TUM Joins €3M AI Initiative to Tackle Endometriosis
As part of the newly funded EndoKI project, Prof. Julia Schnabel (TUM) and collaborators aim to revolutionize endometriosis diagnosis using AI-driven 3D patient models built from MRI and surgical data. With €3 million in support from the Bavarian State Ministry of Health, the interdisciplinary team will develop a pseudonymized database to improve early, non-invasive diagnosis and reduce the need for repeated surgeries.
Read more here.
Julia A. Schnabel
Professor for Computational Imaging and AI in Medicine, Director of the Institute of Machine Learning in Biomedical Imaging
My research interests include machine/deep learning, nonlinear motion modeling, as well as multimodal and quantitative imaging, for cancer-, cardiac-, neuro- and perinatal imaging.