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Found 4 papers, 3 papers with code
A hyperparameter-tuning approach to automated inverse planning
This study demonstrates that hyperparameter-tuning approaches to automated inverse planning can reduce active planning time with plan quality that is similar to or better than manually-generated plans.
Street-level Travel-time Estimation via Aggregated Uber Data
Our proposed methodology uses a graph representation of the road network and combines several techniques such as graph-based routing, trip sampling, graph sparsification, and least-squares optimization to estimate the street-level travel times.
A nonconvex optimization approach to IMRT planning with dose-volume constraints
Fluence map optimization for intensity-modulated radiation therapy planning can be formulated as a large-scale inverse problem with competing objectives and constraints associated with the tumors and organs-at-risk.
Optimization and Control Medical Physics Quantitative Methods 65K10, 90C26, 97M60
A Markov decision process approach to optimizing cancer therapy using multiple modalities
There are several different modalities, e. g., surgery, chemotherapy, and radiotherapy, that are currently used to treat cancer.
Optimization and Control Medical Physics
