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2025
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Artificial Intelligence Review
2025
Prediction of cognitive conversion within the Alzheimer’s disease continuum using deep learning
Alzheimer's Research & Therapy
2025
Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review
Archives of Computational Methods in Engineering
2025
Predicting the progression of MCI and Alzheimer’s disease on structural brain integrity and other features with machine learning
GeroScience
2025
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review
Expert Systems
2025
Rider Cat Optimized Alzheimer’s Disease and MCI Prediction Using Deep Attention BiLSTM and CRDF
IETE Journal of Research
2025
Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression
Alzheimer's Research & Therapy
2024
A review of machine learning techniques for diagnosing Alzheimer’s disease using imaging modalities
Neural Computing and Applications
2024
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis
IEEE Transactions on Computational Social Systems
2024
Lecture Notes in Computer Science
2024
Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks
Connection Science
2024
Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction
Behavioural Brain Research
2024
Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Alzheimer's Research & Therapy
2024
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review
IEEE Access
2024
Multi-View Separable Residual convolution neural Network for detecting Alzheimer’s disease progression
Biomedical Signal Processing and Control
2024
Proceedings of the 2024 13th International Conference on Software and Computer Applications
2024
Predicting Four-Year’s Alzheimer’s Disease Onset Using Longitudinal Neurocognitive Tests and MRI Data Using Explainable Deep Convolutional Neural Networks
Journal of Alzheimer's Disease
2024
Smart Innovation, Systems and Technologies
2023
Personalized Explanations for Early Diagnosis of Alzheimer’s Disease Using Explainable Graph Neural Networks with Population Graphs
Bioengineering
2023
MRI-based model for MCI conversion using deep zero-shot transfer learning
The Journal of Supercomputing
2023
Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning
NeuroImage
2023
Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer's dementia 3-year post MCI diagnosis
Neurobiology of Disease
2023
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging
Reviews in the Neurosciences
2022
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review
Frontiers in Artificial Intelligence
2022
A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment
Methods
2022
Applications of Machine Learning 2022
2022
Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study
PLOS ONE
2021
Deep learning improves utility of tau PET in the study of Alzheimer's disease
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
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