Medical Image Processing is a work-group doing research in computer vision, image analysis and machine learning algorithms with a focus on clinical medical applications involving the development of segmentation, registration and anatomical landmark localization algorithms. Recently, with the close collaboration with the Ludwig Boltzmann Institute for Clinical Forensic Imaging in Graz, a lot of interest has additionally been put into forensic applications, e.g. forensic age estimation and presentation of forensic evidence from CT/MRI in court. Formerly the work on ICG was also dedicated to biometrics related applications where we contributed to facial image processing, facial pose estimation, and fingerprint analysis.

If you are a student, who is interested in joining our research team, e.g. for a bachelor thesis, master project or master's thesis, please have a look at our page with Student Opportunities.

Teaching: The Medical Imaging & Biometrics work-group is responsible for teaching the master level course Medical Image Analysis VO+KU, which is currently done by Martin Urschler. 

Research Topics/Projects: Our main research interests can be found in more detail here.