Menze group at Huberspitz Alm, Hausham, Bavaria (2021)
 

In September 2020, Prof. Dr. Bjoern Menze joined the DQBM Faculty as Full Professor for Biomedical Image Analysis and Machine Learning, funded by the Helmut Horten Foundation. 

Research: Biomedical Image Analysis and Machine Learning

Our work is in biomedical image computing, exploring topics at the interface of machine learning, medical imaging, and image-based modeling. Very broadly, we are interested in developing computational methods for transforming the qualitative visual inspection of biomedical image data into a quantitative description of the image information and a functional interpretation of the underlying disease process. In this, we are using models from biophysics, computational physiology, and machine learning - focusing on applications in clinical neuroimaging and the modeling of tumor growth. We are also interested in how to apply such models to big data bases in order to learn about correlations between model features and disease patterns at a population scale.

Our technology contributes to a systematic testing of biomedical modeling approaches on real world image data and, hence, to improve the understanding of the image-marker generating processes underlying selected landmark applications. At the patient level, it adds to the design of patient-specific treatments in personalized medicine.