Lehrstuhl für Informatik 5 (Mustererkennung)


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.

A summary of the projects at the Pattern Recognition Lab is available for download as a comprehensive brochure (PDF).

Martensstraße 3
91058 Erlangen

Publications (Download BibTeX)
1 of 62

Conference contribution
Aubreville M, Goncalves M, Knipfer C, et al. - Ed.: Sheldon Wiebe, Hugo Gamboa,Ana Fred, et al. (2018)
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018)

Journal article
Haji Ghassemi N, Hannink J, Martindale C, et al. (2018)
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease

Journal article
Timotius I, Canneva F, Minakaki G, et al. (2018)
Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter
Journal of Neuroscience Methods

Journal article
Timotius I, Canneva F, Minakaki G, et al. (2018)
Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
Data in Brief

Article in Edited Volumes
Leutheuser H, Lang N, Gradl-Trautvetter S, et al. - Ed.: Stefan Schneegass, Oliver Amft (2017)
Textile Integrated Wearable Technologies for Sports and Medical Applications
Smart Textiles - Human–Computer Interaction Series

Conference contribution
Evert S, Wankerl S, Nöth E (2017)
Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch
Proceedings of the Corpus Linguistics 2017 Conference

Conference contribution
Aubreville M, Krappmann M, Klopfleisch R, et al. - Ed.: Stefan Bruckner, Anja Hennemuth, Bernhard Kainz, et al. (2017)
A Guided Spatial Transformer Network
for Histology Cell Differentiation
Eurographics Workshop on Visual Computing for Biology and Medicine

Journal article
Leutheuser H, Heyde C, Röcker K, et al. (2017)
Reference-Free Adjustment of Respiratory Inductance Plethysmography for Measurements during Physical Exercise
IEEE Transactions on Biomedical Engineering

Conference contribution
Gelse K, Knorz S, Kluge F, et al. (2017)
„Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf
Sports Orthopaedics and Traumatology

Journal article
Kautz T, Groh B, Hannink J, et al. (2017)
Activity recognition in beach volleyball using a Deep Convolutional Neural Network
Data Mining and Knowledge Discovery

Journal article
Knorz S, Kluge F, Gelse K, et al. (2017)
Three-Dimensional Biomechanical Analysis of Rearfoot and Forefoot Running
Orthopaedic Journal of Sports Medicine

Journal article
Groh B, Fleckenstein M, Kautz T, et al. (2017)
Classification and visualization of skateboard tricks using wearable sensors
Pervasive and Mobile Computing

Journal article
Ring M, Lohmueller C, Rauh M, et al. (2017)
Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise
IEEE Journal of Biomedical and Health Informatics

Journal article
Magaraggia J, Wei W, Weiten M, et al. (2017)
Design and evaluation of a portable intra-operative unified-planning-and-guidance framework applied to distal radius fracture surgery
International journal of computer assisted radiology and surgery

Journal article
Kluge F, Krinner S, Lochmann M, et al. (2017)
Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects
Gait & Posture

Journal article
Christian J, Kluge F, Eskofier B, et al. (2017)
Comparison of different marker sets for marker trajectory and principal component analysis based classification of simulated gait impairments
Journal of Biomedical Engineering and Informatics

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Last updated on 2018-01-12 at 15:08
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