Within this interdisciplinary, collaborative research project, we will develop mathematical and algorithmic solutions for analyzing adzes/axes and grinding stones -...
Model-Regularized Learning Of Complex Dynamical Behavior
This project is planned to couple machine learning approaches, especially from the field of Deep Learning, with (reduced) ODE models in the sense that the model becomes...
Geometric Learning for Single-Cell RNA Velocity Modeling
Recent advances in Single-Cell RNA sequencing allow to infer both the gene expression of a cell and the so-called "velocity vector" initializing the changes in that...
Geometry-aware, data-analytic approaches improve understanding and assessment of pathophysiological processes. We will derive a new theoretical framework for deep neural...
This project deals with spaces of manifold-valued curves and associated shape spaces, and is based on Riemannian tools for elastic shape analysis. We plan to study...
In cooperation with one of the leading fashion retailers, we investigate and develop methods to accurately simulate the fitting of cloth.For that we develop methods to...
IntroductionThe aim of this project is the development of MRI-based methods and technologies for non-invasive in vivo assessment of s 3D soft tissue kinematics in knee...
Changes in limb or joint anatomy (e.g., due to injury or surgery) may lead to functional impairment. Accurate measurement of skeletal kinematics provides the key to...
