Francesca De Benetti

Francesca De Benetti is a Researcher at the Chair of Computer Aided Medical Procedures (Prof. Navab) at the Technical University of Munich (TUM), affiliated with the Interdisciplinary Research Laboratory (IFL) and NARVIS Lab at the Garching Campus. Her research focuses on Nuclear Medicine and Machine Learning for medical image processing, particularly in internal radiation therapy simulations and AI-driven segmentation.

• Education: M.Sc. in Biomedical Computing (TUM, 2018-2020), B.Sc. in Information Engineering (Università di Padova, 2015-2018)

Francesca's recent publications highlight her work in Monte Carlo dosimetry, dynamic PET tracer modeling, and deep learning-based anomaly detection in medical imaging. Her projects emphasize personalized radiation therapy and cross-modality image translation, often involving collaborations with nuclear medicine experts and radiologists.

She contributes to teaching at TUM, leading lectures and practical courses on topics including Medical Augmented Reality, Computer Aided Medical Procedures, and Deep Learning for Medical Applications.

Francesca is actively involved in labs such as the IFL Lab and NARVIS Lab, focusing on interdisciplinary applications of computer vision and generative AI in medicine.