| Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical data M Nemati, J Ansary, N Nemati Patterns 1 (5), 2020 | 175 | 2020 |
| A machine learning approach based on SVM for classification of liver diseases M Fathi, M Nemati, SM Mohammadi, R Abbasi-Kesbi Biomedical Engineering: Applications, Basis and Communications 32 (03), 2050018, 2020 | 34 | 2020 |
| Developed wireless sensor network to supervise the essential parameters in greenhouses for internet of things applications R Abbasi-Kesbi, A Nikfarjam, M Nemati IET Circuits, Devices & Systems 14 (8), 1258-1264, 2020 | 24 | 2020 |
| Empirical comparison of continuous and discrete-time representations for survival prediction M Sloma, F Syed, M Nemati, KS Xu Survival Prediction-Algorithms, Challenges and Applications, 118-131, 2021 | 15 | 2021 |
| Covid-19 machine learning based survival analysis and discharge time likelihood prediction using clinical data M Nemati, J Ansary, N Nemati PATTERNS-D-20-00052, 2020 | 14 | 2020 |
| Machine-learning approaches in covid-19 survival analysis and discharge-time likelihood prediction using clinical data. Patterns 1 (5): 100074 M Nemati, J Ansary, N Nemati doi. org/10.1016/j. patte r 4, 2020 | 9 | 2020 |
| Predicting kidney transplant survival using multiple feature representations for HLAs M Nemati, H Zhang, M Sloma, D Bekbolsynov, H Wang, S Stepkowski, ... Artificial Intelligence in Medicine 145, 102675, 2023 | 8 | 2023 |
| Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical Data, 2020 M Nemati, J Ansary, N Nemati | 8 | 2020 |
| Overcoming the Bottleneck in COVID-19 Detection: a machine-learning approach to improve accuracy of electrochemical impedance spectroscopy (EIS) detection sensitivity. Open … R Jafari, Z Esmaeilbeig, M Nemati Biomed. Sci 2, 676-679, 2020 | 7 | 2020 |
| Predicting Kidney Transplant Survival using Multiple Feature Representations for Donor and Recipient Human Leukocyte Antigens (HLAs) M Nemati, H Zhang, M Sloma, D Bekbolsynov, H Wang, S Stepkowski, ... | | 2020 |
