6 papers
The importance of evaluating the complete automated knowledge-based planning pipeline
Aaron Babier, Rafid Mahmood, Andrea L. McNiven +2
We determine how prediction methods combine with optimization methods in two-stage knowledge-based planning (KBP) pipelines to produce radiation therapy treatment plans. We trained…
Response time optimization for drone-delivered automated external defibrillators
Justin J. Boutilier, Timothy C. Y. Chan
Out-of-hospital cardiac arrest (OHCA) claims over 400,000 lives each year in North America and is one of the most time-sensitive medical emergencies. Drone-delivered automated exte…
An Inverse Optimization Approach to Measuring Clinical Pathway Concordance
Timothy C. Y. Chan, Maria Eberg, Katharina Forster +4
Clinical pathways outline standardized processes in the delivery of care for a specific disease. Patient journeys through the healthcare system, though, can deviate substantially f…
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…
Trade-off preservation in inverse multi-objective convex optimization
Timothy C. Y. Chan, Taewoo Lee
We present a new inverse optimization methodology for multi-objective convex optimization that accommodates an input solution that may not be Pareto optimal and determines a weight…