Prof. Dr.-Ing. Sigrid Leyendecker

Institute of Applied Dynamics

Comparison of muscle path predictions using OpenSim and a novel geodesic model (2024) Chen X, Lavaill M, Heinrich S, Pivonka P, Leyendecker S Conference contribution, Conference Contribution Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach (2024) Fleischmann S, Dietz S, Shanbhag J, Wünsch A, Nitschke M, Miehling J, Wartzack S, et al. Journal article, Original article Optimal Control Simulation of Full Hand Flexion MovementsExploiting Optical Marker Tracking (2024) Heinrich S, Coppers B, Liphardt AM, Leyendecker S Conference contribution, Conference Contribution Research at the Institute of Applied Dynamics (2024) Leyendecker S Conference contribution, Conference Contribution Comparison of muscle path predictions using OpenSim and anovel geodesic model (2024) Chen X, Lavaill M, Heinrich S, Pivonka P, Leyendecker S Conference contribution, Conference Contribution Automated model discovery for human cardiac tissue (2024) Martonová D, Peirlinck M, Linka K, Holzapfel GA, Leyendecker S, Kuhl E Conference contribution, Conference Contribution Geometric numerical integration (2024) Konopik M, Leyendecker S Conference contribution, Conference Contribution A new Lagrangian approach to regular control-affine mechanical systems (2024) Sato Martin de Almagro R, Szemenyei F, Ober-Blöbaum S, Leyendecker S Conference contribution, Conference Contribution Classification of rheumatoid arthritis from hand motion capture data using machine learning (2024) Fleischmann S, Holzwarth Correa V, Coppers B, Sadeghi M, Richer R, Kleyer A, Simon D, et al. Conference contribution, Conference Contribution Biomechanical modelling and simulation — Muskuloskeletal systems (2024) Leyendecker S Conference contribution, Abstract of lecture