| Knowledge‐based automated planning with three‐dimensional generative adversarial networks A Babier, R Mahmood, AL McNiven, A Diamant, TCY Chan Medical physics 47 (2), 297-306, 2020 | 144 | 2020 |
| Automated treatment planning in radiation therapy using generative adversarial networks R Mahmood, A Babier, A McNiven, A Diamant, TCY Chan Machine learning for healthcare conference, 484-499, 2018 | 137 | 2018 |
| OpenKBP: the open‐access knowledge‐based planning grand challenge and dataset A Babier, B Zhang, R Mahmood, KL Moore, TG Purdie, AL McNiven, ... Medical Physics 48 (9), 5549-5561, 2021 | 100 | 2021 |
| Inverse optimization: Theory and applications TCY Chan, R Mahmood, IY Zhu Operations Research, 2023 | 86 | 2023 |
| Low budget active learning via wasserstein distance: An integer programming approach R Mahmood, S Fidler, MT Law arXiv preprint arXiv:2106.02968, 2021 | 45 | 2021 |
| An ensemble learning framework for model fitting and evaluation in inverse linear optimization A Babier, TCY Chan, T Lee, R Mahmood, D Terekhov Informs Journal on Optimization 3 (2), 119-138, 2021 | 44* | 2021 |
| Convolutional codes with maximum column sum rank for network streaming R Mahmood, A Badr, A Khisti IEEE Transactions on Information Theory 62 (6), 3039-3052, 2016 | 43 | 2016 |
| Optimizing data collection for machine learning R Mahmood, J Lucas, JM Alvarez, S Fidler, M Law Advances in Neural Information Processing Systems 35, 29915-29928, 2022 | 33 | 2022 |
| Predicting postoperative cochlear implant performance using supervised machine learning MG Crowson, P Dixon, R Mahmood, JW Lee, D Shipp, T Le, V Lin, J Chen, ... Otology & Neurotology 41 (8), e1013-e1023, 2020 | 31 | 2020 |
| The importance of evaluating the complete automated knowledge-based planning pipeline A Babier, R Mahmood, AL McNiven, A Diamant, TCY Chan Physica Medica 72, 73-79, 2020 | 29 | 2020 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 27 | 2022 |
| How much more data do i need? estimating requirements for downstream tasks R Mahmood, J Lucas, D Acuna, D Li, J Philion, JM Alvarez, Z Yu, S Fidler, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| AutoAudio: deep learning for automatic audiogram interpretation MG Crowson, JW Lee, A Hamour, R Mahmood, A Babier, V Lin, DL Tucci, ... Journal of Medical Systems 44, 1-7, 2020 | 22 | 2020 |
| Streaming codes for multiplicative-matrix channels with burst rank loss R Mahmood, A Badr, A Khisti IEEE Transactions on Information Theory 64 (7), 5296-5311, 2017 | 12 | 2017 |
| Rank metric convolutional codes with applications in network streaming R Mahmood University of Toronto (Canada), 2015 | 11 | 2015 |
| Predicting protein and fat content in human donor milk using machine learning RK Wong, MA Pitino, R Mahmood, IY Zhu, D Stone, DL O'Connor, ... The Journal of Nutrition 151 (7), 2075-2083, 2021 | 9 | 2021 |
| Bridging the sim2real gap with care: Supervised detection adaptation with conditional alignment and reweighting V Prabhu, D Acuna, A Liao, R Mahmood, MT Law, J Hoffman, S Fidler, ... arXiv preprint arXiv:2302.04832, 2023 | 8 | 2023 |
| Learning to Optimize Contextually Constrained Problems for Real-Time Decision Generation A Babier, TCY Chan, A Diamant, R Mahmood Management Science, 2024 | 6* | 2024 |
| Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? YH Liao, R Mahmood, S Fidler, D Acuna arXiv preprint arXiv:2404.06510, 2024 | 4 | 2024 |
| Got (optimal) milk? Pooling donations in human milk banks with machine learning and optimization TCY Chan, R Mahmood, DL O’Connor, D Stone, S Unger, RK Wong, ... Manufacturing & Service Operations Management, 2023 | 4 | 2023 |
Timothy ChanUniversity of TorontoVerified email at mie.utoronto.ca