Third Party Funded Projects

Deep learning for dose reduction and auto-segmentation in CBCT-guided online adaptive radiotherapy
German Cancer Aid-funded project on cone-beam CT dose reduction and auto-segmentation
Mar 7, 2024
Deep learning for dose reduction and auto-segmentation in CBCT-guided online adaptive radiotherapy
Patient-specific neural networks for autosegmentation and dose accumulation in abdominal MRI-guided radiotherapy
Wilhelm Sander-Stiftung-funded project on autosegmentation and dose accumulation in MRI-guided RT
Mar 7, 2024
Patient-specific neural networks for autosegmentation and dose accumulation in abdominal MRI-guided radiotherapy
Online Adaptive Radiotherapy for Locally Advanced Lung Cancer
DKH-funded subproject S3 on AI methods for dose accumulation
Feb 1, 2024
Online Adaptive Radiotherapy for Locally Advanced Lung Cancer
Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy
DFG-funded collaborative project with TU Munich (Nassir Navab) and UK Bonn (Shadi Albarqouni)
Mar 1, 2023
Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy