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

  Image Analysis for Microscopical Layer Characterization and Morphological Feature Parametrization (Master Arbeit) Betreuer: Maier, Andreas; Steidl, Stefan; Spies, Ines

  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

  Bopp, Johannes; Felsner, Lina; Hu, Shiyang; Käppler, Sebastian; Riess, Christian; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: X-ray Phase Contrast: Research on a Future Imaging Modality In:

  Berger, Martin; Yang, Qiao; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: X-ray Imaging In:

  Fischer, Peter; Sembritzki, Klaus; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: System Theory In:

  Husvogt, Lennart; Ploner, Stefan; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Optical Coherence Tomography In:

  Mualla, Firas; Aubreville, Marc; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Microscopy In:

  Lugauer, Felix; Wetzl, Jens; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Magnetic Resonance Imaging In:

  Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Introduction In:

  Bernecker, David; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Image Processing In:

  Haase, Sven; Maier, Andreas; Steidl, Stefan; Christlein, Vincent; Hornegger, Joachim: Endoscopy In:
• Cooperations
  

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  LME-News
  

  Computer hören, sehen und verstehen

  Eine Informationsveranstaltung für Schüler und Eltern am Dietrich Bonhoeffer Gymnasium in Oberasbach.http://www.gym-oberasbach.de/index.php?id=355   Weitere InformationenProf. Dr.-Ing. Joachim HorneggerTel.: 09131...[more]

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  155. Erlanger Augenärztliche Fortbildung

  http://www.augenklinik.klinikum.uni-erlangen.de/e1852/e738/e733/inhalt734/155EAFProgramm20.01.07_korr_mi.pdf.   Weitere Informationen Dipl.-Inf. Rüdiger Bock Tel.: 09131 85-27882 E-Mail:...[more]

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