A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images

An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging

(2022) Modupe Odusami et al.   SENSORS

An Investigational Approach for the Prediction of Gastric Cancer Using Artificial Intelligence Techniques: A Systematic Review

(2022) Priya Bhardwaj et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Artificial Intelligence Techniques for Predictive Modeling of Vector-Borne Diseases and its Pathogens: A Systematic Review

(2022) Inderpreet Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

(2022) Duaa AlSaeed et al.   SENSORS

Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models

(2022) C. Kavitha et al.   Frontiers in Public Health

Classifying the lifestyle status for Alzheimer’s disease from clinical notes using deep learning with weak supervision

(2022) Zitao Shen et al.   BMC Medical Informatics and Decision Making

Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review

(2022) Yogesh Kumar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

(2022) Apeksha Koul et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer

(2022) Khushboo Bansal et al.   SOFT COMPUTING

A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images

(2021) Atif Mehmood et al.   NEUROSCIENCE

Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease

(2021) Jingjing Hu et al.   Frontiers in Neuroscience

Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model

(2021) Mesut Toğaçar et al.   NEURAL COMPUTING & APPLICATIONS

Multimodal deep learning models for early detection of Alzheimer’s disease stage

(2021) Janani Venugopalan et al.   Scientific Reports

Deep Learning Based Multimodal Progression Modeling for Alzheimer’s Disease

(2021) Liuqing Yang et al.   Statistics in Biopharmaceutical Research

Quantification of Cognitive Function in Alzheimer’s Disease Based on Deep Learning

(2021) Yanxian He et al.   Frontiers in Neuroscience

Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer’s Disease or Mild Cognitive Impairment

(2021) Lanlan Li et al.   BEHAVIOURAL NEUROLOGY

Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing

(2021) Cameron J Huggins et al.   Journal of Neural Engineering

Deep learning‐based model for diagnosing Alzheimer's disease and tauopathies

(2021) Shunsuke Koga et al.   NEUROPATHOLOGY AND APPLIED NEUROBIOLOGY

Iterative sparse and deep learning for accurate diagnosis of Alzheimer’s disease

(2021) Yuanyuan Chen et al.   PATTERN RECOGNITION

Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

(2021) Suhong Kim et al.   EJNMMI Research

MRI Deep Learning-Based Solution for Alzheimer’s Disease Prediction

(2021) Cristina L. Saratxaga et al.   Journal of Personalized Medicine

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis

(2021) Yogesh Kumar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep Learning Approach for Early Detection of Alzheimer’s Disease

(2021) Hadeer A. Helaly et al.   Cognitive Computation

Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning

(2020) Dan Pan et al.   Frontiers in Neuroscience

Deep Convolution Neural Network Based System for Early Diagnosis of Alzheimer's Disease

(2020) R.R. Janghel et al.   IRBM

Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

(2020) Jong Bin Bae et al.   Scientific Reports

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

(2019) Taeho Jo et al.   Frontiers in Aging Neuroscience

Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

(2018) Silvia Basaia et al.   NeuroImage-Clinical