Team: Dr. med. univ. Philipp Deisl (PhD candidate); Univ.-Prof. Dr. med. Astrid Grams, MBA; Univ.-Prof. Dr. med. Elke Gizewski, MHBA, EBIR
Cooperation: Department of Neurology, VascAge GmbH, Priv.-Doz. Dr. Lukas Neumann, Department of Technical Mathematics (Leopold-Franzens-Universität University, Innsbruck)

In this project, the calcification burden of supra-aortic and intracranial arteries is examined quantitatively and qualitatively, using various methods. The aim is to establish a risk stratification for the occurrence of stroke, associated complications, and prognosis by using this imaging biomarker.

Team: Priv.-Doz. Dr. med. univ. Stephanie Mangesius, PhD; Univ.-Prof. Dr. med. Elke Gizewski, MHBA, EBIR
Cooperation: Department of Neurology, VascAge GmbH, Priv.-Doz. Dr. Lukas Neumann, Markus Tiefenthaler (PhD candidate), Department of Technical Mathematics (Leopold-Franzens-Universität University, Innsbruck)

In this project, an automated, modality-independent deep learning-based method for the segmentation supra-aortic and intracranial arteries is being developed.

Team: Priv.-Doz. Dr. med. univ. Stephanie Mangesius, PhD; Univ.-Prof. Dr. med. Astrid Grams, MBA; Univ.-Prof. Dr. med. Elke Gizewski, MHBA,EBIR, Benedikt Bachhuber; Viviana Messa, Peter Triendl
Cooperation: Department of Neurology, VascAge GmbH

In this database project, imaging and clinical data of patients with one or multiple cardiovascular events are collected. From this database, various questions are investigated, such as the connection between the type of imaging and clinical outcomes, or potential influencing factors on the recurrence of a cardiovascular event.