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.
We are very glad to welcome our students to the Summer Semester 2024! Again, we welcome many students to our lectures and we are proud to report the following numbers for our courses:
Deep Learning: 850Cognitive Neuroscience for AI Developers: 490Deep Learning for Beginners: 190Introduction to M...
On April 22nd, the Pattern Recognition Lab and the Medical AI & Computer Vision Lab from EWHA Womans University joined forces for a workshop held on the EWHA campus in Seoul, South Korea.
With a total of 10 presentations, the workshop covered a diverse array of topics spanning medical image ...
Come join us for an exciting in-person event featuring John Boone, PhD as he shares his extensive knowledge and experience in breast CT research. Discover the evolution of this technology over the past three decades, from its technical development to its current applications. Don't miss this unique...
In a remarkable application of artificial intelligence for wildlife conservation, the Pattern Recognition Lab of Friedrich-Alexander-Universität Erlangen-Nürnberg is proud to announce that its innovative software, developed by PhD candidate Alexander Barnhill, is playing a pivotal role in the effor...
It's a great pleasure to welcome Moti Freiman in our lab for an exciting presentation bringing together machine learning and physics for medical image analysis.
Title: Physically-primed Neural Networks in Quantitative Medical Image AnalysisDate: March 27th 2024, 9:30Room: 02.133-113, Martensstr...
