Optimization

Inverse Planning for Radiofrequency Ablation in Cancer Therapy Using Multiple Damage Models
Radiofrequency ablation (RFA) offers localized and minimally invasive treatment of small-to-medium sized inoperable tumors. In RFA, …
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Physical dose validation of dynamic treatment for Gamma Knife radiosurgery
Background: Dynamic treatment in Gamma Knife (GK) radiosurgery systems delivers radiation continuously with couch movement, as opposed …
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A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem
Problem definition: Kidney paired donation programs allow patients registered with an incompatible donor to receive a suitable kidney …
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Plan assessment metrics for dose painting in stereotactic radiosurgery
PURPOSE As radiotherapy treatment precision increases with advancements in imaging and radiation delivery, dose painting treatment …
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A feasibility look to two-stage robust optimization in kidney exchange
Kidney paired donation programs (KPDPs) are an alternative for patients whose non-ideal donors are willing to donate a kidney to …
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Radiotherapy treatment planning
Automating the design and validation of radiotherapy treatment plans to better treat cancer
Single-entry waitlist surgical scheduling
Scheduling surgeries in a central waitlist across multiple collaborating hospitals and surgeons to maximize total surgeries and minimize wait times
Kidney paired donations
Matching pools of kidney patients to eligible donors to maximize total transplants
Pandemic modeling and planning
Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning
Logic-based benders decomposition and binary decision diagram based approaches for stochastic distributed operating room scheduling
The distributed operating room (OR) scheduling problem aims to find an assignment of surgeries to ORs across collaborating hospitals …
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