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physics.med-ph2026
Comparing local and global optimization reveals untapped hybrid potentials for machine learning-based inverse planning
Tim Ortkamp, Florian Leininger, Zhongxing Liao +2
Machine learning (ML) models for normal tissue complication probability (NTCP) can be embedded directly into inverse treatment planning, but the resulting optimization problems are…
physics.med-ph2025
Ising energy model for the stochastic prediction of tumor islets
Lucas Amoudruz, Gregory Buti, Luciano Rivetti +6
A major challenge in diagnosing and treating cancer is the infiltrative growth of tumors into surrounding tissues. This microscopic spread of the disease is invisible on most diagn…