Funded projects & research collaborations

Projects

Partner with us: EU consortia, joint grants and fellowships →

14currently active

47partner institutions in 17 countries

47 partner institutions of our projects · hover or tap a dot for details

44 shown

MISTAI: Medical Intelligence & Skills Training in AI

Funded · 2026 · MISTAI

MISTAI: Medical Intelligence & Skills Training in AI

Bilateral UKB–Dnipro State Medical University project, funded by the NRW Ministry of Culture and Science, building an AI pipeline and training programme in …

Medical Imaging Responsible AI Federated Learning Pathology

OpenMed Resilience Kit: AI-Augmented Open-Source Diagnostics

Research collaboration · 2026 – ongoing

OpenMed Resilience Kit: AI-Augmented Open-Source Diagnostics

A project of the AGYA Working Group Innovation, advancing open-source hardware medical devices with AI for resilient diagnostics in underserved and …

Responsible AI Global Health

AI-Assisted Smart Interventional Needles with Engineered Acoustic Surfaces for Robust Ultrasound Visualization

Research collaboration · 2025 – 2027

AI-Assisted Smart Interventional Needles with Engineered Acoustic Surfaces for Robust Ultrasound Visualization

Research collaboration led by Hamad Bin Khalifa University (HBKU), Qatar, with Sidra Medicine and the University of Bonn (2025–2027) — smart needles and AI that …

Medical Imaging Interventional Point-of-Care

Summer School on Biomedical Imaging with Deep Learning (BILD)

Funded · 2025 · BILD

Summer School on Biomedical Imaging with Deep Learning (BILD)

Summer school on deep learning for biomedical imaging in Tunis (1–5 September 2025), organised within the SANAD network with the University of Tunis El Manar, …

Medical Imaging Responsible AI Point-of-Care Global Health

Strategic Arab-German Network for Affordable and Democratized AI (SANAD)

Funded · 2025 · SANAD

Strategic Arab-German Network for Affordable and Democratized AI (SANAD)

DAAD Funded Project (2025-2025)

Medical Imaging Responsible AI Federated Learning Point-of-Care Global Health

KI-gestützte Diagnostik von Tumoren am Auge: Dignitätseinordnung von Lidtumoren mittels KI zur optimierten Patienteneinbestellung

Funded · 2025 – ongoing · Eyelid Tumour AI

KI-gestützte Diagnostik von Tumoren am Auge: Dignitätseinordnung von Lidtumoren mittels KI zur optimierten Patienteneinbestellung

Prototyping grant of the University of Bonn (Transfer Center enaCom) to develop an app that supports the assessment and classification of eyelid tumours — …

Responsible AI Ophthalmology Point-of-Care

Health Technology Assessment System in the UAE: From System Analysis and Understanding toward System Building and Strengthening

Research collaboration · 2025 – 2027

Health Technology Assessment System in the UAE: From System Analysis and Understanding toward System Building and Strengthening

Research collaboration led by Canadian University Dubai with McGill University and the University of Bonn, funded by the Dubai Future Foundation (Dubai RDI …

Responsible AI Global Health

Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders

Funded · 2025 – 2026

Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders

Bonn International Fellowship (2025–2026) with Dr. Ceren Tozlu (Weill Cornell Medicine) — AI, advanced neuroimaging and federated learning to detect lesions and …

Medical Imaging Neuroradiology

AI in Radiology – From Pixels to Decisions (joint teaching with GUC)

Funded · 2025 · AiR-GUC

AI in Radiology – From Pixels to Decisions (joint teaching with GUC)

BMFTR-funded joint teaching seminar between the University of Bonn and the German University in Cairo (2025).

Responsible AI Radiology

Summer School on Affordable AI (SAAI)

Funded · 2024 · SAAI

Summer School on Affordable AI (SAAI)

Summer school funded by BMFTR and the Arab-German Young Academy of Sciences and Humanities (AGYA), 2024.

Medical Imaging Responsible AI Point-of-Care Global Health

Robust surgical tool segmentation with state-space vision models

Research collaboration · 2024 – 2025

Robust surgical tool segmentation with state-space vision models

This exploratory collaboration investigated state-space vision models for robust surgical tool segmentation under realistic visual corruptions.

Medical Imaging Interventional

MRIQT: Image-quality transfer from ultra-low-field to high-field neonatal MRI

Research collaboration · 2024 – ongoing

MRIQT: Image-quality transfer from ultra-low-field to high-field neonatal MRI

This project addresses the limited diagnostic usability of portable ultra-low-field MRI (0.064 T) in neonatal neuroimaging, where reduced signal-to-noise ratio …

Medical Imaging Responsible AI Neuroradiology Point-of-Care

INTERACT-CMIL: Interpretable multi-task grading of conjunctival melanocytic lesions

Research collaboration · 2024 – ongoing

INTERACT-CMIL: Interpretable multi-task grading of conjunctival melanocytic lesions

This project addresses the grading of conjunctival melanocytic intraepithelial lesions (CMIL), rare precursors of conjunctival melanoma characterized by …

