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

2018 Alzheimer's disease facts and figures

(2018)   Alzheimers & Dementia

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

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

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

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

Tau Protein Disrupts Nucleocytoplasmic Transport in Alzheimer’s Disease

(2018) Bahareh Eftekharzadeh et al.   NEURON

Structural variation in amyloid-β fibrils from Alzheimer's disease clinical subtypes

(2017) Wei Qiang et al.   NATURE

Clinical Dementia Rating Orientation Score as an Excellent Predictor of the Progression to Alzheimer's Disease in Mild Cognitive Impairment

(2017) Jee Wook Kim et al.   Psychiatry Investigation

The amyloid hypothesis of Alzheimer's disease at 25 years

(2016) Dennis J Selkoe et al.   EMBO Molecular Medicine

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

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

Ageing, neurodegeneration and brain rejuvenation

(2016) Tony Wyss-Coray   NATURE

Head Motion and Correction Methods in Resting-state Functional MRI

(2016) Masami GOTO et al.   Magnetic Resonance in Medical Sciences

Tau: The Center of a Signaling Nexus in Alzheimer's Disease

(2016) Shahzad S. Khan et al.   Frontiers in Neuroscience

B-26Effects of Delay Duration on the Wechsler Memory Scale Logical Memory Performance of Older Adults with Probable Alzheimer's Dementia, Probable Vascular Dementia, and Normal Cognition

(2015) V Montgomery et al.   ARCHIVES OF CLINICAL NEUROPSYCHOLOGY

Disparate voxel based morphometry (VBM) results between SPM and FSL softwares in ALS patients with frontotemporal dementia: which VBM results to consider?

(2015) Venkateswaran Rajagopalan et al.   BMC Neurology

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

Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease

(2015) Siqi Liu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ImageNet Large Scale Visual Recognition Challenge

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

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

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

Disease-related microglia heterogeneity in the hippocampus of Alzheimer’s disease, dementia with Lewy bodies, and hippocampal sclerosis of aging

(2015) Adam D Bachstetter et al.   Acta Neuropathologica Communications

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

(2014) Xiaofeng Zhu et al.   NEUROIMAGE

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

(2014) Heung-Il Suk et al.   NEUROIMAGE

Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach

(2011) Martin Monti   Frontiers in Human Neuroscience

Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity

(2011) Marc N. Coutanche et al.   NEUROIMAGE

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

Age differences in neural distinctiveness revealed by multi-voxel pattern analysis

(2010) Joshua Carp et al.   NEUROIMAGE

Accurate and robust brain image alignment using boundary-based registration

(2009) Douglas N. Greve et al.   NEUROIMAGE

Bayesian analysis of neuroimaging data in FSL

(2008) Mark W. Woolrich et al.   NEUROIMAGE