Guillaume Landry

Guillaume Landry is an Associate Professor of Image Guided Radiation Therapy at the Department of Radiation Oncology, University Hospital of Ludwig Maximilian University (LMU) in Munich, Germany, a position he has held since 2019. He is affiliated with the Faculty of Medicine and also contributes to teaching in the Faculty of Physics at LMU. He leads the IGRT research group, focusing on the integration of artificial intelligence in radiotherapy.

His research interests include:

• Image Guided Radiation Therapy (IGRT)
• Artificial Intelligence and Deep Learning in Radiotherapy
• MR-guided Radiotherapy (MRgRT)
• Online Adaptive Radiotherapy
• Motion Management and Real-time Target Localization
• Auto-segmentation and Dose Accumulation
• CBCT and Proton Therapy Imaging

His work emphasizes the application of deep learning to problems such as synthetic CT generation, motion prediction, and treatment adaptation, particularly in lung and abdominal cancers. Recent publications show a strong trend toward developing and validating AI models for clinical implementation in radiotherapy, including major contributions to guidelines and grand challenges like SynthRAD2025 and TrackRAD2025.

Scientific awards received include:

• phiRO frequent reviewer award
• Emerging Talent Award ("Prix de la relève")

Dr. Landry is actively involved in research mentoring and grant-funded projects such as the DFG-funded AIM-CBCT-ART and the BMBF-funded INSIGHT project. His work bridges medical physics, oncology, and AI, aiming to improve precision and personalization in radiation therapy. He is a key contributor to international collaborations and clinical guideline development in AI for radiation oncology.

He is associated with the LMU ART Lab, a research group dedicated to advancing image-guided and adaptive radiotherapy through innovative physics and AI solutions.