| Applying machine learning in liver disease and transplantation: a comprehensive review A Spann, A Yasodhara, J Kang, K Watt, BO Wang, A Goldenberg, M Bhat Hepatology 71 (3), 1093-1105, 2020 | 147 | 2020 |
| Identifying modifiable predictors of long‐term survival in liver transplant recipients with diabetes mellitus using machine learning A Yasodhara, V Dong, A Azhie, A Goldenberg, M Bhat Liver Transplantation 27 (4), 536-547, 2021 | 18 | 2021 |
| On the trustworthiness of tree ensemble explainability methods A Yasodhara, A Asgarian, D Huang, P Sobhani Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG …, 2021 | 8 | 2021 |
| Bisalbuminemia: lack of association with monoclonal gammopathy and value-justification for reporting in serum protein electrophoresis PC Chan, A Yasodhara, D Truong J Clin Chem Lab Med 1 (1), 1-4, 2017 | 5 | 2017 |
| Prediction of new onset diabetes after liver transplant A Yasodhara, M Bhat, A Goldenberg arXiv preprint arXiv:1812.00506, 2018 | 2 | 2018 |
| GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief R Saha, M Fang, A Yasodhara, K Truskovskyi, A Asgarian, D Homola, ... arXiv preprint arXiv:2206.09242, 2022 | 1 | 2022 |
