T. Ortkamp

Comparing local and global optimization reveals untapped hybrid potentials for machine learning-based inverse planning

Machine learning (ML) models for normal tissue complication probability (NTCP) can be embedded directly into inverse treatment planning, but the resulting optimization problems are generally nonconvex, and the choice between global and local optimization involves a trade-off between optimality guarantees and computatio...