Sebastian Marschner

Latest

• Impact of tumour proximity to organs-at-risk in adaptive MR-guided SBRT for central lung tumours and metastases
• Impact of patient-specific deep learning lung organs-at-risk segmentation on accumulated dose in online adaptive 0.35 T MR-guided radiotherapy
• Prospective Assessment of MR Guided Single-Fraction Stereotactic Ablative Radiation Therapy for Peripheral Lung Metastases: Dosimetric and Clinical Outcomes
• Deep learning-based contour propagation in magnetic resonance imaging-guided radiotherapy of lung cancer patients
• Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy
• Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study
• MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35T MR-Linac
• Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen
• Proton dose calculation with LSTM networks in presence of a magnetic field
• The role of online MR-guided multi-fraction stereotactic ablative radiotherapy in lung tumours
• Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
• 18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization
• Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis
• DeepClassPathway: Molecular pathway aware classification using explainable deep learning
• Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts
• Radiotherapy in oncological emergencies: fast-track treatment planning