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Detection of Alzheimer’s Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging

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An effective Alzheimer’s disease segmentation and classification using Deep ResUnet and Efficientnet

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Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks

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Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation

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A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection

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Secure IoT Assistant-Based System for Alzheimer’s Disease

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A Deep Pair Siamese CNN for Multi-Class Classification of Alzheimer Disease.

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Revolutionizing Alzheimer’s: A CNN Model for Early Detection and Accurate Prediction

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Enhancing Alzheimer's Disease Diagnosis: A Hybrid Model of Transfer Learning and SVM for Improved Classification Accuracy

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Alzheimer Disease Early Detection Using Convolutional Neural Networks

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A Hybrid Model for Brain Tumor and Alzheimer's Classification Using Transfer Learning

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Multi-Class Alzheimer's Disease Classification Using a Fine-Tuned InceptionV3 Pretrained Model: A Step Towards Diagnosis and Prediction

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Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation

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Ford Vehicle Identification based on gray-level co-occurrence matrix and genetic neural network

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Age and gender classification in the wild with unsupervised feature learning

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A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data

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A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift

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A new calibration approach to graph-based semantic segmentation

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A new approach for pediatric posterior fossa semantic segmentation in magnetic resonance images

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Classification of Alzheimer’s Disease via Eight-Layer Convolutional Neural Network with Batch Normalization and Dropout Techniques

inferred← citeshttps://doi.org/10.1177/0037549716629227openalex-snapshot

Combination of stationary wavelet transform and kernel support vector machines for pathological brain detection

inferred← citeshttps://doi.org/10.1177/1550147719826048openalex-snapshot

Class imbalance learning–driven Alzheimer’s detection using hybrid features

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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans

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Computer-aided diagnosis of abnormal breasts in mammogram images by weighted-type fractional Fourier transform

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Automatic brain tissue segmentation based on graph filter

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Application of artificial neural network model in diagnosis of Alzheimer’s disease

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Imaging biomarkers in neurodegeneration: current and future practices

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First International Conference on Smart Systems and Green Energy Technologies

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Enhanced Machine Learning Technique for Multi-Stages Alzheimer?s Disease Classification

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Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease

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End-stage renal disease accompanied by mild cognitive impairment: A study and analysis of trimodal brain network fusion

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Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients

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Recent Optimization Methods and Techniques for Medical Image Analysis

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Convolutional Neural Networks for Alzheimer’s Disease

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Recent Progresses in Signal Processing for Alzheimer's Disease Detection

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Conventional Features and Machine Learning Approach to Predict Stages of Alzheimer’s Disease Using MRI Images

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Survey Based Study: Classification of Patients with Alzheimer’s Disease

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The Effect of Big Five Personality Traits on Physics Education in Middle School: Evidence from a Chinese Study

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A short contemporary survey on pathological brain detection

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Comparison of Detection Methods based on Computer Vision and Machine Learning

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Three-Dimensional Eigenbrain for the Detection of Subjects and Brain Regions Related with Alzheimer’s Disease

inferred← citeshttps://doi.org/10.3233/jad-160011openalex-snapshot

The Synergistic Roles of the Chronic Prenatal and Offspring Stress Exposures in Impairing Offspring Learning and Memory

inferred← citeshttps://doi.org/10.3233/jad-160900openalex-snapshot

Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease

inferred← citeshttps://doi.org/10.3233/jad-170069openalex-snapshot

Multivariate Approach for Alzheimer’s Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization

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The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation

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Brain Functional Networks with Dynamic Hypergraph Manifold Regularization for Classification of End-Stage Renal Disease Associated with Mild Cognitive Impairment

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A Review of Device-Free Indoor Positioning for Home-Based Care of the Aged: Techniques and Technologies

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Deep Learning-Based Multilevel Classification of Alzheimer’s Disease Using Non-invasive Functional Near-Infrared Spectroscopy

