Research Areas
The Department Artificial Intelligence in Biomedical Engineering (AIBE) was established as part of the Hightech Agenda Bayern. The traditional chair structure has been abandoned in order to maximize internal exchange and cooperation. Artificial Intelligence research at AIBE is centered around the study and development of intelligent systems in medicine. Our research focuses on theoretical foundations as well as applications for future healthcare. AIBE’s researchers possess a robust foundation not just in artificial intelligence, machine learning, computer science, and data science, but also in applying these concepts to biomedical engineering.
Biomedical Imaging and Sensing
Our research is dedicated to improving the effectiveness and reducing side effects of medical imaging and sensing technologies. We develop novel diagnostic biomarkers, imaging methodologies, and automated image analysis techniques for early detection of disease and optimal treatment.
Andreas Kist
Artificial Intelligence in Communication Disorders
Bernhard Kainz
Image Data Exploration and Analysis
Florian Knoll
Computational Imaging
Katharina Breininger
Artificial Intelligence in Medical Imaging
Tobias Reichenbach
Sensory Neuroengineering
Health Data Science
We advance methodological knowledge in the fields of biostatistics, epidemiology, public health, disease phenotyping, medical informatics, and bioinformatics. Our aim is to contribute novel insights from observational health data to provide clinically actionable information for individual patients and to inform health policy on population level.
Bjoern Eskofier
Machine Learning and Data Analytics
David B. Blumenthal
Biomedical Network Science
Seung Hee Yang
Artificial Intelligence in Biomedical Speech Processing
Medical Robotics
AIBE is active in all major areas of Medical Robotics, in particular in prosthetics, surgical robotics, rehabilitation robotics and virtual reality for gamification and rehabilitation. We also specifically focus on AI-based co-adaptation of users and devices, and AI-driven human-machine interaction.
Alessandro Del Vecchio
Neuromuscular Physiology and Neural Interfacing
Claudio Castellini
Assistive Intelligent Robotics
Franziska Mathis-Ullrich
Surgical Planning and Robotic Cognition (SPARC)