| 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 | 550 | 2017 |
| 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 | 273 | 2019 |
| 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 | 208 | 2021 |
| 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 | 208 | 2017 |
| 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 | 176 | 2021 |
| 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 | 159 | 2016 |
| 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 | 148 | 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 | 132 | 2018 |
| 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 |
| 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), 227, 2019 | 107 | 2019 |
| Swarm intelligence in internet of medical things: A review R Alizadehsani, M Roshanzamir, NH Izadi, R Gravina, HMD Kabir, ... Sensors 23 (3), 1466, 2023 | 39 | 2023 |
| Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ... Expert Systems 39 (7), e12573, 2022 | 39 | 2022 |
| Model uncertainty quantification for diagnosis of each main coronary artery stenosis R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, MH Zangooei, ... Soft Computing 24, 10149-10160, 2020 | 39 | 2020 |
| Prognosis prediction in traumatic brain injury patients using machine learning algorithms H Khalili, M Rismani, MA Nematollahi, MS Masoudi, A Asadollahi, ... Scientific reports 13 (1), 960, 2023 | 37 | 2023 |
| An efficient algorithm for motion detection based facial expression recognition using optical flow AR Naghsh-Nilchi, M Roshanzamir International Journal of Computer and Information Engineering 2 (8), 2724-2729, 2008 | 34 | 2008 |
| Detection of effective genes in colon cancer: A machine learning approach MA Fahami, M Roshanzamir, NH Izadi, V Keyvani, R Alizadehsani Informatics in Medicine unlocked 24, 100605, 2021 | 31 | 2021 |
| Identification of clinical features associated with mortality in COVID-19 patients R Eskandarian, R Alizadehsani, M Behjati, M Zahmatkesh, ZA Sani, ... Operations Research Forum 4 (1), 16, 2023 | 29 | 2023 |
| Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19 R Alizadehsani, R Eskandarian, M Behjati, M Zahmatkesh, ... Immunity, inflammation and disease 10 (3), e561, 2022 | 28 | 2022 |
| Explainable artificial intelligence for drug discovery and development-a comprehensive survey R Alizadehsani, SS Oyelere, S Hussain, SK Jagatheesaperumal, ... IEEE Access, 2024 | 23 | 2024 |
| Body composition predicts hypertension using machine learning methods: a cohort study MA Nematollahi, S Jahangiri, A Asadollahi, M Salimi, A Dehghan, ... Scientific Reports 13 (1), 6885, 2023 | 15 | 2023 |
roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au
