Christopher Kurz

Dr. Christopher Kurz is a Researcher affiliated with the Department of Radiation Therapy and Radiation Oncology at Ludwig-Maximilians-Universität München. His primary role involves advancing image-guided radiotherapy techniques, particularly leveraging MRI and AI technologies. He focuses on improving precision in radiation delivery through real-time tumor tracking, contour propagation, and auto-segmentation algorithms.

Responsibilities include developing clinical workflows for MRI-Linac systems, reducing imaging doses via AI, and enhancing radiation therapy accuracy. His research integrates deep learning models to address challenges in intrafraction motion, dose calculation, and adaptive treatment planning.

Key research areas include AI-driven MRI-Guided Radiotherapy, proton therapy dosimetry, and ventilation/perfusion imaging for radiation-induced pneumonitis detection. He collaborates on open-source solutions for multi-institutional data harmonization and participates in initiatives like the TrackRAD Challenge for real-time tumor tracking.

Prior work includes evaluations of ExacTrac Dynamic systems, scatter correction in CBCT, and gel dosimetry validation at MR-Linacs. His contributions bridge medical physics, AI, and clinical oncology to improve patient outcomes in radiation therapy.