Claus Belka

Claus Belka is a Professor in the Department of Radiation Oncology at the Faculty of Medicine, Ludwig-Maximilians-Universität München. His work focuses on advancing MRI-guided radiotherapy, adaptive treatment strategies, and the integration of artificial intelligence in radiation oncology.

Research Interests: His research spans radiation oncology, deep learning applications in medical imaging, MRI-guided and adaptive radiotherapy, proton therapy, and dosimetric optimization. He investigates real-time tumor tracking, auto-segmentation, motion prediction, and radiomics for prognostic modeling in cancers of the lung, head and neck, prostate, and liver.

The recent publications reflect a strong trend toward leveraging deep learning for segmentation, motion prediction, synthetic imaging, and outcome modeling in MRI- and PET-guided radiotherapy. Key themes include uncertainty calibration, patient-specific modeling, low-field MR-Linac applications, and dose accumulation in adaptive settings.

Scientific Awards:

Advising and Grants: While specific students and funding sources are not listed in the provided text, his extensive publication record across multi-institutional and technical-clinical domains suggests active mentorship and leadership in major research initiatives, including clinical trials like the PUMA trial for pulmonary MR-guided radiotherapy.

Labs and Teams: He is associated with a leading radiation oncology research group at LMU Munich, focusing on medical physics innovation, AI integration, and clinical translation of advanced radiotherapy techniques.