Medical Imaging & Biometrics is a work-group doing research in computer vision, image analysis and machine learning algorithms with a focus on two distinct areas of application. First, there already is some tradition at ICG in 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. A second application area are biometrics related applications where we contributed in facial image processing, facial pose estimation and fingerprint analysis over the previous years.
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. Dr. Urschler further teaches one course unit on forensic age estimation in the courses "Einführung in die Forensische Wissenschaften" and "Basiswissen Gerichtsmedizin" at the Medical University of Graz.
Research Topics/Projects: Our main research interests can be found in more detail here.
Darko Stern, post doc
Research interests: medical image analysis, machine learning