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Rasmus Reinhold Paulsen is a Professor at the Technical University of Denmark, specializing in cardiovascular risk prediction through advanced medical image analysis. His research focuses on utilizing large 3D image databases in collaboration with the DTU Heart Center and Rigshospitalet, where he trains deep learning models to analyze complex data associated with demographics, biochemistry, and cardiovascular outcomes. His objective is to identify previously unrecognized image biomarkers that can aid in the early detection of cardiovascular risks such as stroke and cardiac death. He employs modern deep learning techniques to manage intricate 3D data models and is researching new ways to represent this data through implicit surface descriptors and texture parameterization, aiming to create compact, information-preserving models that leverage the capabilities of deep learning. Paulsen has also explored the generative modeling of human heart geometries to better understand the effects of lifestyle choices on cardiac health.
Technical University of Denmark • Kgs. Lyngby, Denmark
Oticon A/S • Denmark
Oticon A/S • Denmark
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.