurfer

(2012) Bruce Fischl   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

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

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

The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease

(2011) Guy M. McKhann et al.   Alzheimers & Dementia

The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease

(2011) Marilyn S. Albert et al.   Alzheimers & Dementia

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang 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-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

(2011) Daoqiang Zhang et al.   NEUROIMAGE

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

(2011) Robin Wolz et al.   PLoS One

Boosting power for clinical trials using classifiers based on multiple biomarkers

(2010) Omid Kohannim et al.   NEUROBIOLOGY OF AGING

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

(2010) Chris Hinrichs et al.   NEUROIMAGE

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

FDG-PET changes in brain glucose metabolism from normal cognition to pathologically verified Alzheimer’s disease

(2009) Lisa Mosconi et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI)

(2009) Jessica B.S. Langbaum et al.   NEUROIMAGE

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

(2009) Chris Hinrichs et al.   NEUROIMAGE

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN

Patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia

(2008) Blake A. Richards et al.   NEUROBIOLOGY OF AGING

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

(2008) Yong Fan et al.   NEUROIMAGE

Core candidate neurochemical and imaging biomarkers of Alzheimer’s disease

(2007) Harald Hampel et al.   Alzheimers & Dementia

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

(2006) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING