Projects | Albarqouni Lab

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

Symposium on AI in Medicine & Food Science

completed

Funded · 2025

Symposium on AI in Medicine & Food Science

Medical Imaging Responsible AI Federated Learning

Summer School on Biomedical Imaging with Deep Learning (BILD)

completed

Funded · 2025 · BILD

Summer School on Biomedical Imaging with Deep Learning (BILD)

DAAD Funded Project (2025-2025)

Medical Imaging Responsible AI

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

completed

Funded · 2025 · SANAD

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

DAAD Funded Project (2025-2025)

Medical Imaging Responsible AI Federated Learning

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

active

Funded · 2025 – 2026

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

Bonn International Fellowships (2024 - 2025)

Medical Imaging

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

completed

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

completed

Funded · 2024 · SAAI

Summer School on Affordable AI (SAAI)

BMBF Funded Project with the Arab-German Young Academy for Science and Humanities (2024-2024)

Medical Imaging Responsible AI

Robust surgical tool segmentation with state-space vision models

completed

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

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

active

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

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

active

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

Bias-aware foundation models for equitable breast cancer screening

active

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

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

completed

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

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

active

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

Utilising Artificial Intelligence in Cancer Imaging To Improve Patient Outcomes

completed

Funded · 2023 – 2024

Utilising Artificial Intelligence in Cancer Imaging To Improve Patient Outcomes

Bonn-Melbourne Research Excellence Fund (2023-2024)

Medical Imaging

active

Funded · 2023 – 2027 · OMI

Open Medical Inference (OMI)

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

Medical Imaging Federated Learning

Deep learning to estimate aging from chest imaging

active

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

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

completed

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

Federated learning for musculoskeletal segmentation in CT

completed

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

Deep learning for fetal diaphragmatic hernia detection in ultrasound

completed

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

Affordable deep learning for inherited and common retinal diseases

completed

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

Large vision models for robust and trustworthy medical image understanding

completed

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

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

active

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

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

active

Funded · 2022 – 2026

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

The 3-year DFG Funded project with LMU and TU Munich (2022-2025)

Medical Imaging Responsible AI

FLamby: Federated learning benchmarks for realistic healthcare settings

completed

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

active

Funded · 2021 – 2027 · BIGPICTURE

BigPicture Project

The 6-year EU-funded BIGPICTURE project will herald a new era in pathology

Medical Imaging Responsible AI Federated Learning

Interpretable learning for rare disease classification in computational hematology

completed

Research collaboration · 2021 – 2024

Interpretable learning for rare disease classification in computational hematology

This research line addresses automated analysis of hematological disorders from microscopic blood images, where rare diseases, limited annotations, and …

Medical Imaging

FUTURE-AI: International guidelines for trustworthy medical AI

completed

Research collaboration · 2021 – 2025

FUTURE-AI: International guidelines for trustworthy medical AI

This collaboration contributes to the development of international guidelines, evaluation frameworks, and best practices for trustworthy artificial intelligence …

Responsible AI

completed

Funded · 2021 – 2023 · Eyesight to AI

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

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

Medical Imaging

FedDis: Federated disentangled representation learning for brain anomaly detection

completed

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

completed

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

Uncertainty Aware Methods for Camera Pose Estimation and Relocalization

completed

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

Modelling Uncertainty in Deep Learning for Medical Applications

completed

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

completed

Research collaboration · 2020 – 2023

Digital staining with confidence estimation for hematological imaging

This project investigated the reliability of generative image translation for digital staining of hematological microscopy images, aiming to reduce variability …

Medical Imaging Responsible AI

LYSTO: Benchmark and hackathon for lymphocyte assessment

completed

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 …