March 2026

6 total

17MAR 2026
News
BVM Best Paper Prize 2026 (3rd Place) Awarded to Md Badhon Miah and Co-authors
The Pattern Recognition Lab is pleased to announce that Md Badhon Miah, together with Lukas Buess and Andreas Maier, has been awarded the BVM Best Paper Prize 2026 (3rd place) at the German Conference on Medical Image Computing (Bildverarbeitung für die Medizin, BVM), held from March 15–17, 2026 in Lübeck, Germany. The award recognizes the paper titled “Vision-Language Models […]
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17MAR 2026
News
Pattern Recognition Lab at FAU Launches Official GitHub Organization
The Pattern Recognition Lab (LME) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has launched its official GitHub organization: https://github.com/PRLab-FAU. With this new presence on GitHub, the lab is creating a central public space where research software, code related to scientific publications, and teaching materials developed at the lab can be shared openly with the wider community. The new organization […]The Pattern Recognition Lab (LME) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has launched its official GitHub organization: https://github.com/PRLab-FAU. With this new presence on GitHub, the lab is creating a central public space where research software, code related to scientific publications, and teaching materials developed at the lab can be shared openly with the wider community. The new organization […]
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11MAR 2026
News
Pattern Recognition Lab Contributes to IRIS 2026 LexisNexis Best Paper Award Top 10
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) contributed to one of the papers recognized among the Top 10 submissions of the LexisNexis Best Paper Award at IRIS 2026, one of the leading conferences in the field of legal informatics. The award highlights outstanding scientific contributions presented at the International Legal Informatics Symposium (IRIS), which brings […]The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) contributed to one of the papers recognized among the Top 10 submissions of the LexisNexis Best Paper Award at IRIS 2026, one of the leading conferences in the field of legal informatics. The award highlights outstanding scientific contributions presented at the International Legal Informatics Symposium (IRIS), which brings […]
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11MAR 2026
Ph.D. Gallery
Laura Pfaff
Bridging Deep Learning and Physical Knowledge for Self-Supervised Magnetic Resonance Image Denoising MRI is a vital diagnostic tool, offering excellent soft-tissue contrast without ionizing radiation, but its image quality is fundamentally limited by signal-to-noise ratio, which drops especially low in certain settings like low-field MRI or diffusion-weighted imaging (DWI). Low-field MRI systems are becoming more […]Bridging Deep Learning and Physical Knowledge for Self-Supervised Magnetic Resonance Image Denoising MRI is a vital diagnostic tool, offering excellent soft-tissue contrast without ionizing radiation, but its image quality is fundamentally limited by signal-to-noise ratio, which drops especially low in certain settings like low-field MRI or diffusion-weighted imaging (DWI). Low-field MRI systems are becoming more […]
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10MAR 2026
Ph.D. Gallery
Wei Lin Fu
Known-Operator-Learning Networks For Retinal Vessel Segmentation Deep learning has advanced rapidly in recent decades, but its lack of interpretability remains a real obstacle in high-stakes fields where mistakes can be costly or dangerous. Among the ways researchers try to make deep models more interpretable, this thesis focuses on known operator learning: building network architectures that […]Known-Operator-Learning Networks For Retinal Vessel Segmentation Deep learning has advanced rapidly in recent decades, but its lack of interpretability remains a real obstacle in high-stakes fields where mistakes can be costly or dangerous. Among the ways researchers try to make deep models more interpretable, this thesis focuses on known operator learning: building network architectures that […]
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06MAR 2026
News
New National Recommendation on Artificial Intelligence in Medicine: Contribution from FAU Pattern Recognition Lab
A new recommendation on the application of artificial intelligence in medicine has been published by the German Commission on Radiological Protection (Strahlenschutzkommission, SSK). The document provides guidance on the safe development, evaluation and clinical use of AI-based methods in medical imaging, including applications in image reconstruction, image processing and diagnostic support. The recommendation addresses both […]A new recommendation on the application of artificial intelligence in medicine has been published by the German Commission on Radiological Protection (Strahlenschutzkommission, SSK). The document provides guidance on the safe development, evaluation and clinical use of AI-based methods in medical imaging, including applications in image reconstruction, image processing and diagnostic support. The recommendation addresses both […]
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