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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|August 9, 2022
In vivo assessment of tissue-specific radiological parameters with intra- and inter-patient variation using dual-energy computed tomographyNils Peters, Aaron Kieslich, Patrick Wohlfahrt, et al.Physics and Imaging in Radiation Oncology|June 30, 2025
Machine-learning-based integration of temporal and spectral prompt gamma-ray information for proton range verificationAaron Kieslich, Sonja M Schellhammer, Alex Zwanenburg, et al.Physics in Medicine and Biology|July 9, 2026
Performance of the prompt gamma-ray timing system prototype under clinical-like conditionsKrystsina Makarevich, Aaron Kieslich, Katja E Roemer, et al.Scientific Reports|January 5, 2024
Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinomaFelix Schön, Aaron Kieslich, Heiner Nebelung, et al.Physics in Medicine and Biology|July 17, 2024
A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapySebastian Starke, Aaron Kieslich, Martina Palkowitsch, et al.Physics and Imaging in Radiation Oncology|May 29, 2026
Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton radiotherapy plans with uncertainty-aware external validationAaron Kieslich, Yerik Singh, Martina Palkowitsch, et al.Pageof 1