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Multi-Modal Neuroimaging Neural Network-Based Feature Detection for Diagnosis of Alzheimer’s Disease

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Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning

inferred← citeshttps://doi.org/10.3389/fneur.2018.01178openalex-snapshot

Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome

inferred← citeshttps://doi.org/10.3389/fninf.2022.856295openalex-snapshot

Research on Voxel-Based Features Detection and Analysis of Alzheimer’s Disease Using Random Survey Support Vector Machine

inferred← citeshttps://doi.org/10.3390/app9081718openalex-snapshot

Medical Image Segmentation with Adjustable Computational Complexity Using Data Density Functionals

inferred← citeshttps://doi.org/10.3390/bioengineering10080958openalex-snapshot

Multimodal Classification Framework Based on Hypergraph Latent Relation for End-Stage Renal Disease Associated with Mild Cognitive Impairment

inferred← citeshttps://doi.org/10.3390/brainsci12010080openalex-snapshot

Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification

inferred← citeshttps://doi.org/10.3390/brainsci13081187openalex-snapshot

Characterizing Topological Properties of Brain Functional Networks Using Multi-Threshold Derivative for End-Stage Renal Disease with Mild Cognitive Impairment

inferred← citeshttps://doi.org/10.3390/e17127877openalex-snapshot

Pathological Brain Detection by a Novel Image Feature—Fractional Fourier Entropy

inferred← citeshttps://doi.org/10.3390/e18030077openalex-snapshot

Tea Category Identification Using a Novel Fractional Fourier Entropy and Jaya Algorithm

inferred← citeshttps://doi.org/10.3390/e23020223openalex-snapshot

Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi–Dirac Correction Functions

inferred← citeshttps://doi.org/10.3390/s19112645openalex-snapshot

Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

inferred← citeshttps://doi.org/10.3390/s22197661openalex-snapshot

Voting Ensemble Approach for Enhancing Alzheimer’s Disease Classification

inferred← citeshttps://doi.org/10.3390/s26175489openalex-snapshot

From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer’s Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges

inferred← citeshttps://doi.org/10.36548//jscp.2022.3.005openalex-snapshot

Survey on Feature Detection of Alzheimer’s disease in Early Stage by Particle Size Distribution in Feature Selection Optimization Procedure

inferred← citeshttps://doi.org/10.3837/tiis.2016.10.025openalex-snapshot

Dual Detection-Guided Newborn Target Intensity Based on Probability Hypothesis Density for Multiple Target Tracking

inferred← citeshttps://doi.org/10.3934/mbe.2023086openalex-snapshot

Hypergraph representation of multimodal brain networks for patients with end-stage renal disease associated with mild cognitive impairment

inferred← citeshttps://doi.org/10.3934/mbe.2023664openalex-snapshot

Multi-modal feature selection with self-expression topological manifold for end-stage renal disease associated with mild cognitive impairment

inferred← citeshttps://doi.org/10.3934/mbe.2024171openalex-snapshot

Predicting the cognitive function status in end-stage renal disease patients at a functional subnetwork scale

inferred← citeshttps://doi.org/10.4108/eai.16-9-2021.170957openalex-snapshot

Alzheimer’s disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation

inferred← citeshttps://doi.org/10.4108/eetel.3156openalex-snapshot

Transformer-Guided Video Inpainting Algorithm Based on Local Spatial-Temporal joint

inferred← citeshttps://doi.org/10.4108/eetel.4258openalex-snapshot

E-learning for Alzheimer's Disease

inferred← citeshttps://doi.org/10.4108/eetel.4790openalex-snapshot

A Review of Deep Learning Approaches for Early Diagnosis of Alzheimer's Disease

inferred← citeshttps://doi.org/10.5821/dissertation-2117-176434openalex-snapshot

Portraying urban diversity patterns through exploratory data analysis

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A study of the progression of damage in an axially loaded Branta leucopsis femur using X-ray computed tomography and digital image correlation

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