Deep convolutional neural network for classification of sleep stages from single-channel EEG signals Z Mousavi, TY Rezaii, S Sheykhivand, A Farzamnia, SN Razavi Journal of neuroscience methods 324, 108312, 2019 | 134 | 2019 |
Recognizing emotions evoked by music using CNN-LSTM networks on EEG signals S Sheykhivand, Z Mousavi, TY Rezaii, A Farzamnia IEEE access 8, 139332-139345, 2020 | 116 | 2020 |
Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images S Sheykhivand, Z Mousavi, S Mojtahedi, TY Rezaii, A Farzamnia, ... Alexandria Engineering Journal 60 (3), 2885-2903, 2021 | 75 | 2021 |
COVID-19 detection using chest X-ray images based on a developed deep neural network Z Mousavi, N Shahini, S Sheykhivand, S Mojtahedi, A Arshadi SLAS technology 27 (1), 63-75, 2022 | 58 | 2022 |
Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing S Sheykhivand, TY Rezaii, S Meshgini, S Makouei, A Farzamnia Sustainability 14 (5), 2941, 2022 | 41 | 2022 |
Automatic detection of driver fatigue based on EEG signals using a developed deep neural network S Sheykhivand, TY Rezaii, Z Mousavi, S Meshgini, S Makouei, ... Electronics 11 (14), 2169, 2022 | 31 | 2022 |
Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification S Sheykhivand, TY Rezaii, Z Mousavi, A Delpak, A Farzamnia IEEE Access 8, 138834-138845, 2020 | 27 | 2020 |
Automatically identified EEG signals of movement intention based on CNN network (End-To-End) N Shahini, Z Bahrami, S Sheykhivand, S Marandi, M Danishvar, ... Electronics 11 (20), 3297, 2022 | 22 | 2022 |
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals F Baradaran, A Farzan, S Danishvar, S Sheykhivand Electronics 12 (10), 2232, 2023 | 21 | 2023 |
Automatic detection of various epileptic seizures from EEG signal using deep learning networks S Sheykhivand, S Meshgini, Z Mousavi Computational Intelligence in Electrical Engineering 11 (3), 1-12, 2020 | 21 | 2020 |
Visual saliency and image reconstruction from EEG signals via an effective geometric deep network-based generative adversarial network N Khaleghi, TY Rezaii, S Beheshti, S Meshgini, S Sheykhivand, ... Electronics 11 (21), 3637, 2022 | 20 | 2022 |
Sleep stage scoring of single-channel EEG signal based on RUSBoost classifier S Sheykhivand, TY Rezaii, A Farzamnia, M Vazifehkhahi 2018 IEEE International Conference on Artificial Intelligence in Engineering …, 2018 | 17 | 2018 |
Recognition COVID-19 cases using deep type-2 fuzzy neural networks based on chest X-ray image K Sabahi, S Sheykhivand, Z Mousavi, M Rajabioun Computational Intelligence in Electrical Engineering 14 (1), 75-92, 2023 | 15 | 2023 |
Automatic stage scoring of single-channel sleep EEG using CEEMD of genetic algorithm and neural network S Sheykhivand, T Yousefi Rezaii, Z Mousavi, S Meshgini Computational Intelligence in Electrical Engineering Journal 9 (1), 2018 | 15 | 2018 |
A novel approach for automatic detection of driver fatigue using EEG signals based on graph convolutional networks SZ Ardabili, S Bahmani, LZ Lahijan, N Khaleghi, S Sheykhivand, ... Sensors 24 (2), 364, 2024 | 14 | 2024 |
Comparison Between Different Methods of Feature Extraction in BCI Systems Based on SSVEP S Sheykhivand, TY Rezaii, AN Saatlo, N Romooz International Journal of Industrial Mathematics (IJIM) 9, 7, 2017 | 14 | 2017 |
Deep learning for detecting multi-level driver fatigue using physiological signals: A comprehensive approach M Peivandi, SZ Ardabili, S Sheykhivand, S Danishvar Sensors 23 (19), 8171, 2023 | 12 | 2023 |
Salient arithmetic data extraction from brain activity via an improved deep network N Khaleghi, S Hashemi, SZ Ardabili, S Sheykhivand, S Danishvar Sensors 23 (23), 9351, 2023 | 7 | 2023 |
EEG-based functional connectivity analysis of brain abnormalities: A review study N Khaleghi, S Hashemi, M Peivandi, SZ Ardabili, M Behjati, ... Informatics in Medicine Unlocked, 101476, 2024 | 5 | 2024 |
Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks F Baradaran, A Farzan, S Danishvar, S Sheykhivand Electronics 12 (10), 2216, 2023 | 5 | 2023 |