|
[1]
|
Proceedings of Data Analytics and Management
Lecture Notes in Networks and Systems,
2024
DOI:10.1007/978-981-99-6547-2_19
|
|
|
|
|
[2]
|
The hippocampus as a structural and functional network epicentre for distant cortical thinning in neurocognitive aging
Neurobiology of Aging,
2024
DOI:10.1016/j.neurobiolaging.2024.04.004
|
|
|
|
|
[3]
|
Towards privacy-preserving Alzheimer’s disease classification: Federated learning on T1-weighted magnetic resonance imaging data
DIGITAL HEALTH,
2024
DOI:10.1177/20552076241295577
|
|
|
|
|
[4]
|
Emerging Technologies in Data Mining and Information Security
Advances in Intelligent Systems and Computing,
2023
DOI:10.1007/978-981-19-4676-9_47
|
|
|
|
|
[5]
|
Application of Diffusion Tensor Imaging Based on Automatic Fiber Quantification
in Alzheimer's Disease
Current Alzheimer Research,
2022
DOI:10.2174/1567205019666220718142130
|
|
|
|
|
[6]
|
A 3D Convolutional Neural Network Approach for Diagnosing Alzheimer's Disease using Modified Owl Search Optimization Technique
TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON),
2022
DOI:10.1109/TENCON55691.2022.9977604
|
|
|
|
|
[7]
|
Application of Diffusion Tensor Imaging Based on Automatic Fiber Quantification
in Alzheimer's Disease
Current Alzheimer Research,
2022
DOI:10.2174/1567205019666220718142130
|
|
|
|
|
[8]
|
Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis
Studies in Computational Intelligence,
2022
DOI:10.1007/978-981-19-1076-0_4
|
|
|
|
|
[9]
|
Enhanced computerised diagnosis of Alzheimer’s disease from brain MRI images using a classifier merger strategy
International Journal of Information Technology,
2022
DOI:10.1007/s41870-020-00606-6
|
|
|
|
|
[10]
|
Using SVM for Alzheimer’s Disease detection from 3D T1MRI
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON),
2022
DOI:10.1109/MELECON53508.2022.9842935
|
|
|
|
|
[11]
|
An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification
Electronics,
2021
DOI:10.3390/electronics10030249
|
|
|
|
|
[12]
|
A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment
Journal of Neuroscience Methods,
2021
DOI:10.1016/j.jneumeth.2020.109014
|
|
|
|
|
[13]
|
Deep Learning-Based Segmentation in Classification of Alzheimer’s Disease
Arabian Journal for Science and Engineering,
2021
DOI:10.1007/s13369-020-05193-z
|
|
|
|
|
[14]
|
An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification
Electronics,
2021
DOI:10.3390/electronics10030249
|
|
|
|
|
[15]
|
Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers
Physics in Medicine & Biology,
2021
DOI:10.1088/1361-6560/ac0e77
|
|
|
|
|
[16]
|
A Survey on Classification Algorithms of Brain Images in Alzheimer’s Disease Based on Feature Extraction Techniques
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3072559
|
|
|
|
|
[17]
|
Characterizing white matter connectivity in Alzheimer’s disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets
Cortex,
2020
DOI:10.1016/j.cortex.2020.03.032
|
|
|
|
|
[18]
|
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease
Neuroinformatics,
2020
DOI:10.1007/s12021-020-09469-5
|
|
|
|
|
[19]
|
Diagnosis and Management in Dementia
2020
DOI:10.1016/B978-0-12-815854-8.00020-3
|
|
|
|
|
[20]
|
Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
Processes,
2020
DOI:10.3390/pr8091071
|
|
|
|
|
[21]
|
Multimodal MRI Based Classification and Prediction of Alzheimer’s Disease Using Random Forest Ensemble
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA),
2020
DOI:10.1109/ACCTHPA49271.2020.9213211
|
|
|
|
|
[22]
|
Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease
Visual Computing for Industry, Biomedicine, and Art,
2020
DOI:10.1186/s42492-020-00062-w
|
|
|
|
|
[23]
|
Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
Processes,
2020
DOI:10.3390/pr8091071
|
|
|
|
|
[24]
|
A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease
NeuroImage,
2018
DOI:10.1016/j.neuroimage.2017.11.025
|
|
|
|
|
[25]
|
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spanning Tree Brain Functional Network
Frontiers in Computational Neuroscience,
2018
DOI:10.3389/fncom.2018.00031
|
|
|
|
|
[26]
|
A novel approach to brain connectivity reveals early structural changes in Alzheimer’s disease
Physiological Measurement,
2018
DOI:10.1088/1361-6579/aacf1f
|
|
|
|
|
[27]
|
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
Neurocomputing,
2017
DOI:10.1016/j.neucom.2016.08.041
|
|
|
|
|
[28]
|
Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm
Computers in Biology and Medicine,
2017
DOI:10.1016/j.compbiomed.2017.02.011
|
|
|
|
|
[29]
|
DTI measurements for Alzheimer’s classification
Physics in Medicine and Biology,
2017
DOI:10.1088/1361-6560/aa5dbe
|
|
|
|
|
[30]
|
Diagnosis of Alzheimer’s Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
Journal of Healthcare Engineering,
2017
DOI:10.1155/2017/5485080
|
|
|
|
|
[31]
|
Tissue magnetic susceptibility mapping as a marker of tau pathology in Alzheimer's disease
NeuroImage,
2017
DOI:10.1016/j.neuroimage.2017.08.003
|
|
|
|
|
[32]
|
Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer’s Disease Classification
Journal of Alzheimer's Disease,
2016
DOI:10.3233/JAD-160850
|
|
|
|
|
[33]
|
Feature-ranking-based Alzheimer’s disease classification from structural MRI
Magnetic Resonance Imaging,
2016
DOI:10.1016/j.mri.2015.11.009
|
|
|
|
|
[34]
|
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease
NeuroImage: Clinical,
2016
DOI:10.1016/j.nicl.2016.01.002
|
|
|
|
|
[35]
|
Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
Computer Methods and Programs in Biomedicine,
2016
DOI:10.1016/j.cmpb.2016.09.019
|
|
|
|
|
[36]
|
Diffusion Tensor Imaging retrieval for Alzheimer's disease diagnosis
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI),
2014
DOI:10.1109/CBMI.2014.6849831
|
|
|
|