Located in the Department of Neurology , the neuroimaging research unit brings together a group of scientists, committed to the advancement of knowledge and development of MRI. Because of the fact that successful MRI research needs the incorporation of multiple disciplines, our members have a background in mathematics, physics or biomedical engineering.
Our mission is to develop and implement new MRI techniques for characterizing and modeling brain tissue. With the application of these techniques in a clinical setting we want to improve our understanding of specific inflammatory and neurodegenerative brain diseases including multiple sclerosis (MS), Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS). We also provide state-of-the-art MRI methodologies and expertise for in vivo and postmortem MRI studies to other rese
Christian's paper about Interpretable brain disease classification and relevance-guided deep learning is now online in Scientific Reports.