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.
Computational Imaging Reserach (Albarqouni Lab)
Machine Learning for healthcare, Computer Vision, Federated Learning
Machine Learning for Medical Imaging, Computer Vision
Machine Learning and Data Science for Medical Imaging, Natural Language Processing
Machine Learning for Medical Imaging, Vision-language Models, Explainable AI
Deep Learning in Medical Imaging, Image Reconstruction, Federated Learning, Weakly Supervised Learning
Machine and Deep Learning for Medical Imaging, Radiomics
Data science and Deep learning for medical image analysis, Disease modeling, Musculoskeletal system analysis
Food Safety, Food Technology, Artifical Intelligence
Natural Language Processing, Machine and Deep Learning, Security and Privacy, Evaluation Theorem
Funded and Active Projects. Thanks to our great collaborators!
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.