After 3 years of apprenticeship as an IT specialist (system integration), Hermine Carbonnier successfully passed her final exam today. We are very happy and wish her all the best for her further career. We are also pleased that she will stay at FAU and continue her career at the AIBE department....

The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg is thrilled to announce the upcoming Pattern Recognition Lab Conference.

Fuxin Fan and Mareike Thies, members of the Pattern Recognition Lab, secured third place in the CT Metal Artifact Reduction (MAR) Challenge, which was organized by the American Association of Physicists in Medicine (AAPM). The challenge focused on techniques for reducing metal artifacts in CT s...

We are pleased to share that Fei Wu of the Computer Vision group has won the "ICDAR 2024 Competition on Few and Many Shot Layout Segmentation of Ancient Manuscripts." In particular, he achieved remarkable results in both tracks ("Few-Shot Layout Segmentation" and "Many-Shot Layout Segmentation"), u...

Chengze Ye received his Master’s degree in Medical Engineering from FAU Erlangen-Nürnberg. He joined the Pattern Recognition Lab in June 2024 as a Ph.D. student under the supervision of Prof. Andreas Maier. His research focuses on the Deep Learning Computed Tomography based on the Defrise and Clack...

Julian Oelhaf holds a Bachelor’s degree in Aerospace Computer Science from Julius-Maximilians-Universität Würzburg and a Master’s degree in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab as a PhD student in June 2024 under the supervis...

Phonetic Transfer Learning from Healthy References for the Analysis of Pathological Speech

Machine Learning for Stuttering Detection and Classification in Stuttering Therapy

Hybrid Machine Learning Approaches for Image Reconstruction and Processing in Low-Dose Computed Tomography Diagnostic decisions in clinical workflows often hinge on the interpretation of medical images. The inherent quality of these images plays a critical role in discerning relevant anatomical ...

Join us at the Stroke Workshop on Imaging and Treatment CHallenges (SWITCH) 2024 which is hosted at the MICCAI24 conference in Marrakesh. The main goal of the workshop is bringing clinicians and engineers closer together to overcome relevant practical challenges when treating & diagnosing strok...