| Generalized inverse multiobjective optimization with application to cancer therapy TCY Chan, T Craig, T Lee, MB Sharpe Operations Research 62 (3), 680-695, 2014 | 171 | 2014 |
| Inverse Optimization: Closed-form Solutions, Geometry and Goodness of fit TCY Chan, T Lee, D Terekhov Management Science 65 (3), 1115-1135, 2019 | 127 | 2019 |
| Models for predicting objective function weights in prostate cancer IMRT JJ Boutilier, T Lee, T Craig, MB Sharpe, TCY Chan Medical physics 42 (4), 1586-1595, 2015 | 86 | 2015 |
| Predicting objective function weights from patient anatomy in prostate IMRT treatment planning T Lee, M Hammad, TCY Chan, T Craig, MB Sharpe Medical physics 40 (12), 121706, 2013 | 77 | 2013 |
| Robust inverse optimization K Ghobadi, T Lee, H Mahmoudzadeh, D Terekhov Operations Research Letters 46 (3), 339-344, 2018 | 54 | 2018 |
| Trade-off preservation in inverse multi-objective convex optimization TCY Chan, T Lee European Journal of Operational Research 270 (1), 25-39, 2018 | 48 | 2018 |
| 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 | 47* | 2021 |
| Quantile inverse optimization: Improving stability in inverse linear programming Z Shahmoradi, T Lee Operations Research, 2022 | 41 | 2022 |
| On the structure of the inverse-feasible region of a linear program O Tavaslıoğlu, T Lee, S Valeva, AJ Schaefer Operations Research Letters 46 (1), 147-152, 2018 | 26 | 2018 |
| Objective selection for cancer treatment: An inverse optimization approach T Ajayi, T Lee, AJ Schaefer Operations Research 70 (3), 1717-1738, 2022 | 19 | 2022 |
| Characterizing rational transplant program response to outcome-based regulation D Mildebrath, T Lee, S Sinha, AJ Schaefer, AO Gaber Operations Research, 2024 | 8 | 2024 |
| Optimality-based clustering: An inverse optimization approach Z Shahmoradi, T Lee Operations Research Letters 50 (2), 205-212, 2022 | 7 | 2022 |
| Cost-effectiveness analysis of a personalized, teleretinal-inclusive screening policy for diabetic retinopathy via Markov modeling P Dorali, Z Shahmoradi, CY Weng, T Lee Ophthalmology retina 7 (6), 532-542, 2023 | 5 | 2023 |
| SU‐E‐T‐852: Determining Objective Function Weights in Prostate IMRT Using Inverse Optimization TCY Chan, T Lee, T Craig, MB Sharpe Medical Physics (Conference) 38 (6Part24), 3687-3687, 2011 | 5 | 2011 |
| A note on the implications of approximate submodularity in discrete optimization T Ajayi, T Lee, AJ Schaefer Optimization Letters 17 (1), 1-26, 2023 | 2* | 2023 |
| Utilizing Simulation to Update Routine Diabetic Retinopathy Screening Policies P Dorali, R Limongi, FK Torsha, CY Weng, T Lee 2022 Winter Simulation Conference (WSC), 1128-1139, 2022 | 2 | 2022 |
| Developing behavior-based diabetic retinopathy screening guidelines T Lee, P Dorali, Z Shahmoradi, CY Weng Investigative Ophthalmology & Visual Science 62 (8), 1141-1141, 2021 | 2 | 2021 |
| Generalized Inverse Optimization with Application to Cancer Therapy T Lee University of Toronto (Canada), 2015 | 2 | 2015 |
| Cost-Effectiveness Analysis of Personalized Diabetic Retinopathy Screening Recommendations P Dorali, Z Shahmoradi, CY Weng, T Lee Investigative Ophthalmology & Visual Science 63 (7), 3086-3086, 2022 | 1 | 2022 |
| Location-based analysis on optimizing teleretinal imaging accessibility in a large safety-net system P Dorali, RGL Cifelli, CY Weng, T Lee Investigative Ophthalmology & Visual Science 62 (8), 2652-2652, 2021 | 1 | 2021 |
