University Hospital RWTH Aachen

As a supramaximal care provider, the University Hospital RWTH Aachen combines patient-oriented medicine and care, teaching and research at an international level. With 36 specialist clinics, 33 institutes and six interdisciplinary units, the university clinic covers the entire medical spectrum. Outstandingly qualified teams of doctors, nurses and scientists work competently for the health of the patients. The bundling of patient care, research and teaching in a central building offers the best conditions for intensive interdisciplinary exchange and close clinical and scientific networking.
Around 9,000 employees ensure patient-oriented medicine and care according to recognized quality standards. With 1,400 beds, the university hospital treats around 50,000 inpatients and 200,000 outpatients a year.

The Department of Diagnostic and Interventional Radiology at the University Hospital Aachen has a particularly strong focus on imaging of breast cancer with magnetic resonance imaging. The head of the department, Prof. Kuhl, is a world-renowned expert in this area and was among the first to advance the use of magnetic resonance imaging for breast cancer diagnosis.

Role in the project

In ODELIA, UKA acts as one of the scientific coordintors of the project. The Department of Diagnostic and Interventional Radiology at UKA will strongly collaborate with the group by Prof. Kather at TUD in the development of the swarm learning network and the underlying software foundation. Based on this, Aachen will lead the first clinical application scenario – detection of breast cancer in breast MRI – and develop it together with all ODELIA partners.


Daniel Truhn

Dr. Daniel Truhn is a board-certified radiologist and physicist with a background in image processing. He received his diploma in physics from RWTH Aachen University and his Master in Optics and Photonics from Imperial College, London. After completing his medical studies, he began his residency in the department of Diagnostic and Interventional Radiology in Aachen where he is currently a senior radiologist and the head of the machine learning group. He is the author of numerous high-ranking publications dealing both with the application of AI models to clinical practice as well as with the advancement of AI methodology. Together with Prof. Jakob Kather from TUD, he leads the ODELIA consortium as scientific coordinator.


Gustav Müller-Franzes

Gustav Müller-Franzes is a graduate of RWTH Aachen University with a degree in electrical engineering. He completed his Bachelor’s degree with a focus on the classification of breast MRIs at the Institute of Imaging and Computer Vision. During his Master’s program, he gained additional expertise in the area of neural networks. Currently, Gustav is pursuing a PhD in the research department of radiology at the University Hospital Aachen, under the guidance of Dr. Truhn. His research centers on image processing of breast MRIs, with the goal of contributing to the advancement of the field of radiology.


Firas Khader

Firas Khader, with a background in electrical engineering, completed his Bachelor’s degree at Hamburg University of Technology and earned his Master’s degree at RWTH Aachen University. During his Master’s program, Firas conducted research on deep learning-based behavior analysis and gained practical experience through an industry internship involving MRI knee segmentation algorithms. In 2020, Firas began his PhD program at the University Hospital Aachen, where he works in the research department of radiology under the supervision of Dr. Truhn. His research focus is on the development of new methods in the field of image processing.