The UoC is the oldest and largest university in Denmark. It is ranked as the best university in Scandinavia and as number 2 in the European Union according to the Academic Ranking of World Universities (ARWU) 2021 in computer science. The Computer Science department has several strong research groups focusing on machine learning and image analysis, each consisting of approximately 60 researchers, many specialized in medical image analysis. The UoC Department of Computer Science is heading 2 centers within Artificial Intelligence: the SCIENCE AI Center and the Pioneer Center within Artificial Intelligence and has prior experience with coordinating EU projects, such as the RAINBOW consortium. As such, the UoC has a track-record of, and is well suited to, support the development and research in machine learning and medical image analysis methods and provides access to large computing clusters and IT infrastructure for the computational needs. The UoC researchers involved in ARTILLERY have a strong track record with many years of experience in developing novel machine learning techniques for medical image analysis, including quantitative analysis of lung and heart structures in CT imaging, including radiotherapy data and planning CT scans.
Frederik V. Carstensen, MD, PhD associate
Team member
Frederik V. Carstensen, MD, is a PhD-student within the ARTILLERY project. He has six years of experience as a resident doctor and for three of these years he has been working at the Department of Clinical Oncology at Copenhagen University Hospital – Rigshospitalet helping to treat breast cancer patients, as well as patients with other cancer diagnoses.
His primary roles in ARTILLERY are to coordinate a survey [study] on patients attitudes towards AI-generated risk prediction and to assist in the development of an AI-model to predict COPD.