Medical Imaging Responsible AI Pathology Ophthalmology

Bias-aware foundation models for equitable breast cancer screening

Research collaboration · 2024 – ongoing

Bias-aware foundation models for equitable breast cancer screening

This project addresses fairness and generalization challenges of foundation models for breast mammography, where AI systems trained predominantly on data from …

Responsible AI Medical Imaging Radiology Women's & Fetal

Affordable AI and Collaborative Federated Learning for Global Healthcare (EEDA)

Funded · 2023 · EEDA

Affordable AI and Collaborative Federated Learning for Global Healthcare (EEDA)

DAAD Funded Project with Beirut Arab University, Lebanon (2023-2023)

Medical Imaging Responsible AI Federated Learning Point-of-Care Global Health

Federated foundation models for multi-center CT staging of pancreatic cancer

Research collaboration · 2023 – ongoing

Federated foundation models for multi-center CT staging of pancreatic cancer

This project addresses preoperative staging of pancreatic ductal adenocarcinoma (PDAC), where lymph node metastasis is a major prognostic factor but CT-based …

Medical Imaging Federated Learning Radiology

Utilising Artificial Intelligence in Cancer Imaging To Improve Patient Outcomes

Funded · 2023 – 2024

Utilising Artificial Intelligence in Cancer Imaging To Improve Patient Outcomes

Bonn-Melbourne Research Excellence Fund (2023-2024)

Medical Imaging Radiology

Open Medical Inference (OMI)

Funded · 2023 – 2027 · OMI

Open Medical Inference (OMI)

BMBF Funded Project through Medical Informatics Initaitive (MII) consortia (2024-2028)

Medical Imaging Federated Learning Radiology

Deep learning to estimate aging from chest imaging

Funded · 2023 – 2026

Deep learning to estimate aging from chest imaging

The 3-year DFG Funded project with UniKlinikum Freiburg (2023-2026)

Medical Imaging Responsible AI Federated Learning Radiology

Deep learning for clinically significant prostate cancer in 3D mpMRI and MR Fingerprinting

Research collaboration · 2023 – 2024

Deep learning for clinically significant prostate cancer in 3D mpMRI and MR Fingerprinting

This project addresses the detection and characterization of clinically significant prostate cancer (csPCa) in MRI, where diagnostic performance is limited by …

Medical Imaging Radiology

AI for predicting the technological and phenolic maturity of pomegranates in Lebanon

Funded · 2023 – 2025 · Pomegranate AI

AI for predicting the technological and phenolic maturity of pomegranates in Lebanon

AGYA interdisciplinary project with Beirut Arab University that uses machine learning on smartphone photographs, physical, geographical and climate data to …

Responsible AI Vision & Transdisciplinary

Federated learning for musculoskeletal segmentation in CT

Research collaboration · 2022 – 2023

Federated learning for musculoskeletal segmentation in CT

This collaboration explored federated learning for musculoskeletal segmentation in CT imaging across institutions in Germany and Japan.

Federated Learning Medical Imaging Radiology

Deep learning for fetal diaphragmatic hernia detection in ultrasound

Research collaboration · 2022 – 2023

Deep learning for fetal diaphragmatic hernia detection in ultrasound

Congenital diaphragmatic hernia (CDH) is a rare but severe fetal malformation associated with high neonatal morbidity and mortality, where early detection is …

Medical Imaging Point-of-Care Women's & Fetal

Affordable deep learning for inherited and common retinal diseases

Research collaboration · 2022 – 2024

Affordable deep learning for inherited and common retinal diseases

This international collaboration addresses the diagnosis of inherited retinal diseases (IRDs) and common retinal disorders using affordable color fundus …

Responsible AI Medical Imaging Ophthalmology Point-of-Care Global Health

Large vision models for robust and trustworthy medical image understanding

Research collaboration · 2022 – 2024

Large vision models for robust and trustworthy medical image understanding

This collaboration investigates the applicability of large vision models to medical imaging, addressing robustness, generalization, and trustworthiness under …

Medical Imaging Responsible AI Radiology

GCA-US-AI: Deep learning–based ultrasound diagnosis of Giant Cell Arteritis

Research collaboration · 2022 – ongoing

GCA-US-AI: Deep learning–based ultrasound diagnosis of Giant Cell Arteritis

In close interdisciplinary cooperation with clinical rheumatology, this project addresses the highly operator-dependent and time-critical ultrasound diagnosis …

Medical Imaging Responsible AI Ophthalmology Point-of-Care

Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy

Funded · 2022 – 2026

Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy

The 3-year DFG Funded project with the University Hospital Bonn, LMU and TU Munich (2022-2025)

Medical Imaging Responsible AI Radiology

FLamby: Federated learning benchmarks for realistic healthcare settings

Research collaboration · 2021 – 2022

FLamby: Federated learning benchmarks for realistic healthcare settings

A central bottleneck in federated learning research is the lack of realistic, multi-center benchmarks reflecting the heterogeneity of clinical data.

