CAiM Group
Computer-assisted Applications in Medicine (CAiM) Group at ETH Zurich is led by Prof. Dr. Orçun Göksel. CAiM works on computer-based processing and interpretation of medical images and is within the Computer Vision Laboratory at the Department of Information Technology and Electrical Engineering (D-ITET).
Basic and applied research in CAiM involve data analysis and information extraction, on topics lying at the intersection of multiple disciplines: engineering, computer science, and medicine.
With the involvement of group members with diverse and cross-disciplinary skill-set, the group aims to devise novel imaging and image analysis techniques, and develop them for clinical translation. The group’s efforts push the boundaries of diagnostic and surgical procedures as well as minimally-invasive interventions
Research in CAiM is conducted in close collaboration with clinical as well as industrial partners, where the research results have a strong translational component, both clinically and commercially. To that end, CAiM aims to develop innovative diagnostic and interventional applications, focusing on data analysis from imaging to abstracting patient-specific models and representations, and from there to optimal intervention planning and intra-operative execution.
Semester and master projects can be chosen in discussion with the group leader from a wide range of exciting topics, based also on the interests and background of the student.
