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: X-ray Phase Contrast: Research on a Future Imaging Modality In:

  Berger, Martin; Yang, Qiao; Maier, Andreas: X-ray Imaging In:

  Neumann, Dominik; Kollorz, Eva: Ultrasound In:

  Fischer, Peter; Sembritzki, Klaus; Maier, Andreas: System Theory In:

  Husvogt, Lennart; Ploner, Stefan; Maier, Andreas: Optical Coherence Tomography In:

  Mualla, Firas; Aubreville, Marc; Maier, Andreas: Microscopy In:

  Lugauer, Felix; Wetzl, Jens: Magnetic Resonance Imaging In:

  Maier, Andreas: Introduction In:

  Bernecker, David: Image Processing In:
• Cooperations
  

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  LME-News
  

  New PhD Student

  

  Christian Bergler joined the Pattern Recognition Lab on April 1st and is part of the group Speech Processing and Understanding (SAGI). He received his Bachelor of Engineering in Industrial Engineering (focus on Mechanical...[more]

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  New project funded by the European fund for regional development

  

  The project "Modern access to historical sources" got approved for funding of the cross-border cooperation programme between Bavaria and the Czech Republic. The project is an interdisciplinary project in collaboration...[more]

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  Three Awards on BVM 2018!

  

  This year’s BVM was a great success with three Awards for our lab: We con gratulate Mathias Unberath for winning the BVM Award 2018 for his PhD Thesis "Signal Processing for Interventional X-ray-based Coronary Angiography“...[more]

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  Former LME member receives BVM Award

  

  Mathias Unberath, former PhD candidate at the Pattern Recognition Lab, received the prestigious "BVM Award" in recognition of his outstanding Dissertation titled "Signal Processing for Interventional X-ray-based...[more]

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  BVM in Erlangen from March 11th to March 13th

  

  On 11.3.2018 the time has come! We will start on Sunday with Tutorials and a novelty: the BVM Clinical Track. In addition to presentations from MIT and Johns Hopkins are also Professors Arnd Dörfler, Robert Klopfleisch, and...[more]

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  Honorary doctorate awarded to Professor James Fujimoto, Ph.D.

  

  An honorary doctorate (Dr.-Ing. E.h.) from the Faculty of Engineering was awarded to Professor Fujimoto on Monday, 22 January 2018. Professor Fujimoto gained his Bachelor’s, Master’s and doctoral degrees from the Department of...[more]

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