Medical Imaging

Deep Federated Learning in Healthcare

This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)

Deep Federated Learning in Healthcare

This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)

Learn from Crowds

Crowdsourcing, Gamification

Learn from Prior Knowledge

Manifold Learning, Graph Convolutional Networks

Learn to Adapt

Domain Adaptation, Style Transfer

Learn to Learn

Meta-Learning, Few-Shot Learning

Learn to Reason and Explain

Interpretable ML, Disentangled Representation, Fairness

Learn to Recognize

Detection, Classification, Segmentation, Anomaly Detection, Semi-/Weakly-Supervised Learning

Modelling Uncertainty in Deep Learning for Medical Applications

DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)

Telemedicine in Palestine

Telemedicine in Palestine from Shadi Nabil Albarqouni Collaboration: Funding: