activeFunded · 2022 – 2026
Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy
The 3-year DFG Funded project with the University Hospital Bonn, LMU and TU Munich (2022-2025)
Clinical & Academic Collaborators
Christopher Kurz
Group Leader, MR-guided Radiotherapy, Department of Radiation Oncology, LMU University Hospital Munich
PD Dr. Christopher Kurz is a medical physicist and leads the MR-guided radiotherapy group at the LMU Department of Radiation Oncology. His research covers deep learning for online adaptive MR-guided radiotherapy and motion management. He is a co-PI of our DFG radiotherapy project.
Research Collaboration and Funded Projects 1 filter all →
activePublications 5 filter all →
ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026
Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: a framework conditioned on prior segmentation
Physics and Imaging in Radiation Oncology, 2025
Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy
Physics and Imaging in Radiation Oncology, 2025
CloverNet--Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy
Clinical Image-Based Procedures — CLIP 2024 workshop @ MICCAI, Lecture Notes in Computer Science, 2024
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021