| A model to predict breast cancer survivability using logistic regression M Nourelahi, A Zamani, A Talei, S Tahmasebi Middle East Journal of Cancer 10 (2), 132-138, 2019 | 18 | 2019 |
| A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months M Nourelahi, F Dadboud, H Khalili, A Niakan, H Parsaei Acute and critical care 37 (1), 45, 2022 | 15 | 2022 |
| How explainable are adversarially-robust cnns? M Nourelahi, L Kotthoff, P Chen, A Nguyen arXiv preprint arXiv:2205.13042, 2022 | 9 | 2022 |
| Evaluation of Twenty Genes in Prognosis of Patients with Ovarian Cancer Using Four Different Clustering Methods S Pourahmad, S Foroozani, M Nourelahi, A Hosseini, M Razmkhah Asian Pacific Journal of Cancer Prevention: APJCP 22 (6), 1781, 2021 | 1 | 2021 |
| An Analysis of Explainability of Predictions in Deep Networks: Methods and Applications M Nourelahi University of Wyoming, 2024 | | 2024 |
| Machine Learning-Based Bleeding Risk Predictions in Atrial Fibrillation Patients on Direct Oral Anticoagulants R Chaudhary, M Nourelahi, F Thoma, WF Gellad, WH Lo-Ciganic, ... medRxiv, 2024.05. 27.24307985, 2024 | | 2024 |
Lars KotthoffUniversity of Wyoming在 uwyo.edu 的电子邮件经过验证
Lars KotthoffUniversity of Wyoming在 uwyo.edu 的电子邮件经过验证