| An effective meaningful way to evaluate survival models S Qi, N Kumar, M Farrokh, W Sun, LH Kuan, R Ranganath, R Henao, ... arXiv preprint arXiv:2306.01196, 2023 | 11 | 2023 |
| The ACROBAT 2022 challenge: automatic registration of breast cancer tissue P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ... Medical Image Analysis 97, 103257, 2024 | 10 | 2024 |
| Exploring language-agnostic speech representations using domain knowledge for detecting alzheimer’s dementia Z Shah, SA Qi, F Wang, M Farrokh, M Tasnim, E Stroulia, R Greiner, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Learning to predict prostate cancer recurrence from tissue images M Farrokh, N Kumar, PH Gann, R Greiner Journal of Pathology Informatics, 100344, 2023 | 1 | 2023 |
| Effective Survival Prediction and Evaluation for Cancer Patients M Farrokh, S Qi, N Kumar, R Greiner | | 2024 |
| Cancer Recurrence and Survival Prediction and Evaluation using Machine Learning M Farrokh | | 2024 |
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI Chair在 ualberta.ca 的电子邮件经过验证
