The Pattern Recognition Lab of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is proud to announce that Marc Wenninger has successfully defended his PhD thesis, marking a significant milestone in his academic journey. Under the guidance of Prof. Dr. Andreas Maier of FAU and Prof. Dr. Joche...

The Friedrich-Alexander-Universität Erlangen-Nürnberg is proud to announce that Prof. Heinrich Niemann, the esteemed founder of the Pattern Recognition Lab, has been awarded an honorary doctorate by the University of Lübeck. This prestigious accolade is a testament to Prof. Niemann’s profound contr...

Welcome on board Claudia! Claudia Schuller joined our secretarial team in February. We warmly welcome her and wish her a quick acclimatization and a good start.

Deep Learning-based Grading of Coronary Artery Disease from Coronary CT Angiography Scans One of the deadliest disease types in modern societies is coronary artery disease (CAD). It is often related to coronary artery plaques aggregating within the vessel wall obstructing the lumen causing a ste...

The Odeuropa project (EU Horizon 2020) ends soon. With its fantastic outcome, it received a lot of media attention. Also members of the pattern recognition lab got interviewed, e.g., for the National Geographic lead article, for DLF "Riechen: Wie Computer Gerüche einordnen", as well as in a longer ...

Mathias Seuret et al. received the IAPR Best Poster Award at this year's International Conference on Document Analysis and Recognition (ICDAR, San José, August 23). In total, six of our papers got accepted at the main conference and workshops, making it a particular successful year. Looking forward...

The Federal Agency for Nature Conservation (BfN) and the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) are funding a research and development project at FAU with the aim of automatically evaluating image sequences from aerial photographs ta...

The Pattern Recognition Lab is happy to announce that the Emerging Talents Initiative (ETI) from FAU, has granted funding to the research project entitled "A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands". Pro...

Deep Learning and Computational Modeling of Physiology Deep Learning (DL) and computational modeling (CM) could revolutionize the healthcare system by personalizing therapies to patients and enabling precision medicine (PM). While DL can automatically extract decision rules from large amounts of...