Christopher Kurz

Christopher Kurz is a dedicated researcher and group leader in the Department of Radiation Oncology at LMU University Hospital, affiliated with the Faculty of Medicine at LMU Munich. His work bridges medical physics and clinical oncology, focusing on advancing MRI-guided radiation therapy through artificial intelligence.

Education:

• PhD in Medical Physics, 2014, LMU Munich
• Diploma in Physics, 2011, Heidelberg University

Dr. Kurz's research is centered on integrating artificial intelligence into radiation oncology, with a strong emphasis on improving imaging, targeting, and treatment adaptation. His work spans deep learning applications for auto-segmentation, real-time tumor tracking, synthetic CT generation, motion modeling, and dose calculation in MRI-guided and CBCT-based radiotherapy. He has made significant contributions to the development of patient-specific AI models and methods for online adaptive therapy, particularly for abdominal and lung cancers. His research also explores low-field MR-linac applications and the clinical implementation of quantitative imaging.

The recent publications highlight a strong trend toward leveraging foundation models, generative AI, and patient-specific deep learning frameworks to enhance precision, reduce imaging doses, and enable real-time adaptive radiotherapy. His work increasingly focuses on creating robust, clinically viable AI tools that can be integrated into routine workflows.

Scientific Awards:

• Mildred Scheel Postdoctoral Scholarship, German Cancer Aid

Dr. Kurz leads a research group, implying active mentorship and guidance of junior scientists and students in the fields of medical physics and AI in oncology. His research is supported by competitive funding, including the German Research Foundation (DFG), as evidenced by the DFG-funded project AIM-CBCT-ART, which focuses on uncertainty calibration for deep learning in adaptive radiotherapy. His leadership in creating challenge datasets (SynthRAD2025, TrackRAD2025) also indicates a strong collaborative and community-engaged research profile.

Dr. Kurz leads the research group on MR-guided Radiation Therapy within the Department of Radiation Oncology. His team focuses on developing and validating AI-driven solutions for real-time imaging, target localization, and adaptive treatment planning. The group's work involves close collaboration between physicists, clinicians, and data scientists, aiming to translate advanced computational methods into clinical practice for improved cancer care.