Associate Professor
Leiden University Medical Center
Leiden, Zuid-Holland, Netherlands
Since 1992 I have been actively engaged in the research and development of dedicated automated and semi-automated image processing techniques for quantitative analysis of cardiovascular MR (CMR) imaging studies. Typical CMR studies comprise hundreds to thousands of images per subject, depending on the study protocol, providing detailed information on cardiac anatomy, function, flow, perfusion and tissue viability. The scale and complexity of these datasets necessitate advanced imaging analysis software to efficiently and robustly extract clinically relevant quantitative parameters.
A major focus of my research has been the development of automated contour detection and image segmentation methods for a wide range of cardiac MR imaging protocols, including 4D flow MRI. My recent research is mainly directed towards the development of machine learning techniques to derive relevant quantitative imaging biomarkers from cardiac MR, CT and ultrasound data.
To facilitate translation of these research outcomes into clinical practice and clinical research, my team and I have developed several research software packages that are currently used by numerous centers worldwide. Additionally, part of the developed technology has been transferred to medical imaging industry for further development into commercially available clinical software packages. Continuous interaction and feedback from clinical users of our software play a key role in generating new research directions.
Rapid Fire Session 5: CMR - Analysis (including machine learning) (Monitor 5)
Saturday, February 7, 2026
10:15 AM - 11:00 AM
