Afshin Shoeibi
Orcid: 0000-0003-0635-6799
According to our database1,
Afshin Shoeibi
authored at least 53 papers
between 2020 and 2024.
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Bibliography
2024
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).
Ann. Oper. Res., August, 2024
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.
Appl. Intell., January, 2024
IEEE Trans. Syst. Man Cybern. Syst., 2024
Automated detection and forecasting of COVID-19 using deep learning techniques: A review.
Neurocomputing, 2024
Comput. Electr. Eng., 2024
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps.
IEEE Access, 2024
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
Comput. Biol. Medicine, October, 2023
Appl. Soft Comput., September, 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
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.
Comput. Biol. Medicine, May, 2023
Oper. Res. Forum, March, 2023
Proceedings of the Dynamics of Information Systems - 6th International Conference, 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
A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems.
Int. J. Neural Syst., 2022
A hardware efficient intra-cortical neural decoding approach based on spike train temporal information.
Integr. Comput. Aided Eng., 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
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression.
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
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies.
Biomed. Signal Process. Control., 2022
Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 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
Frontiers Neuroinformatics, 2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
Expert Syst. Appl., 2021
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors.
CoRR, 2021
CoRR, 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.
CoRR, 2021
CoRR, 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
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
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
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
CoRR, 2020
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images.
Biomed. Signal Process. Control., 2020