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

  Zekuan Yu; Qing Xiang; Jiahao Meng; Caixia Kou; Qiushi Ren; Lu, Yanye: Retinal Image Synthesis from Multiple-Landmarks Input with Generative Adversarial Networks In: Biomedical Engineering Online

  Meng, Xiangxi; Du, Yi; Wang, Ruoxi; Li, Ziyuan; Zhu, Sihao; Wu, Hao; Li, Changhui; Chen, Weiqiang; Nie, Shuming; Ren, Qiushi; Lu, Yanye: Cherenkov Excited Luminescence Imaging Induced by Megavolt X-ray Beams in the Second Near-Infrared Window In: Optics Communications

  Liu, Xi; Huang, Zhiyu; Wang, Zhenzhou; Wen, Chenyao; Jiang, Zhe; Yu, Zekuan; Liu, Jingfeng; Liu, Gangjun; Huang, Xiaolin; Maier, Andreas; Ren, Qiushi; Lu, Yanye: A Deep Learning Based Pipeline for Optical Coherence Tomography Angiography In: Journal of Biophotonics

  Neumann, Dominik: Robust Personalization of Cardiac Computational Models In:

  Nicolaou, Anguelos; Dey, Sounak; Christlein, Vincent; Maier, Andreas; Karatzas, Dimosthenis: Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings In: 2nd Workshop on Reproducible Research in Pattern Recognition

  Christlein, Vincent: Handwriting Analysis with Focus on Writer Identification and Writer Retrieval In:

  Lachner, Sebastian; Zaric, Olgica; Utzschneider, Matthias; Minarikova, Lenka; Zybn, Stefan; Hensel, Bernhard; Trattnig, Siegfried; Uder, Michael; Nagel, Armin: Compressed sensing reconstruction of 7 Tesla 23Na multi-channel breast data using 1H MRI constraint In: Magnetic Resonance Imaging

  Preuhs, Alexander; Maier, Andreas; Manhart, Michael; Kowarschik, Markus; Hoppe, Elisabeth; Fotouhi, Javad; Navab, Nassir; Unberath, Mathias: Symmetry Prior for Epipolar Consistency In: International Journal of Computer Assisted Radiology and Surgery

  Davari, AmirAbbas; Oezkan, Hasan Can; Maier, Andreas; Riess, Christian: Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (JSTARS)
• Cooperations
  

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  LME-News
  

  Featured Story on Scale-Space Anisotropic Total Variation

  

  Our recently published paper "Scale-space Anisotropic Total Variation for Limited Angle Tomography" has been selected as one of the "featured stories" by the journal IEEE Transactions on Radiation and Plasma...[more]

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  Another NVIDIA GPU Grant Approved for PRL Member

  The NVIDIA Corporation donated a GPU to a member of the lab after she applied for the NVIDIA GPU Grant Program: https://developer.nvidia.com/academic_gpu_seeding Aline Sindel received a grant for her research on deep similarity...[more]

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  New Employee

  

  Alexandra Hauske joined the Pattern Recognition Lab on June 15th.   After training as a foreign language correspondent (in Spanish and English) at the Institut für Fremdsprachen und Auslandskunde at the...[more]

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  Invited talk by Melissa W Haskell

  Melissa W Haskell (Athinoula A. Martinos Center for Biomedical Imaging – MGH Harvard University, Boston) will visit our lab on 10.07.2018 and give a talk entitled “Retrospective correction of patient motion in magnetic resonance...[more]

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  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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