| COVID-19 diagnosis from routine blood tests using artificial intelligence techniques SB Rikan, AS Azar, A Ghafari, JB Mohasefi, H Pirnejad Biomedical Signal Processing and Control 72, 103263, 2022 | 44 | 2022 |
| Application of machine learning techniques for predicting survival in ovarian cancer A Sorayaie Azar, S Babaei Rikan, A Naemi, J Bagherzadeh Mohasefi, ... BMC medical informatics and decision making 22 (1), 345, 2022 | 19 | 2022 |
| Monkeypox detection using deep neural networks A Sorayaie Azar, A Naemi, S Babaei Rikan, J Bagherzadeh Mohasefi, ... BMC Infectious Diseases 23 (1), 438, 2023 | 10 | 2023 |
| Lightweight method for the rapid diagnosis of coronavirus disease 2019 from chest X-ray images using deep learning technique AS Azar, A Ghafari, MO Najar, SB Rikan, R Ghafari, MF Khamene, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 5 | 2021 |
| Covidense: Providing a suitable solution for diagnosing COVID-19 lung infection based on Deep Learning from chest X-ray images of patients AS Azar, A Ghafari, MO Najar, SB Rikan, R Ghafari, MF Khamene, ... Frontiers in Biomedical Technologies 8 (2), 131-142, 2021 | 5 | 2021 |
| Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques S Babaei Rikan, A Sorayaie Azar, A Naemi, J Bagherzadeh Mohasefi, ... Scientific Reports 14 (1), 2371, 2024 | | 2024 |
Amir Sorayaie AzarResearch Assistant, Doctoral (Ph.D.) Student in Computer Engineering, Urmia UniversityVerified email at urmia.ac.ir
