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...

Data-Driven Derivation of Rheumatological Disease Characteristics from Medical Images Rheumatologists have various tools at hand that allow characterizing the diseases of their patients. A multitude of those tools requires human annotation, which in some cases is time-intensive and error-prone. ...

Daniel Mosig received his Bachelor's and Master's degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg.In December 2023, he joined the Pattern Recognition Lab as a PhD student under the supervision of Prof. Andreas Maier.His current research in collaboration with the...

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is thrilled to announce the approval of a significant research project by the German Research Foundation (DFG). The project, entitled "Coordinated Power Network Protection Based on Machine Learning Techniques" (Koordinierter Netzschutz auf Bas...

We are happy to announce that Andreas Maier and Vincent Christlein are listed in the 2023 update of the 2% most-cited academics list created by Prof. Dr. John P.A. Ioannidis from Stanford University. It consists of citations from the year 2022. Our thanks go to our doctoral students and collabo...