collaborators

5 papers

physics.med-ph2026

Direct optimization of the probability of lesion origin in proton treatment planning for low-grade glioma patients

Tim Ortkamp, Habiba Sallem, Semi Harrabi +4

In proton therapy of low-grade glioma (LGG) patients, contrast-enhancing brain lesions (CEBLs) on magnetic resonance imaging are considered predictive of late radiation-induced les…

physics.med-ph2026

Trading robustness: a scenario-free approach to robust Multi-Criteria Optimization for Treatment Planning

Remo Cristoforetti, Philipp Süss, Tobias Becher +1

Treatment planning in radiotherapy is inherently a multi-criteria optimization (MCO) problem. Traditionally, the treatment's robustness is not formulated as a part of this decision…

physics.med-ph2025

LET-modifying joint optimization for mixed-modality photon-proton treatment planning

Lisa Seckler, Amit Ben Antony Bennan, Niklas Wahl

As depth increases, linear energy transfer (LET) rises toward the distal edge of the Bragg peak, boosting the radiobiological effectiveness (RBE). To manage the biological variatio…

physics.med-ph2025

An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose

Simona Facchiano, Ramon Ortiz, Remo Cristoforetti +4

Nanodosimetry relates Ionization Detail (ID) and ionization parameters (Ip) to biological endpoints relevant for charged-particle radiotherapy. This supports a more physics-based m…

physics.med-ph2025

Scenario-free robust optimization algorithm for IMRT and IMPT treatment planning

Remo Cristoforetti, Jennifer Josephine Hardt, Niklas Wahl

Robust treatment planning algorithms for Intensity Modulated Proton Therapy (IMPT) and Intensity Modulated Radiation Therapy (IMRT) allow for uncertainty reduction in the delivered…