Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is pleased to announce that its interdisciplinary research initiative, “Next-generation AI for Integrated Diagnostics,” has been awarded €125,500 in funding from the STAEDTLER Foundation a...
It’s a great pleasure to welcome Prof. Dr. Mirabela Rusu, the head of the Personalized Integrative Medicine Laboratory at Stanford University to our lab!
Title: From pathology to ultrasound via MRI: multimodal learning for cancer detection
Date: Tuesday, June 24th, 2025, 16:30 CET
Location...
Franziska Weber received her Master's Degree in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg in March 2025. Previously, she completed her Bachelor’s degree in Mathematics.
In April 2025, she joined the Pattern Recognition Lab as a Ph.D. student under the supervisio...
Daiqi Liu received his Master’s degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg. Since April 2025, he has been pursuing a Ph.D. at the Pattern Recognition Lab, under the supervision of Dr.-Ing. Paula Andrea Pérez Toro and Prof. Dr.-Ing. habil. Andreas Maier....
Prajol Shrestha received his Master’s degree in Information and Communication Technology, specializing in Media Processing Systems, from Friedrich-Alexander-Universität Erlangen-Nürnberg in December 2024, and his Bachelor's degree in Computer Engineering from Tribhuvan University, Nepal.
In...
