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A Survey of Deep Learning for Alzheimer’s Disease

https://doi.org/10.3390/make5020035
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Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
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A comparison of resting state EEG and structural MRI for classifying Alzheimer’s disease and mild cognitive impairment
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The Role of Apolipoprotein E in Alzheimer's Disease
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Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
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Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50–89 years: a cross-sectional study
inferredcites →https://doi.org/10.1016/s1474-4422(16)00070-3openalex-snapshot
CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1016/s1474-4422(18)30029-2openalex-snapshot
Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study
inferredcites →https://doi.org/10.1016/s1474-4422(18)30053-xopenalex-snapshot
The effect of APOE and other common genetic variants on the onset of Alzheimer's disease and dementia: a community-based cohort study
inferredcites →https://doi.org/10.1016/s1474-4422(18)30285-0openalex-snapshot
Plasma and CSF biomarkers for the diagnosis of Alzheimer's disease in adults with Down syndrome: a cross-sectional study
inferredcites →https://doi.org/10.1016/s1474-4422(20)30365-3openalex-snapshot
Biomarkers for dementia: too soon for routine clinical use
inferredcites →https://doi.org/10.1016/s1474-4422(21)00341-0openalex-snapshot
Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations
inferredcites →https://doi.org/10.1016/s2468-2667(19)30183-5openalex-snapshot
Temporal changes in cardiorespiratory fitness and risk of dementia incidence and mortality: a population-based prospective cohort study
inferredcites →https://doi.org/10.1016/s2589-7500(19)30123-2openalex-snapshot
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1017/s0033291720002901openalex-snapshot
Mild cognitive impairment with Lewy bodies: neuropsychiatric supportive symptoms and cognitive profile
inferredcites →https://doi.org/10.1017/s0033291799002068openalex-snapshot
Early detection of Alzheimer's disease using the Cambridge Cognitive Examination (CAMCOG)
inferredcites →https://doi.org/10.1017/s1041610209009405openalex-snapshot
The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease
inferredcites →https://doi.org/10.1037/h0042519openalex-snapshot
The perceptron: A probabilistic model for information storage and organization in the brain.
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1038/nn.4587openalex-snapshot
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
inferredcites →https://doi.org/10.1038/s41467-018-07165-2openalex-snapshot
A web server for comparative analysis of single-cell RNA-seq data
inferredcites →https://doi.org/10.1038/s41467-019-10212-1openalex-snapshot
Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline
inferredcites →https://doi.org/10.1038/s41467-022-29047-4openalex-snapshot
A computational model of neurodegeneration in Alzheimer’s disease
inferredcites →https://doi.org/10.1038/s41586-018-0579-zopenalex-snapshot
The UK Biobank resource with deep phenotyping and genomic data
inferredcites →https://doi.org/10.1038/s41586-019-1799-6openalex-snapshot
International evaluation of an AI system for breast cancer screening
inferredcites →https://doi.org/10.1038/s41597-019-0152-0openalex-snapshot
HENA, heterogeneous network-based data set for Alzheimer’s disease
inferredcites →https://doi.org/10.1038/s41597-021-01007-5openalex-snapshot
MNI-FTD templates, unbiased average templates of frontotemporal dementia variants
inferredcites →https://doi.org/10.1038/s41598-018-22871-zopenalex-snapshot
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
inferredcites →https://doi.org/10.1038/s41598-018-30810-1openalex-snapshot
Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan
inferredcites →https://doi.org/10.1038/s41598-018-37769-zopenalex-snapshot
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
inferredcites →https://doi.org/10.1038/s41598-019-46925-yopenalex-snapshot
Screening older adults for amnestic mild cognitive impairment and early-stage Alzheimer’s disease using upper-extremity dual-tasking
inferredcites →https://doi.org/10.1038/s41598-019-49656-2openalex-snapshot
Machine learning for comprehensive forecasting of Alzheimer’s Disease progression
inferredcites →https://doi.org/10.1038/s41598-019-54548-6openalex-snapshot
Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
inferredcites →https://doi.org/10.1038/s41598-019-56020-xopenalex-snapshot
An Automatic Assessment System for Alzheimer’s Disease Based on Speech Using Feature Sequence Generator and Recurrent Neural Network
inferredcites →https://doi.org/10.1038/s41598-020-61994-0openalex-snapshot
Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent
inferredcites →https://doi.org/10.1038/s41598-020-62263-wopenalex-snapshot
Multimodal Phenotyping of Alzheimer’s Disease with Longitudinal Magnetic Resonance Imaging and Cognitive Function Data
inferredcites →https://doi.org/10.1038/s41598-020-74710-9openalex-snapshot
