This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)
Crowdsourcing, Gamification
Manifold Learning, Graph Convolutional Networks
Domain Adaptation, Style Transfer
Meta-Learning, Few-Shot Learning
Interpretable ML, Disentangled Representation, Fairness
Detection, Classification, Segmentation, Anomaly Detection, Semi-/Weakly-Supervised Learning
DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)
BaCaTeC Funded Project with Stanford University and Siemens AG (2020-2021)