Albarqouni Lab — Computational Medical Imaging Research (CoMI), University of Bonn

Collective Intelligence for Inclusive Medical AI

We build medical-imaging AI that is reliable enough for the clinic, learns across hospitals without moving patient data, and works where resources are scarce — across three interconnected themes: Computational Medical Imaging, Affordable & Responsible AI and Federated Learning. At the University of Bonn & University Hospital Bonn.

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163
publications
20,826
citations · h-index 45
37
projects · 11 active
52
partners · 28 countries

Research themes

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Computational Medical Imaging Medical foundation models, multimodal imaging and uncertainty — methods that turn images into reliable clinical evidence. 155 papers 33 projects 14 courses 26 resources Affordable & Responsible AI Fairness and robustness across populations and resource settings — AI that is affordable, trustworthy and works for everyone. 56 papers 21 projects 6 courses 10 resources Federated Learning Multi-centre evidence without moving clinical data — collaborative, privacy-preserving learning across hospitals. 20 papers 12 projects 8 courses 8 resources

Latest news & media

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Medical Pitch Contest Bonn Oct 2026 · Bonn, GermanyMedical Pitch Contest Bonn Our Lab at MICCAI 2026 in Strasbourg Sep 2026 · Strasbourg, FranceOur Lab at MICCAI 2026 in Strasbourg Two Awards to Attend MICCAI 2026 in Strasbourg Sep 2026 · Strasbourg, FranceTwo Awards to Attend MICCAI 2026 in Strasbourg Invited Talk at Karman Conference on Innovations in non-invasive and computational imaging Sep 2026 · Aachen, GermanyInvited Talk at Karman Conference on Innovations in non-invasive and computational imaging BONFOR Symposium & Promotionsbörse in Bonn Jun 2026 · Bonn, GermanyBONFOR Symposium & Promotionsbörse in Bonn HAICON 2026 – AI for Science Conference Jun 2026 · Munich, GermanyHAICON 2026 – AI for Science Conference OMI Plenary Meeting in Erlangen Apr 2026 · Erlangen, GermanyOMI Plenary Meeting in Erlangen Our first cohort of the BIGS block course on AI in Medicine Apr 2026 · Bonn, GermanyOur first cohort of the BIGS block course on AI in Medicine

Active projects

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Featured publications

Medical Image Analysis · 2026 When multi-institutional dataset aggregation masks shortcut-like behavior in Foundation Models for medical imaging Q1IF 11.8 Scientific Reports · 2026 Federated CT foundation models for multi-center detection of lymph node metastasis in pancreatic cancer Q1IF 4.9 The BMJ · 2025 FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Q1IF 42.7 Annals of the rheumatic diseases · 2025 Exploring the limit of image resolution for human expert classification of vascular ultrasound images in giant cell arteritis and healthy subjects: the GCA-US-AI project Physics and Imaging in Radiation Oncology · 2025 Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: a framework conditioned on prior segmentation MICCAI · 2025 Bias and generalizability of foundation models across datasets in breast mammography CORE A29% acc.

Recent publications

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We are hiring

1 open position — join us in Bonn.

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