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Found 4 papers, 2 papers with code
The importance of evaluating the complete automated knowledge-based planning pipeline
We determine how prediction methods combine with optimization methods in two-stage knowledge-based planning (KBP) pipelines to produce radiation therapy treatment plans.
Knowledge-based automated planning with three-dimensional generative adversarial networks
Our pipeline consisted of a generative adversarial network (GAN) to predict dose from a CT image followed by two optimization models to learn objective function weights and generate fluence-based plans, respectively.
Medical Physics
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
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 deliverable ones.
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation
The topic of learning to solve optimization problems has received interest from both the operations research and machine learning communities.
