Computational Imaging

Lab: Computational Medical Imaging (CoMI)

The Computational Imaging Research (CoMI) Lab at the University of Bonn is a project-based lab where students carry out a semester-long research project in computational medical imaging, implementing and evaluating state-of-the-art algorithms on real medical data.

Block Course: AI in Medicine (AiM): Foundations, Methods, and Critical Perspectives

This AiM block course offers an intensive introduction to artificial intelligence in medicine, with a focus on modern deep learning methods for biomedical and clinical applications. Designed as an interdisciplinary format, the course combines concept-driven lectures with interactive labs, allowing students to engage both with the theoretical foundations of AI and with practical challenges in medical data analysis.

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.