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European Journal of Nuclear Medicine and Molecular Imaging|November 24, 2019
Integration of PET-imaging into radiotherapy treatment planning for low-grade meningiomas improves outcomeKerstin A Kessel, Wolfgang Weber, Igor Yakushev, et al.Neuro-Oncology Advances|April 10, 2026
Tumor recurrence patterns in eloquent glioma after microsurgical resection and adjuvant radiochemotherapyMaximilian Schwendner, Stefan Suvak, Sarah Stefanowicz, et al.IEEE Transactions on Medical Imaging|March 6, 2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian InferenceJana Lipkova, Panagiotis Angelikopoulos, Stephen Wu, et al.Clinical and Translational Radiation Oncology|December 9, 2025
Radiotherapy and survival in elderly grade 4 glioma patients: The prognostic value of onco-functional outcomeHelen X Hou, Sophia M Leiss, Daniel Schmottermeyer, et al.Neuro-Oncology Advances|March 4, 2024
Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth modelMarie-Christin Metz, Ivan Ezhov, Jan C Peeken, et al.BMC Cancer|October 2, 2025
Comorbidity burden in elderly high-grade glioma patients: impact on radiotherapy outcomesSophia M Leiss, Benedikt Wiestler, Helen X Hou, et al.Neuro-Oncology Advances|July 3, 2024
Imaging meningioma biology: Machine learning predicts integrated risk score in WHO grade 2/3 meningiomaOlivia Kertels, Claire Delbridge, Felix Sahm, et al.The Lancet. Oncology|June 29, 2026
Dose escalation with intraoperative radiotherapy in newly diagnosed glioblastoma (INTRAGO-II): an open-label, multicentre, randomised, controlled, phase 3 trialFrank Anton Giordano, Oliver Ganslandt, Marc W Münter, et al.Pageof 3