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). 

• Research Areas
  

  • Pattern Recognition & Machine Learning

    

    Pattern Recognition deals with the automatic classification and analysis of sensor input data. In this area we have work groups in Speech Recognition and Understanding, Computer Vision, Multiple Criteria Optimization, Image Analysis, Image Segmentation, and Image Fusion.

    Medical Image Processing

    

    The research area medical image processing investigates formation and analysis of images in medicine. Currently the groups Analytic Reconstruction and Consistency, Computed Tomography: Algebraic Reconstruction and Motion, Magnetic Resonance Imaging, Phase-Contrast Imaging, and Ophthalmic Imaging are working on such topics.

    Big Data Applications

    

    With the sheer amount of "big data", new opportunities are available also for pattern recognition and machine learning. Examples are deep learning and precision learning. In this area, we have the groups of Learning Approaches for Medical Big Data Analysis, Population Modelling, and Enterprise Computing.

  Available Theses
  

  Extension of an audio-recordings database with features for similarity search (Master Arbeit) Betreuer: Maier, Andreas; Meyer-Wegener, Klaus

  Recent Publications
  

  Choi, Jang-hwan; McWalter, Emily; Datta, Sanjit; Müller, Kerstin; Maier, Andreas; Gold, Garry; Levenston, Marc; Fahrig, Rebecca: In Vivo 3D Measurement of Time-dependent Human Knee Joint Compression and Cartilage Strain During Static Weight-Bearing In: ORS 2016 Annual Meeting

  Breininger, Katharina; Hanika, Moritz; Weule, Mareike; Kowarschik, Markus; Pfister, Marcus; Maier, Andreas: Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair In: International Journal of Computer Assisted Radiology and Surgery

  Arbogast, Nikolaus; Kurzendorfer, Tanja; Breininger, Katharina; Mountney, Peter; Toth, Daniel; Narayan, Srinivas A.; Maier, Andreas: Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks In: Workshop

  Mayr, Martin; Hoffmann, Mathis; Maier, Andreas; Christlein, Vincent: WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM In: 2019 IEEE International Conference on Image Processing (ICIP)

  Voigt, Ingmar; Mansi, Tommaso; Georgescu, Bogdan; Houle, Helene; Comaniciu, Dorin; Ene, Codruta; Scutaru, Mihai: Valve regurgitant detection for echocardiography In:

  Voigt, Ingmar; Mansi, Tommaso; Helene, Houle: Measurement Point Determination in Medical Diagnostic Imaging In:

  Camus, Estelle; Mansi, Tommaso; Voigt, Ingmar: Left Atrial Appendage Closure Guidance in Medical Imaging In:

  Scutaru, Mihai; Voigt, Ingmar; Mansi, Tommaso,; Ionasec, Razvan; Houle, Helene; Tatpati, Anand; Comaniciu, Dorin; Georgescu, Bogdan; El-Zehiri, Noha: Landmark detection with spatial and temporal constraints in medical imaging In:

  Henderson, Steve; Mansi, Tommaso; Tatpati, Anand; Voigt, Ingmar; Rao, Bimba: Continuously oriented enhanced ultrasound imaging of a sub-volume In:

  Tek, Huseyin; Georgescu, Bogdan; Mansi, Tommaso; Sauer, Frank; Comaniciu, Dorin; Houle, Helene; Voigt, Ingmar: Cardiac flow detection based on morphological modeling in medical diagnostic ultrasound imaging In:
• Cooperations
  

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  LME-News
  

  Forschungsgelder für Banknotendruck

  Eine Forschungsstelle für drei Jahre hat sich der Lehrstuhl für Mustererkennung der Universität Erlangen-Nürnberg durch die Zusammenarbeit mit der Münchner Firma Giesecke & Devrient (G&D) gesichert. Mit dem kürzlich...[more]

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  Mittelfränkischer Tag: Platz vier beim Robocup

  Mechatronik- und Informatik-Studierende der Universität Erlangen-Nürnberg machten es wahr: In einem Praxisprojekt des Lehrstuhls für Mustererkennung entwickelten sie unter der Leitung der Doktoranden Benjamin Deutsch und Stefan...[more]

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  Roboter lernen Fußball spielen

  

  Mechatronik- und Informatik-Studierende der Universität Erlangen-Nürnberg machten den (Alb)traum eines jeden Fußballtrainers wahr: Fußball spielende Roboter. In einem Praxisprojekt des Lehrstuhls für Mustererkennung entwickelten...[more]

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  Meldungen und Termine

  Montag/Dienstag, 2./3. Juli 2007, 8.50 bis 18.00 Uhr, Am Wolfsmantel 33, Erlangen-TennenloheDer Lehrstuhl für Informatik 5 (Mustererkennung) der Universität Erlangen-Nürnberg ist am 2. und 3. Juli Gastgeber einer internationalen...[more]

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  Meldungen und Termine

  Sieben Nachwuchswissenschaftler der Universität Erlangen-Nürnberg werden an der diesjährigen Tagung der Nobelpreisträger in Lindau teilnehmen. Sie gehören damit zu den 560 jungen Forschern, die zwischen dem 1. und dem 6. Juli...[more]

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  Respons - Regional Sponsorship

  Neue Wege des regionalen Networkinghttp://www.respons.org/flyer.pdf   Weitere InformationenProf. Dr.-Ing. Joachim HorneggerTel.: 09131 85-27775E-Mail: Joachim.Hornegger(at)informatik.uni-erlangen.de  [more]

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