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.
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...
In mid-July, Nico Meyer and his colleagues from Fraunhofer IIS participated in the "Symposium on Machine Learning to Advance Quantum Technologies (ML4QT)" held in Heilbronn. Over the course of three days, the symposium featured keynotes, invited talks, contributed presentations, and poster sessions...
At the end of July, the Pattern Recognition Lab held its annual Pattern Recognition Symposium (PRS) in Hochkrimml, Austria. For five days, researchers and students came together for talks, posters, and discussions on topics ranging from medical imaging and speech analysis to utility infrastructure, ...
We are very pleased to welcome our new apprentice Enes Kocak to the team.Enes has just started his IT Specialist for System Integration training program and will be supporting us over the next three years.
With his strong interest in IT systems and great motivation, he brings the perfect fou...
