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The research project EPSOMIP brings together a multidisciplinary team of researchers with a shared interest in exploring the link between fatty liver, epicardial fat, and cardiovascular disease in type 2 diabetes.

CMIV conducts focused front-line research providing solutions to tomorrow鈥檚 clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

Medical Digital Twin (MeDigiT) is a platform with the aim of facilitating the use of personalized digital models in healthcare. The platform is a meeting place for stakeholders in the subject of medical digital twins.

This project is focusing on Quantitative MRI of the brain. Quantitative MRI is a novel and promising technique for diagnose or prognose disease and to determine the choice of therapy, or to monitor the result of the chosen therapy.

Advanced CT creates amazing visualization of the beating heart. However, the complex interactions of blood flow are not fully reflected by these images. This project aims to extract blood flow data from CT images using image-based simulations.

This flagship is an umbrella project of several different research projects all involved in the new photon counting detector computed tomography (PCD-CT), which is especially well suited for musculoskeletal imaging.

Metabolic dysfunction-associated steatotic liver disease (MASLD) previously known as non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease which has become the most common liver disease affecting adults and children.

Here you will find a selection of the latest publications produced by the CMIV researchers.

Craving alcohol and an impaired ability to stop drinking despite adverse consequences are key features of alcohol addiction. This project aims to find a noninvasive brain stimulation method that can be used as treatment for addiction.