| Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm Z Arabasadi, R Alizadehsani, M Roshanzamir, H Moosaei, AA Yarifard Computer methods and programs in biomedicine 141, 19-26, 2017 | 346 | 2017 |
| A data mining approach for diagnosis of coronary artery disease R Alizadehsani, J Habibi, MJ Hosseini, H Mashayekhi, R Boghrati, ... Computer methods and programs in biomedicine 111 (1), 52-61, 2013 | 287 | 2013 |
| Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, R Alizadehsani, N Ghassemi, M Jafari, ... arXiv preprint arXiv:2007.10785, 2020 | 166 | 2020 |
| An expert system for selecting wart treatment method F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, ... Computers in biology and medicine 81, 167-175, 2017 | 146 | 2017 |
| 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 | 128 | 2021 |
| Machine learning-based coronary artery disease diagnosis: A comprehensive review R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ... Computers in biology and medicine 111, 103346, 2019 | 119 | 2019 |
| Intralesional immunotherapy compared to cryotherapy in the treatment of warts F Khozeimeh, F Jabbari Azad, Y Mahboubi Oskouei, M Jafari, ... International journal of dermatology 56 (4), 474-478, 2017 | 117 | 2017 |
| Coronary artery disease detection using computational intelligence methods R Alizadehsani, MH Zangooei, MJ Hosseini, J Habibi, A Khosravi, ... Knowledge-Based Systems 109, 187-197, 2016 | 109 | 2016 |
| Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, ... Journal of medical virology 93 (4), 2307-2320, 2021 | 106 | 2021 |
| Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries R Alizadehsani, MJ Hosseini, A Khosravi, F Khozeimeh, M Roshanzamir, ... Computer methods and programs in biomedicine 162, 119-127, 2018 | 91 | 2018 |
| Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, ... Computers in Biology and Medicine 139, 104949, 2021 | 85 | 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 68, 102622, 2021 | 82 | 2021 |
| Diagnosis of coronary artery disease using cost-sensitive algorithms R Alizadehsani, MJ Hosseini, ZA Sani, A Ghandeharioun, R Boghrati 2012 IEEE 12th International Conference on Data Mining Workshops, 9-16, 2012 | 79 | 2012 |
| 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 136, 104697, 2021 | 75 | 2021 |
| 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 163, 113788, 2021 | 69 | 2021 |
| Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach E Nasarian, M Abdar, MA Fahami, R Alizadehsani, S Hussain, ME Basiri, ... Pattern Recognition Letters 133, 33-40, 2020 | 66 | 2020 |
| 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, 1-42, 2021 | 62 | 2021 |
| A database for using machine learning and data mining techniques for coronary artery disease diagnosis R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ... Scientific data 6 (1), 1-13, 2019 | 58 | 2019 |
| 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 27, 104495, 2021 | 56 | 2021 |
| Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, ... Scientific Reports 11 (1), 1-18, 2021 | 56* | 2021 |
Professor Saeid NahavandiIEEE Fellow, Director, IISRI, Deakin University and Harvard UniversityVerified email at deakin.edu.au
