Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks. - Rafid Mahmood; Aaron Babier; Andrea McNiven; Adam Diamant; Timothy C. Y. Chan (MLHC, 2018)

Interior Point Methods with Adversarial Networks. - Rafid Mahmood; Aaron Babier; Adam Diamant; Timothy C. Y. Chan (CoRR, 2018)

The importance of evaluating the complete automated knowledge-based planning pipeline. - Aaron Babier; Rafid Mahmood; Andrea L. McNiven; Adam Diamant; Timothy C. Y. Chan (CoRR, 2019)

OpenKBP: The open-access knowledge-based planning grand challenge. - Aaron Babier; Binghao Zhang; Rafid Mahmood; Kevin L. Moore 002; Thomas G. Purdie; Andrea L. McNiven; Timothy C. Y. Chan (CoRR, 2020)

AutoAudio: Deep Learning for Automatic Audiogram Interpretation. - Matthew G. Crowson; Jong Wook Lee; Amr Hamour; Rafid Mahmood; Aaron Babier; Vincent Lin; Debara L. Tucci; Timothy C. Y. Chan (J. Medical Syst., 2020)

An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization. - Aaron Babier; Timothy C. Y. Chan; Taewoo Lee; Rafid Mahmood; Daria Terekhov (INFORMS J. Optim., 2021)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned. - Aaron Babier; Craig Fernandes; Ian Yihang Zhu (INFORMS Trans. Educ., 2023)

Learning to Optimize Contextually Constrained Problems for Real-Time Decision Generation. - Aaron Babier; Timothy C. Y. Chan; Adam Diamant; Rafid Mahmood (Manag. Sci., 2025)