Aaron Babier

According to our database, Aaron Babier authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan

CoRR, 2022

2021

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., January, 2021

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

OpenKBP: The open-access knowledge-based planning grand challenge.

Aaron Babier, Binghao Zhang, Rafid Mahmood, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan

CoRR, 2020

2019

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

2018

Interior Point Methods with Adversarial Networks.

Rafid Mahmood, Aaron Babier, Adam Diamant, Timothy C. Y. Chan

CoRR, 2018

Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks.

Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan

Proceedings of the Machine Learning for Healthcare Conference, 2018