Automatic dementia screening and scoring by applying deep learning on clock-drawing tests
inferredcites →https://doi.org/10.1038/s41598-020-79243-9openalex-snapshot
Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging
inferredcites →https://doi.org/10.1038/s41746-020-0256-0openalex-snapshot
Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data
inferredcites →https://doi.org/10.1038/s41746-020-0301-zopenalex-snapshot
Deep representation learning of electronic health records to unlock patient stratification at scale
inferredcites →https://doi.org/10.1038/sdata.2016.44openalex-snapshot
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
inferredcites →https://doi.org/10.1080/00401706.2021.1967199openalex-snapshot
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers
inferredcites →https://doi.org/10.1080/01688638708405063openalex-snapshot
Logical memory subtest of the wechsler memory scale: Age and education norms and alternate-form reliability of two scoring systems
inferredcites →https://doi.org/10.1080/09593985.2022.2034197openalex-snapshot
Improvement in postural alignment is associated with recovery of mobility after complex acquired brain injury: An observational study
inferredcites →https://doi.org/10.1080/13854046.2022.2090442openalex-snapshot
Can the Montreal Cognitive Assessment and Mini-Mental State Examination detect cognitive decline in elderly patients with essential tremor?
inferredcites →https://doi.org/10.1089/neu.2021.0374openalex-snapshot
Neuroimaging Correlates of Depression after Traumatic Brain Injury: A Systematic Review
inferredcites →https://doi.org/10.1093/brain/awaa137openalex-snapshot
Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
inferredcites →https://doi.org/10.1093/brain/awaa160openalex-snapshot
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
inferredcites →https://doi.org/10.1093/brain/awac138openalex-snapshot
Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer’s disease
inferredcites →https://doi.org/10.1093/brain/awac178openalex-snapshot
Cerebral amyloid angiopathy interacts with neuritic amyloid plaques to promote tau and cognitive decline
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Alzheimer's detection by Artificial Bee Colony and Convolutional Neural Network at Mobile Environment
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AlzONet: a deep learning optimized framework for multiclass Alzheimer’s disease diagnosis using MRI brain imaging
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Optimizing Alzheimer’s Disease diagnosis with MRI and clinical data via lightweight transformers
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Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
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Comparative Evaluation of Deep Learning Models in Alzheimer’s Disease Diagnosis
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Multimodal Siamese networks for dementia detection from speech in women
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Early diagnosis of alzheimer’s disease using PET imaging and deep learning with comparative data augmentation techniques
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Alzheimer's Disease Prediction Using Deep Learning Models: A Comparative Study of CNN, GNN, and Feedforward Neural Networks
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Multi-Modal Medical Image Fusion for Enhanced Diagnosis using Deep Learning in the Cloud
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Graph Convolutional Networks For Disease Mapping and Classification in Healthcare
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Enhancing Skin Cancer Diagnosis with Customized InceptionV3: A Deep Learning Approach
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Enhancing Alzheimer's Disease Prediction through Deep Learning Models: A Comparative Study of GoogLeNet, LeNet, and UNet
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A Survey of Structural MRI-based Classification of Alzheimer's Disease: Traditional Machine Learning to Deep Neural Architectures
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A Comparative Study of Machine Learning Algorithms for Early Prediction of Alzheimer's Disease
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Alzheimer's Disease Classification and Prediction Using Resnet Architecture
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A Comparative Survey of Machine Learning Approaches for Alzheimer’s Disease Prediction and Detection
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Artificial Intelligence: Current and Future Role in Veterinary and Public Medicine
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AI-BASED MEDICAL IMAGE ANALYSIS FOR EARLY DETECTION OF NEUROLOGICAL DISORDERS USING DEEP LEARNING
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Review of deep learning models for Alzheimer’s disease detection: MRI-centric approaches and multimodal extensions
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Artificial Intelligence for Multimodal Early Detection of Alzheimer's Disease: A Systematic Review of Fusion Strategies and Performance Across Disease Stages (2017–2023)
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