Geometry-aware, data-analytic approaches improve understanding and assessment of pathophysiological processes. We will derive a new theoretical framework for deep neural...
Manifold-Valued Graph Neural Networks
Morphological Scoring of Disease States
The understanding of anatomical shapes as well as their variations over time or among individuals is crucial in medical diagnostics and therapy. Riemannian shape...
Treating Osteoarthritis in Knee with Mimicked Interpositional Spacer
One aim of this project is to analyze a large set of medical image data with respect to the anatomy of the knee joint. The aim is to determine the variation in shape of...
