| Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images N Ghassemi, A Shoeibi, M Rouhani Biomedical Signal Processing and Control 57, 101678, 2020 | 404 | 2020 |
| Epileptic seizures detection using deep learning techniques: a review A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ... International journal of environmental research and public health 18 (11), 5780, 2021 | 366 | 2021 |
| Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, ... Neurocomputing, 127317, 2024 | 284 | 2024 |
| Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review M Khodatars, A Shoeibi, D Sadeghi, N Ghassemi, M Jafari, A Khadem, ... Computers in Biology and Medicine, 2021 | 259 | 2021 |
| Risk Factors Prediction, Clinical Outcomes and Mortality of COVID-19 Patients R Alizadehsani, Z Alizadehsani, M Behjati, Z Roshanzamir, S Hussain, ... Journal of Medical Virology, 2021 | 207 | 2021 |
| Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, ... Computers in Biology and Medicine, 2021 | 181 | 2021 |
| Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images D Sharifrazi, R Alizadehsani, M Roshanzamir, JH Joloudari, A Shoeibi, ... Biomedical Signal Processing and Control, 2021 | 175 | 2021 |
| An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, ... Computers in Biology and Medicine 146, 105554, 2022 | 163 | 2022 |
| A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals A Shoeibi, N Ghassemi, R Alizadehsani, M Rouhani, H Hosseini-Nejad, ... Expert Systems with Applications, 113788, 2021 | 153 | 2021 |
| Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020) R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, ... Annals of Operations Research, 2021 | 145 | 2021 |
| Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, ... Frontiers in Neuroinformatics, 2021 | 142* | 2021 |
| Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, JM Gorriz, H Moosaei, ... Results in Physics, 2021 | 142 | 2021 |
| Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies A Shoeibi, N Ghassemi, M Khodatars, P Moridian, R Alizadehsani, A Zare, ... Biomedical Signal Processing and Control 73, 103417, 2022 | 135 | 2022 |
| Computational approaches to explainable artificial intelligence: advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 115 | 2023 |
| Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients F Khozeime, D Sharifrazi, N Hoseini-Izadi, JH Joloudari, A Shoeibi, ... Scientific Reports, 2021 | 110 | 2021 |
| Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020 R Alizadehsani, A Khosravi, M Roshanzamir, M Abdar, N Sarrafzadegan, ... Computers in Biology and Medicine 128, 104095, 2021 | 109 | 2021 |
| An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A Shoeibi, P Moridian, N Ghassemi, M Khodatars, M Jafari, ... Computers in Biology and Medicine, 106053, 2022 | 107* | 2022 |
| Emotion recognition in EEG signals using deep learning methods: A review M Jafari, A Shoeibi, M Khodatars, S Bagherzadeh, A Shalbaf, DL García, ... Computers in Biology and Medicine, 107450, 2023 | 95 | 2023 |
| Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review P Moridian, N Ghassemi, M Jafari, S Salloum-Asfar, D Sadeghi, ... Frontiers in Molecular Neuroscience, 2022 | 82 | 2022 |
| Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadesani, ... Information Fusion 93, 85-117, 2023 | 81 | 2023 |
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaZweryfikowany adres z usq.edu.au