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
  

  Digitization of Historical Scrolls published in local newspaper

  

  A work of the current research project "Digitization of Fragile Historical Documents by Using 3-D X-ray Computed Tomography" has been recently published in an article in the North bavarian news(Nürnberger...[more]

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  European Time Machine reached Round 2

  

  It is a great pleasure to announce that the European Time Machine FET Flagship was selected for Round 2. From more than 30 submissions, only 17 reached this phase. In the next step, six of the 17 initiatives will be selected to...[more]

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  New PhD Student

  Andreas Siegling joined the Pattern Recognition Lab on May 1st and is part of the Enterprise Computing Group.  He received his Bachelor and Master of Science in Computer Science from Friedrich-Alexander-Universität...[more]

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  PhD Position in cooperation with Medical Data Donors

  

  We offer a PhD stipend for 3 years in cooperation with Medical Data Donors:   We aim at developing the first levels of the crowd game and methods how to create deep learning segmentation algorithms that are created...[more]

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  Start of the Luther project in the news

  

  The start of the project "Critical Catalog of the Luther-Portraits (1519-1530)" at June 1st received positive media response from the Nürnberger Zeitung. The interdisciplinary project which is in corporation with the...[more]

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  Invited Talk by Sina Farsiu - July 13th

  

  Sina Farsiu (Duke Biomedical Engineering - Duke University) will visit our lab on Friday 13th of July and give a presentation at 10 AM in lecture hall H15 entitled "Fundamental Limits of Resolution and Segmentation Accuracy...[more]

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