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.
Der Lehrstuhl sucht zum 01. September 2021
Auszubildende zum Fachinformatiker (w/m/d) der Fachrichtung Systemintegration
Der LME beschäftigt sich mit Themen der automatisierten Musteranalyse.
Wir forschen an spannenden Themen wie
Automatischer Erkennung ...
Let's congratulate Christoph Luckner for the successful completion of his dissertation. He defended with his presentation on
"Tomosynthesis for Orthopedic Applications: Ultra-small-angle Tomosynthesis and Applications Beyond"
in exactly 30 Minutes in an online exam via teleconference with Pro...
It is a pleasure to announce the invited talk by Snehal Bhayani, currently pursuing his doctoral studies from Center for Machine Vision and Signal Analysis at University of Oulu. Mr. Bhayani has recently published his work on minimal solvers at CVPR 2020 and is going to talk about it during the se...
Aleksandra Thamm received her Master’s degree in Electronic and Mechatronic Systems and specialized her study in Automation Technology at Technische Hochschule in Nuremberg. She joined the Pattern Recognition Lab in August 2020 as a Ph.D. student under the supervision of Prof. Andreas Maier. Her Ph...
It is a great pleasure to announce that ten selected presentations of the Pattern Recognition Symposium Summer 2020 will also be available as YouTube Videos:
Chang Liu - Robustness Investigations on Deep Learning CTFaezeh Nejati Hatamian - The Effect of Data Augmentation for ECG Signal Classifi...