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Guillaume Landry leads the LMU Adaptive Radiation Therapy Lab at the Ludwig Maximilian University Hospital, focusing on the intersection of imaging and radiation therapy. The lab aims to exploit the latest developments in artificial intelligence and imaging to improve radiation therapy outcomes. The research areas include advanced techniques such as 4DCBCT scatter correction, classical AI methods, and robotic CBCT. His work involves AI dose calculation, millisecond computation for CBCT, and dose reduction strategies utilizing AI super-resolution and projection-based methods. Additionally, the lab explores clinical applications of AI in automatic segmentation, dose accumulation, and the development of imaging biomarkers. Landry's focus also extends to markerless tumor tracking, motion modeling, and real-time motion management using deep learning-based approaches. His commitment to advancing personalized medicine in radiation therapy through comprehensive AI integration positions his work at the forefront of medical technology innovations.
Administered by the Faculty of Economics. GRE is NOT required for the standard M.Sc. Economics.