Adjustable robust treatment-length optimization in radiation therapy

SCM Ten Eikelder, A Ajdari, T Bortfeld… - Optimization and …, 2022 - Springer
Traditionally, optimization of radiation therapy (RT) treatment plans has been done before
the initiation of RT course, using population-wide estimates for patients' response to therapy …

Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance

A Roy, SS Dabadghao, A Marandi - Annals of Operations Research, 2024 - Springer
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 …

Multistage stochastic fractionated intensity modulated radiation therapy planning

M Bodur, M Cevik, AA Cire, M Ruschin… - Computers & Operations …, 2023 - Elsevier
Intensity modulated radiation therapy (IMRT) is a widely used cancer treatment technique
designed to target malignant cells. To enhance its effectiveness on tumors and reduce side …

[PDF][PDF] Mathematical modeling and control of epidemics as decision support systems to steer effective public health policies

F Parino - 2023 - tesidottorato.depositolegale.it
Computational epidemiology has improved significantly through a multidisciplinary
approach that combines high-quality data with techniques from statistical physics, nonlinear …

Multistage stochastic programming combined with deep learning-based time series forecasting: new methodologies and applications

J Wang - 2021 - search.proquest.com
We study topics related to both multistage stochastic programming (MSP) and deep learning-
based time series forecasts. In terms of MSP, we study the cases where the stochastic …

Biologically-based radiation therapy planning and adjustable robust optimization

S ten Eikelder - 2021 - research.tilburguniversity.edu
Radiation therapy is one of the main treatment modalities for various different cancer types.
One of the core components of personalized treatment planning is the inclusion of patient …