Mahboobeh Jafari

Orcid: 0000-0001-7964-4033

According to our database1, Mahboobeh Jafari authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.
Appl. Intell., January, 2024

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps.
IEEE Access, 2024

2023
Emotion recognition in EEG signals using deep learning methods: A review.
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

Epileptic seizure detection using deep learning techniques: A Review.
CoRR, 2020


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