Mahboobeh Jafari
Orcid: 0000-0001-7964-4033
According to our database1,
Mahboobeh Jafari
authored at least 20 papers
between 2020 and 2024.
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Bibliography
2024
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.
Appl. Intell., January, 2024
Automated detection and forecasting of COVID-19 using deep learning techniques: A review.
Neurocomputing, 2024
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps.
IEEE Access, 2024
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
2023
Comput. Biol. Medicine, October, 2023
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Comput. Biol. Medicine, June, 2023
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.
Inf. Fusion, May, 2023
2022
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works.
WIREs Data Mining Knowl. Discov., 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review.
CoRR, 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
2021
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication.
Sensors, 2021
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems.
Sensors, 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.
Comput. Biol. Medicine, 2021
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.
Comput. Biol. Medicine, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.
CoRR, 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review.
CoRR, 2020