Cardiovascular disease remains the leading cause of death worldwide. Medical imaging plays a central role in cardiovascular disease management, enabling clinicians ad scientists to visualize and quantify both structural and functional abnormalities of the heart and vasculature. Further, the integration of advanced biomedical engineering tools (machine learning; computational modelling; bioinformatics) with medical imaging is starting to fundamentally change what we can image, and what we can quantify with clinical imaging systems.
Led by David Marlevi, our research seeks to develop and implement image-based utilities to better diagnose, predict, and mechanistically understand cardiovascular disease. Being tightly connected to numerous collaborators across basic to clinical sciences, as well as with close connection to the Karolinska University Hospital, the team continuously seeks to produce impacting translational work with direct clinical relevance.
Group Members
Oliver Welin Odeback (PhD)
Pia Callmer (PhD)
Vincent Lechner (PhD)
Joakim Norderfeldt (PhD)
Evangelos Stamos (PhD)
Arisa Kitagishi (PhD)
Mariana Brejo (Postdoc)
Javier Bisbal (Postdoc)
Pau Romero (Affiliated)