Shadi Albarqouni

Prof. Dr. Shadi Albarqouni leads the Computational Medical Imaging Research group at University of Bonn and Helmholtz AI, developing privacy-preserving AI systems for medical imaging. His research advances federated learning frameworks for multi-institutional collaboration while preserving data privacy.

Core innovations:

• FLamby framework for cross-silo federated learning
• Unsupervised anomaly detection in brain MRI
• Self-supervised vision models for medical imaging
• Affordable AI solutions for low-resource settings

Albarqouni's group addresses key challenges in medical AI including limited annotations, domain shift, and data heterogeneity. He serves as Program Co-Chair for MICCAI and Area Chair for MIDL conferences, contributing to standardization efforts through the FUTURE-AI guidelines for trustworthy medical AI.

Funded by DFG, DAAD and EU grants, his research includes multinational collaborations developing deep learning toolkits for MRI-guided adaptive radiotherapy and inherited retinal disease diagnosis.