Medical Imaging Physics (INM-4)

The Neuro Imaging Data Science group focuses on the development and application of novel and state-of-the-art neuroimaging data analysis tools. In particular, we are interested in the application of machine and deep learning algorithms to find neural biomarkers for neuroscience research, diagnosis, and therapy.

To decode the mechanisms underlying specific brain functions, we combine information from multimodal neuroimaging data such as from magneto- and electroencephalography (M/EEG), magnetic resonance imaging (MRI) or near-infrared spectroscopy (NIRS). However, one of the challenges when combining such complementary datasets is the different activation profiles acting on different spatial and temporal scales. We believe that machine and deep learning algorithms will prove to be valuable tools to overcome such challenges.