Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks

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 and joint learning of longitudinal data for Alzheimer's disease prediction

(2020) Baiying Lei et al.   PATTERN RECOGNITION

Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology

(2019) Xiuli Bi et al.   NEUROCOMPUTING

Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification

(2019) Boo-Kyeong Choi et al.   Current Medical Imaging Reviews

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

(2019) Tao Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI

(2019) Ahmed M. Anter et al.   INFORMATION SCIENCES

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

(2019) Xiaoke Hao et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Manhua Liu et al.   NEUROIMAGE

Identifying Candidate Genetic Associations with MRI-derived AD-related ROI via Tree-guided Sparse Learning

(2018) Xiaoke Hao et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

International Roughness Index prediction model for flexible pavements

(2018) Nader Abdelaziz et al.   International Journal of Pavement Engineering

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

(2018) Kim-Han Thung et al.   MEDICAL IMAGE ANALYSIS

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis

(2018) Manhua Liu et al.   NEUROINFORMATICS

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images

(2018) Manhua Liu et al.   Frontiers in Neuroinformatics

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

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

(2018) Tao Zhou et al.   HUMAN BRAIN MAPPING

View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data

(2017) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

Relational-Regularized Discriminative Sparse Learning for Alzheimer’s Disease Diagnosis

(2017) Baiying Lei et al.   IEEE Transactions on Cybernetics

2016 Alzheimer's disease facts and figures

(2016)   Alzheimers & Dementia

High-order resting-state functional connectivity network for MCI classification

(2016) Xiaobo Chen et al.   HUMAN BRAIN MAPPING

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

(2016) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment

(2015) Chen Zu et al.   Brain Imaging and Behavior

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

(2015) L. Khedher et al.   NEUROCOMPUTING

Manifold regularized multitask feature learning for multimodality disease classification

(2014) Biao Jie et al.   HUMAN BRAIN MAPPING

Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates

(2014) Yaping Wang et al.   PLoS One

Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging

(2013) Talia M. Nir et al.   NeuroImage-Clinical

Assessment scales in dementia

(2012) Bart Sheehan   Therapeutic Advances in Neurological Disorders

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

(2010) Yun Li et al.   GENETIC EPIDEMIOLOGY

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

(2010) M. López et al.   NEUROCOMPUTING