Shadi Albarqouni

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Professor of Computational Medical Imaging Research; Group Leader

University of Bonn

Germany

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About

Shadi Albarqouni is a Professor of Computational Medical Imaging Research at the University of Bonn, Germany. His research interests focus on the integration of artificial intelligence in medical imaging, with recent work including advancements in lymphocyte assessment, brain anomaly detection, and skin lesion classification. He has contributed to the field through various publications exploring the applications of deep learning and semi-supervised learning in medical contexts.

Recent Grants

Grant: Close

Deep Federated Learning in Healthcare

Open Date: 2020-11-01

Close Date: 2025-10-01

Grant: Close

Modelling Uncertainty in Deep Learning for Medical Applications

Open Date: 2019-11-01

Close Date: 2020-10-01

Grant: Close

Machine Learning for Biomedical Applications: From Crowdsourcing to Deep Learning

Open Date: 2012-10-01

Close Date: 2016-12-01

Positions (1)

Shadi Albarqouni

University Name

University of Bonn

3 months ago

PhD in AI in Medicine and Medical Imaging at University of Bonn

PhD opportunity in AI in Medicine and medical imaging at the University of Bonn / Universitätsklinikum Bonn , led by Professor Shadi Albarqouni (Computational Medical Imaging Research; Group Leader at Helmholtz AI). The project is aimed at strong candidates with a background in deep learning , medical imaging , and AI in medicine . Prior publications in venues such as MICCAI and IEEE Transactions on Medical Imaging (TMI) are highlighted as a strong advantage. The post explicitly welcomes applicants interested in applying through a DAAD German Academic Exchange Service scholarship . No stipend amount, tuition details, or other funding terms are specified in the post. Application information is available on the linked project page. The post states that last-minute applications are accepted until Sunday, 19 July 2026 , and the shortlist will be finalized on Monday, 20 July 2026 . Relevant research keywords: AI in medicine , medical imaging , deep learning , computational medical imaging , machine learning .

3 months ago