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

  Preuhs, Alexander; Berger, Martin; Bauer, Sebastian; Redel, Thomas; Unberath, Mathias; Achenbach, Stephan; Maier, Andreas: Viewpoint Planning for Quantitative Coronary Angiography In: CARS

  Stimpel, Bernhard; Syben, Christopher; Würfl, Tobias; Mentl, Katrin; Dörfler, Arnd; Maier, Andreas: MR to X-ray Projection Image Synthesis In: The 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting)

  Hoppe, Elisabeth; Körzdörfer, Gregor; Nittka, Mathias; Würfl, Tobias; Wetzl, Jens; Lugauer, Felix; Schneider, Manuel; Pfeuffer, Josef; Maier, Andreas: Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps In: Proceedings of the 25th Annual Meeting of the ISMRM (26th Annual Meeting & Exhibition)

  Haase, Viktor; Hahn, Katharina; Schöndube, Harald; Stierstorfer, Karl; Noo, Frédéric: Impact of the Non-Negativity Constraint in Model-Based Iterative Reconstruction from CT Data In: Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting)

  Guo, Zijia: C-arm CT imaging using the extended line-ellipse-line trajectory: first implementation and initial results In: Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting)

  Fürsattel, Peter: Accurate Measurements with Off-the-Shelf Range Cameras In:

  Ellmann, Stephan; Bielowski, Christian; Wenkel, Evelyn; Vesal, Sulaiman; Maier, Andreas; Uder, Michael; Bäuerle, Tobias: Ein klinisch anwendbares Neuronales Netzwerk zur Klassifikation suspekter Läsionen in der Mamma-MRT In: Fortschr Röntgenstr

  Aichert, André; Lesaint, Jérôme; Würfl, Tobias; Clackdoyle, Rolf; Desbat, Laurent; Maier, Andreas: Stereo Rectification for X-ray Data Consistency Conditions In: Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting)

  Aichert, André; Bier, Bastian; Rist, Leonhard; Maier, Andreas: Projective Invariants for Geometric Calibration in Flat-Panel Computed Tomography In: Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting)
• Cooperations
  

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  LME-News
  

  IEEE NSS/MIC Best Student Paper Award, Second Place and Trainee Grant

  

  Our contribution "Deep Learning-based Inpainting for Virtual DSA" by Mathias Unberath et al. was among the winners (second place) of the Best Student Paper Award at the 2017 IEEE Nuclear Sciences Symposium and Medical...[more]

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  Two Papers Featured on the Cover of Medical Physics

  

  We are happy to announce that two papers by Bastian Bier et al. and Mathias Unberath et al. are featured on the cover of the September issue of Medical Physics. The issue can be found here.   Bier, Bastian, Martin Berger,...[more]

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  Another NVIDIA GPU Grant Approved for PRL Member

  The NVIDIA Corporation donated a GPU to member of the lab after he applied for the NVIDIA GPU Grant Program:https://developer.nvidia.com/academic_gpu_seeding Yanye Lu received a grant for his research on Material...[more]

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  Mecuris gewinnt bei “Land der Ideen”

  

  Bayerischer Staatsminister empfängt „Ausgezeichnete Orte“ 2017 – Mecuris gewinnt bei “Land der Ideen”, Weconomy, European Health Catapult, 3D Pioneers Challenge und wird Mitglied im TK Accelerator   Das Münchner...[more]

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  Another NVIDIA GPU Grant Approved for PRL Member

  The NVIDIA Corporation donated a GPU to member of the lab after he applied for the NVIDIA GPU Grant Program:https://developer.nvidia.com/academic_gpu_seeding M.Sc. Sulaiman Vesal received a grant for his research on Breast...[more]

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  MICCAI Young Scientist Award

  

  Florin-Cristian Ghesu, PhD student at our lab was awarded the prestigious 2017 MICCAI Young Scientist Award for his contribution titled "Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data"....[more]

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