5 papers · 1 filter
Knowledge-based automated planning with three-dimensional generative adversarial networks
Aaron Babier, Rafid Mahmood, Andrea L. McNiven +2
We develop a knowledge-based automated planning (KBAP) pipeline that generates treatment plans using deep neural network architectures for predicting 3D doses. Our pipeline consist…
Inverse optimization for the recovery of constraint parameters
Timothy C. Y. Chan, Neal Kaw
Most inverse optimization models impute unspecified parameters of an objective function to make an observed solution optimal for a given optimization problem with a fixed feasible…
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
Rafid Mahmood, Aaron Babier, Andrea McNiven +2
Knowledge-based planning (KBP) is an automated approach to radiation therapy treatment planning that involves predicting desirable treatment plans before they are then corrected to…
An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization
Aaron Babier, Timothy C. Y. Chan, Taewoo Lee +2
We develop a generalized inverse optimization framework for fitting the cost vector of a single linear optimization problem given multiple observed decisions. This setting is motiv…
Ambulance Emergency Response Optimization in Developing Countries
Justin J. Boutilier, Timothy C. Y. Chan
The lack of emergency medical transportation is viewed as the main barrier to the access of emergency medical care in low and middle-income countries (LMICs). In this paper, we pre…