Affinely adjustable robust optimization for radiation therapy under evolving data uncertainty via semi-definite programming
Static robust optimization has played an important role in radiotherapy, where the decisions
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance
In radiotherapy, uncertainties in tumor radioresistance and its progression can degrade the
efficacy of deterministic treatments. While a robust methodology can overcome this, it often …
efficacy of deterministic treatments. While a robust methodology can overcome this, it often …
Optimal interventions in robust optimization with time-dependent uncertainty
Uncertainties can be time-dependent, particularly in areas such as cancer radiotherapy
planning and maintenance scheduling, where the condition of the patient (or system) can …
planning and maintenance scheduling, where the condition of the patient (or system) can …