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.
Even experts sometimes reach their limits when deciphering historical documents, for example when ancient wooden tablets are charred, scrolls have weathered, or notes are written in a rare form of shorthand. In two new projects, Vincent Christlein and his team aim to develop AI-supported technologi...
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) reports exceptional success in this year’s submission round for “Bildverarbeitung für die Medizin (BVM) 2026”. Out of 19 submitted contributions, 18 have been accepted, corresponding to an impressive acceptance r...
The Pattern Recognition Lab and Profile Center Medical Engineering (FAU MT) are now part of the COST Action European Network to Advance the Development and Implementation of Vocal Biomarkers (eVoiceNet) (COST Action CA24128 – eVoiceNet).
eVoiceNet brings together more than 80 partners from over ...
We are pleased to announce that the UtilityTwin project has been awarded the 2nd Prize in the nationwide Student Prize for Social Innovations (StiPS), organized by the Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR) in cooperation with VDI/VDE Innovation + Technik GmbH. Adithya...
Hello everyone,my name is Sebastian Baum. I completed my Master’s degree in Medical Engineering at FAU Erlangen-Nürnberg this September, and I will be starting my PhD on November 1st as part of a collaboration between FAU and Siemens Healthineers.My research will focus on tissue...
