Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.
We are delighted to share that Andreas Maier and Vincent Christlein have once again been recognized among the top 2% of most-cited academics worldwide, as listed in the annual update curated by Prof. Dr. John P.A. Ioannidis (Stanford University). This marks (at least) the third consecutive year the...
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has received funding from the Deutsche Forschungsgemeinschaft (DFG) for a new research project entitled “Deep-Learning-basierte CBCT-Rekonstruktion beliebiger Trajektorien”. The project, led by Professor Dr....
Awawah! In the animal world, the ability to evaluate conspecifics in social interactions is vital for survival. For instance, male-male counter-singing and choruses may allow for the assessment of opponents and avoid fighting, settle territorial disputes, attract potential mates, or block competito...
The Pattern Recognition Lab will showcase a strong presence at MICCAI 2025 in Daejeon, South Korea, with contributions across all tracks including the main conference, workshops, challenges, CLINICCAI, open data, and the PhD consortium. Highlights include new methods for X-ray imaging, CT artifact r...
Michael Simo received his Master's degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg in March 2025 and his Bachelor's degree in Medical Engineering from Rheinahrcampus of the University of Applied Sciences Koblenz.
In April 2025, he joined the Pattern Recog...
