Bjoern M. Eskofier

FL-Net is a novel federated clinical research framework that integrates modular data harmonization, data discovery, disclosure control, securely built versioned FL-Net-Tools and containerized federated workflow execution into a persistent network and enables the re-use of harmonized data and workflows across studies.

Normalizing flows can achieve real-time, uncertainty-aware radar pose estimation while outperforming traditional diffusion models in both speed and calibration accuracy.

Achieving biomechanical accuracy in human motion estimation from sparse radar data could revolutionize rehabilitation monitoring and analysis.