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 ComputingImage AnalysisImage Fusion
IPALAMBDAMRI
Ophthalmic ImagingPrecision LearningSpeech Processing and Understanding
Time Series Intelligence

We are excited to announce a pioneering international collaboration with West China Hospital in Chengdu, China, one of the most prestigious medical institutions in the country. This initiative is generously supported by BayChina and Siemens Healthineers with financial and in-kind support, with a shared vision of bringing innovative AI solutions into the heart of clinical practice. This partnership is set to launch a sustainable exchange program, where in the first wave three PhD candidates from the Pattern Recognition Lab will embed within the departments of Orthopedics and Radiology at West China Hospital during 2024. Their mission is to leverage AI technologies to revolutionize the clinical workflow in radiology for breast cancer diagnosis, especially using MR images and enhance the quality and efficiency of spine surgery using intraoperative cone beam CT.

Category: News

Lukas Bueß received his Bachelor’s degree in Medical Technologies from Pforzheim University and his Master’s degree in Biomedical Computing from Technical University of Munich. He joined the Pattern Recognition Lab in March 2024 as a PhD student under the supervision of Prof. Andreas Maier. His...

Category: News

We are thrilled to announce our upcoming Pattern Recognition Symposium as an extension of the “Bildverarbeitung für die Medizin” (BVM) conference. Our symposium will take place from Wednesday, March13th to Friday, March 15th. This is an exciting opportunity for researchers, practitioners, and stude...

Category: News