We focus on bringing the assumptions of medical imaging to learning theory for building interpretable and safer deep learning solutions for different medical imaging tasks.

Our expertise in Deep Learning is reflected by and related to several lectures, projects, as well as experts.

Deep learning is providing exciting solutions for medical image analysis problems. It is seen as a key method for future medical imaging applications. A clear understanding of the principles and assumptions of neural network and deep learning concepts for exploiting in the medical setting is the main research goal.

In particular, the field develops algorithms that integrate deep learning as a core component to medical image detection, segmentation and registration, and computer-aided diagnosis.