Overview

Welcome to the Pattern Recognition Lab!

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.

Research Areas

Cognitive Computational NeuroscienceComputer VisionData Processing for Utility Infrastructure
Enterprise ComputingGenerative AIImage Analysis
Image FusionIPALAMBDA
MRIOphthalmic ImagingPrecision Learning
Privacy-Preserving Deep LearningSpeech Processing and Language UnderstandingTime Series Intelligence

Hallo Zukunftsgestaltende! Bereit, die Leidenschaft für Technik und IT in eine spannende Karriere zu verwandeln? Dann ist unsere Ausbildung zur Fachinformatikerin oder zum Fachinformatiker Systemintegration genau der richtige Weg in die digitale Welt von morgen. Ob Systemintegration, Netzwerkadm...

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We are delighted to announce that Vincent Christlein has been awarded the prestigious IAPR/ICDAR Young Investigator Award 2024 for outstanding contributions to handwriting recognition applied to forensics and historical documents. ICDAR recognizes each second year a scholar under the age of 40 t...

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Our speech and language processing team won both tasks from the Taukadial Challenge1 at Interspeech 2024. The challenge focused on detecting Mild Cognitive Impairment (MCI) through advanced speech and language processing techniques, particularly analyzing speech data in cross-lingual settings—Chine...

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Adarsh Raghunath holds a bachelor's degree in Instrumentation and Control Engineering from Manipal University, Manipal, India. He then went on to receieve his master's degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab from Au...

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