Federated Learning Pathology Radiology

Unsupervised anomaly detection in full-head CT for emergency triage

Research collaboration · 2021 – 2022 · deepc Head CT

Unsupervised anomaly detection in full-head CT for emergency triage

Collaboration with the Munich radiology-AI company deepc on unsupervised anomaly detection in volumetric head CT — prioritising emergency scans for any …

deepc GmbH

Medical Imaging Radiology Neuroradiology

FUTURE-AI: International guidelines for trustworthy medical AI

Research collaboration · 2021 – 2025

FUTURE-AI: International guidelines for trustworthy medical AI

International consortium of 117 experts from 50 countries that defined FUTURE-AI, the first international consensus guideline for trustworthy and deployable AI …

Eyesight to AI: Discovery of efficient corrosion modulators via predictive machine learning models

Funded · 2021 – 2023 · Eyesight to AI

Eyesight to AI: Discovery of efficient corrosion modulators via predictive machine learning models

Helmholtz-funded cooperation with Helmholtz-Zentrum hereon applying deep learning to high-throughput corrosion screening (2021–2023).

Medical Imaging Vision & Transdisciplinary

FedDis: Federated disentangled representation learning for brain anomaly detection

Research collaboration · 2020 – 2022

FedDis: Federated disentangled representation learning for brain anomaly detection

This research line addressed one of the central methodological challenges in collaborative medical AI: how to learn clinically meaningful representations across …

Federated Learning Medical Imaging Neuroradiology

Deep Federated Learning in Healthcare

Funded · 2020 – 2025

Deep Federated Learning in Healthcare

This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)

Medical Imaging Responsible AI Federated Learning Radiology

Uncertainty Aware Methods for Camera Pose Estimation and Relocalization

Funded · 2020 – 2021

Uncertainty Aware Methods for Camera Pose Estimation and Relocalization

BaCaTeC Funded Project with Stanford University and Siemens AG (2020-2021)

Medical Imaging Vision & Transdisciplinary

Modelling Uncertainty in Deep Learning for Medical Applications

Funded · 2020 – 2022

Modelling Uncertainty in Deep Learning for Medical Applications

DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)

Medical Imaging Responsible AI Radiology Neuroradiology

BigPicture Project

Funded · 2020 · BIGPICTURE

BigPicture Project

European IMI2 consortium building the largest platform of digital pathology images for AI (2021–2027). We took part at TU Munich, contributing federated …

Medical Imaging Responsible AI Federated Learning Pathology

AI for Hematology: Trustworthy digital staining and classification of white blood cells

Funded · 2020 – 2023 · AI for Hematology

AI for Hematology: Trustworthy digital staining and classification of white blood cells

Academia–industry collaboration with Siemens AG and TU Munich that replaced the chemical staining of blood smears with a digital one — generative models that …

Medical Imaging Responsible AI Hematology

Explainable AI for rare blood disorders

Research collaboration · 2019 – 2022 · Rare Blood Disorders

Explainable AI for rare blood disorders

Collaboration with Carsten Marr (Helmholtz Munich) on explainable deep learning for diagnosing rare anaemias and blood cell disorders — attention-based and …

Medical Imaging Responsible AI Hematology

LYSTO: Benchmark and hackathon for lymphocyte assessment

Research collaboration · 2019 – 2024

LYSTO: Benchmark and hackathon for lymphocyte assessment

Reliable assessment of tumor-infiltrating lymphocytes in immunohistochemistry is clinically relevant for prognosis and immunotherapy decision-making but remains …

Medical Imaging Pathology

Disentangled, fair and discriminative representations for ophthalmic imaging

Funded · 2018 – 2021 · ZEISS Representation Learning

Disentangled, fair and discriminative representations for ophthalmic imaging

Industry project with Carl Zeiss Meditec on representation learning for medical imaging — microaneurysm segmentation for diabetic-retinopathy screening, …

Carl Zeiss Meditec AG

Responsible AI Ophthalmology

CAD model-based detection and tracking of large objects

Funded · 2017 – 2019 · Siemens CAD

CAD model-based detection and tracking of large objects

Industry project with Siemens AG (Corporate Technology) on learning the pose of large industrial objects and of the camera or X-ray device observing them, using …

Medical Imaging Vision & Transdisciplinary

Virtual staining in digital pathology: GAN-based stain virtualization of whole slide images

Funded · 2016 – 2020 · Roche Virtual Staining

Virtual staining in digital pathology: GAN-based stain virtualization of whole slide images

Industry project with Roche Diagnostics on virtual staining in digital pathology — generating immunohistochemistry stains from tissue images with unsupervised …

Medical Imaging Pathology

Optimisation of X-ray images with respect to image quality and dose

Funded · 2016 – 2019 · Siemens X-ray

Optimisation of X-ray images with respect to image quality and dose

Industry project with Siemens Healthineers (Advanced Therapies, Forchheim) on lowering the X-ray dose of interventional imaging without losing image quality — …

Medical Imaging Radiology Interventional

Telemedicine in Palestine

Research collaboration · 2007 – 2014

Telemedicine in Palestine

Between 2007 and 2014, a proposal for a telemedicine centre in the Gaza Strip — medical equipment on a private network and a platform built on electronic health …

Responsible AI Point-of-Care Global Health