Deep Learning

Invited Keynote at the 12th International Conference on Intelligent Computing and Information Systems (ICICIS) in Cairo, Egypt

I had the pleasure to give a keynote on Leveraging Collective Intelligence for Inclusive Global Healthcare at the 12th International Conference on Intelligent Computing and Information Systems (ICICIS) in Cairo, Egypt. I had the chance to meet and discuss further collaboration with the dean at the Ain Shams University Prof. Dr. Rasha Ismail, Prof. Dr. Hassan Abdalla from East London University, and Prof. Robert Sloan, from University of Illinois Chicago, and Prof. Huan Liu from Arizona Satet University.

Seminar: Computational Medical Imaging (CoMI)

The Computational Imaging Research (CoMI) Seminar at the University of Bonn explores current research in Computational Medical Imaging, including classical algorithms and deep learning-based approaches. Students critically analyze state-of-the-art research and develop both technical and presentation skills.

Special Version: AI in Radiology – From Pixels to Decisions (AiR-GUC Edition)

A special joint seminar between the University of Bonn and the German University in Cairo (GUC), delivered under the Joint Teaching Initiative. This interdisciplinary course explores AI in Radiology from both technical and clinical perspectives, combining computational medical imaging and deep learning to foster cross-cultural collaboration, innovation, and sustainable academic exchange.

CIR/01/2025: Postdoc/Research Staff position in Computational Medical Imaging (m/f/d)

starting Oct. 2025 or as agreed upon. The position is initially limited to one year.

Call for Applications: Summer School on Biomedical Imaging with Deep Learning (BILD)

Our lab at Universitätsklinikum Bonn, and The University of Bonn in cooperation with the Lebanese American University, University of Tunis El Manar, and Duhok Polytechnic University are delighted to announce the upcoming BILD Summer School in Tunis, 1-5 September 2025.

Summer School on Biomedical Imaging with Deep Learning (BILD)

DAAD Funded Project (2025-2025)

Poster presentation at Helmholtz AI Conference 2025: AI for Science

From 3–5 June 2025, David presented our research in *Multi-center Collaboration for Improved Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma* as a poster at Helmholtz AI Conference 2025 (HAICON25) at Karlsruhe, Germany. Bringing together over 600 researchers, industry practitioners, and students to explore cutting-edge AI applications in the sciences

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

DAAD Funded Project (2025-2025)

Invited Lecture at the Charité – Universitätsmedizin Berlin, Germany

As an Invited Lecturer for the Digital Health and Artificial Intelligence module at Charité – Universitätsmedizin Berlin’s Institute of International Health, I delivered a focused lecture on deep learning algorithms and their medical applications—highlighting federated learning—and had the privilege of engaging with a diverse, global cohort of brilliant medical professionals from Germany, other European countries and the U.S., Africa, the Eastern Mediterranean Region, Asia, and South America.

Invited Talk at the 3rd Symposium on International Pathways to Precision Medicine Symposium (P2M Symposium), Rouen, France

I had the honor of delivering an invited talk at the p2m Symposium, where I had the opportunity to share my work and connect with distinguished experts in the field. The event was an enriching platform that allowed me to engage directly with thought leaders, including Ellen GRANT from Harvard, Fouad CHEBIB from Mayo Clinic, and Ivana Dabaj from Rouen. I am particularly grateful to the event chairs, Soumaya and Abdellah from Rouen, whose exceptional leadership and support made this gathering truly memorable.