Guillaume Landry

Prof. Guillaume Landry is a Professor in the Department of Radiation Oncology at the Medical Center of Ludwig-Maximilians-Universität München. His research focuses on advancing image-guided radiation therapy (IGRT), particularly through AI-driven innovations in MRI-guided radiotherapy (MRgRT), proton imaging, and adaptive treatment planning. Key areas include deep learning applications for autosegmentation, real-time tumor tracking, and reducing radiation exposure via advanced imaging techniques like photon-counting CT.

His work spans clinical trials such as the PUMA trial for MRI-guided adaptive radiotherapy in lung cancer and the SAVE-HEART study evaluating surface-based radiotherapy for breast cancer. He also explores AI frameworks like foundation models for motion management and open-source solutions for multi-institutional collaboration. Prof. Landry’s contributions address challenges in dosimetry, toxicity prediction (e.g., radiation pneumonitis), and improving treatment precision through real-time imaging and data analytics.

Notable projects include developing lung phantoms for proton CT, optimizing gating systems for motion management, and validating AI models for clinical implementation. His research bridges cutting-edge technology with clinical needs, emphasizing translational applications in radiation oncology.