Albarqouni Lab, located at the Clinic for Diagnostic and Interventional Radiology, University Hospital Bonn and Helmholtz AI, Helmholtz Munich, aims to develop the next generation of AI in Medicine, specifically computational imaging algorithms with a particular focus on artificial intelligence (AI) and machine learning (ML) models to improve the clinical workflow for patients, radiologists, and healthcare professionals. The lab is affiliated with the Munich School for Data Science (MUDS), the Medical Imaging Center Bonn (MIB), and the European Laboratory for Learning and Intelligent Systems (ELLIS).
The research at the Albarqouni Lab focuses on three main areas: computational medical imaging, federated learning in healthcare, and affordable AI and healthcare.
Active Research Themes. Thanks to our great collaborators!
Thanks to the 3rd party funding from EU, DFG, DAAD, BMBF, AGYA, GIZ and BaCaTec
BMBF Funded Project with the Arab-German Young Academy for Science and Humanities (2024-2024)
BMBF Funded Project through Medical Informatics Initaitive (MII) consortia (2024-2028)
DAAD Funded Project with Beirut Arab University, Lebanon (2023-2023)
The 3-year DFG Funded project with UniKlinikum Freiburg (2023-2026)
The 3-year DFG Funded project with LMU and TU Munich (2022-2025)
The 6-year EU Funded €70 million project called BIGPICTURE will herald a new era in pathology
This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)
DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)
Telemedicine in Palestine from Shadi Nabil Albarqouni Collaboration: Funding:
BaCaTeC Funded Project with Stanford University and Siemens AG (2020-2021)
Teaching courses, Theses, and Internships
Professional Services and Invited Talks
Admin., Research Assistants, PhDs, Postdocs, and Medical Research Assistants. We do accept applications on an on-going basis, so feel free to send your motivation letter, resume, and your transcript via email or here.