Robust hybrid deep learning models for Alzheimer’s progression detection

Hippocampal atrophy based Alzheimer’s disease diagnosis via machine learning methods

(2020) Gokce Uysal et al.   JOURNAL OF NEUROSCIENCE METHODS

Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning

(2020) Dan Pan et al.   Frontiers in Neuroscience

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease

(2020) Anees Abrol et al.   JOURNAL OF NEUROSCIENCE METHODS

Longitudinal survival analysis and two-group comparison for predicting the progression of mild cognitive impairment to Alzheimer's disease

(2020) Carlos Platero et al.   JOURNAL OF NEUROSCIENCE METHODS

Gaussian discriminative component analysis for early detection of Alzheimer’s disease: A supervised dimensionality reduction algorithm

(2020) Chen Fang et al.   JOURNAL OF NEUROSCIENCE METHODS

Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data

(2020) Shaker El-Sappagh et al.   NEUROCOMPUTING

Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data

(2020) Shaker El-Sappagh et al.   Future Generation Computer Systems-The International Journal of eScience

Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

(2019) Mostafa Mehdipour Ghazi et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Simeon Spasov et al.   NEUROIMAGE

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

(2019) Garam Lee et al.   Scientific Reports

Random forest prediction of Alzheimer’s disease using pairwise selection from time series data

(2019) P. J. Moore et al.   PLoS One

RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease

(2019) Ruoxuan Cui et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures

(2019) Nikhil Bhagwat et al.   JOURNAL OF PSYCHIATRY & NEUROSCIENCE

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual

(2019) Magda Bucholc et al.   EXPERT SYSTEMS WITH APPLICATIONS

SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data

(2019) Yi-Fan Zhang et al.   IEEE Internet of Things Journal

A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study

(2019) Solale Tabarestani et al.   NEUROIMAGE

Analysis of brain sub regions using optimization techniques and deep learning method in Alzheimer disease

(2019) D. Chitradevi et al.   APPLIED SOFT COMPUTING

A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging

(2019) Parisa Forouzannezhad et al.   JOURNAL OF NEUROSCIENCE METHODS

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

(2019) Manhua Liu et al.   NEUROIMAGE

A new machine learning method for identifying Alzheimer's disease

(2019) Lin Liu et al.   SIMULATION MODELLING PRACTICE AND THEORY

Speech emotion recognition based on DNN-decision tree SVM model

(2019) Linhui Sun et al.   SPEECH COMMUNICATION

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

(2019) Kanghan Oh et al.   Scientific Reports

A prognostic model of Alzheimer's disease relying on multiple longitudinal measures and time-to-event data

(2018) Kan Li et al.   Alzheimers & Dementia

Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging

(2018) Hongyoon Choi et al.   BEHAVIOURAL BRAIN RESEARCH

Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge

(2018) Nicola Amoroso et al.   JOURNAL OF NEUROSCIENCE METHODS

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

A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data

(2018) Xuemei Ding et al.   Scientific Reports

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

iForest: Interpreting Random Forests via Visual Analytics

(2018) Xun Zhao et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

RuleMatrix: Visualizing and Understanding Classifiers with Rules

(2018)   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

(2018) Chujie Tian et al.   Energies

Multi-task deep convolutional neural network for cancer diagnosis

(2018) Qing Liao et al.   NEUROCOMPUTING

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

(2018) Weiming Lin et al.   Frontiers in Neuroscience

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

Advancing Alzheimer’s research: A review of big data promises

(2017) Rui Zhang et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer’s Disease

(2017) Liqiang Nie et al.   IEEE Transactions on Neural Networks and Learning Systems

2016 Alzheimer's disease facts and figures

(2016)   Alzheimers & Dementia

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

(2016) Ane Alberdi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Enhancing Fingrams to deal with precise fuzzy systems

(2016) David P. Pancho et al.   FUZZY SETS AND SYSTEMS

Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method

(2016) Mikel Elkano et al.   INFORMATION SCIENCES

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest

(2016) Lei Huang et al.   NEUROBIOLOGY OF AGING

Instantiated mixed effects modeling of Alzheimer's disease markers

(2016) R. Guerrero et al.   NEUROIMAGE

Domain Transfer Learning for MCI Conversion Prediction

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

Longitudinal assessment of neuroimaging and clinical markers in autosomal dominant Alzheimer's disease: a prospective cohort study

(2015) Wai-Ying Wendy Yau et al.   LANCET NEUROLOGY

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

(2015) Elaheh Moradi et al.   NEUROIMAGE

A Robust Deep Model for Improved Classification of AD/MCI Patients

(2015) Feng Li et al.   IEEE Journal of Biomedical and Health Informatics

Extension and refinement of the predictive value of different classes of markers in ADNI: Four-year follow-up data

(2014) Jesus J. Gomar et al.   Alzheimers & Dementia

Multi-objective evolutionary algorithms for fuzzy classification in survival prediction

(2014) Fernando Jiménez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Modeling disease progression via multi-task learning

(2013) Jiayu Zhou et al.   NEUROIMAGE

Joint Modeling of Transitional Patterns of Alzheimer's Disease

(2013) Wei Liu et al.   PLoS One

Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification

(2013) Fayao Liu et al.   IEEE Journal of Biomedical and Health Informatics

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

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

A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort

(2012) Bruno M. Jedynak 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

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

(2011) Daoqiang Zhang et al.   NEUROIMAGE

Derivation of a New ADAS-cog Composite Using Tree-based Multivariate Analysis

(2010) Daniel A. Llano et al.   ALZHEIMER DISEASE & ASSOCIATED DISORDERS

Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database

(2010) Kaori Ito et al.   Alzheimers & Dementia

The clinical use of structural MRI in Alzheimer disease

(2010) Giovanni B. Frisoni et al.   Nature Reviews Neurology

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

High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables

(2010) Ying Wang 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

Relating one-year cognitive change in mild cognitive impairment to baseline MRI features

(2009) Simon Duchesne et al.   NEUROIMAGE