Marco Riboldi

Prof. Marco Riboldi is a W2 Professor at the Faculty of Physics, Ludwig-Maximilians-Universität München (LMU Munich). His research focuses on advanced imaging technologies and artificial intelligence applications in radiation oncology, particularly in MRI-guided radiotherapy and proton therapy. He leads projects involving tumor tracking, phantom development for proton CT, and deep learning integration in medical imaging systems.

Key research areas include real-time tumor localization, motion management in radiotherapy, and AI-driven solutions for medical imaging challenges. His work spans 3D-printed phantoms for clinical validation, electromagnetic signal analysis for proton beam verification, and computational modeling of radiation effects in biological tissues.

• Current Projects: TrackRAD2025 Challenge, MR-Linac systems optimization, and 4D-MRI based treatment planning.
• Expertise: Medical imaging physics, radiation therapy innovation, and AI-based medical device development.

Prof. Riboldi collaborates with interdisciplinary teams to bridge clinical needs with cutting-edge technologies, aiming to improve precision and reduce side effects in cancer treatments. His laboratory focuses on developing patient-specific solutions and advancing radiation therapy workflows through novel imaging and computational methods.