The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg is delighted to welcome Professor Hewei Gao and his students from the Department of Engineering Physics at Tsinghua University. Following a workshop filled with fruitful and intense discussions on various topics, students from both FAU and Tsinghua University will attend the CT Meeting 2024 Conference in Bamberg, scheduled from August 5th to August 9th, 2024.

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 Automatic speech recognition (ASR) experienced a major leap forward through many advances in deep machine learning over the past decade. In each new iteration of neural ASR architecture, the increase in pe...

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 ...