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Prof. Dr. Ruxandra Lasowski

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Studiendekanin Medieninformatik M.Sc.
Professorin für Mathematik/Informatik

Curriculum Vitae

Lebenslauf

  • Seit 1. September 2012: HFU, Fakultät Digitale Medien.
  • April 2008 – August 2012 Postdoc an der Universität des Saarlandes und Max-Planck-Institut für Informatik, Saarbrücken
  • Oktober 2004 – März 2008 Doktorandin (Dr.-Rer. Nat.) bei Siemens Medical Solutions und Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Technische Universität München
  • August 2003 – September 2004 Software Engineer – GE View Point in Hallbergmoos
  • Oktober 2001 – Juli 2003 Software Developer – GE Ultraschall/ 3D Echotech in Hallbergmoos
  • September 2000 – September 2001 Software Entwicklerin – 3D Echotech in Hallbergmoos

Konferenzbeiträge

  • Andreas Reich, Ruxandra Lasowski: Towards generating complex programs represented as node-trees with reinforcement learningUpper-Rhine Artificial Intelligence Symposium 27th October, 2021
  • Jonas Nolde, Ruxandra Lasowski: Comparing a deterministic and a Bayesian classification neural network for chest diseases in radiological imagesUpper-Rhine Artificial Intelligence Symposium 27th October, 2021
  • Florian Kordon , Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas K. Maier, Holger Kunze: Abstract: Multi-Task Framework for X-Ray Guided Planning in Knee Surgery.
    Bildverarbeitung für die Medizin 2020: 260
  • Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas K. Maier, Holger Kunze:  Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery. 
    MICCAI (6) 2019: 622-630
  • Florian Kordon, Ruxandra Lasowski, Benedict Swartman, Jochen Franke, Peter Fischer, Holger Kunze: Improved X-Ray Bone Segmentation by Normalization and Augmentation Strategies. 
    Bildverarbeitung für die Medizin 2019: 104-109
  • R. Lasowski, A. Tevs, M. Wand, H.-P. Seidel: Wavelet Belief Propagation for Large Scale Inference Problems 
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, June 2011
  • R. Lasowski, A. Tevs, H.-P. Seidel, M. Wand : A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
    International Conference on Computer Vision (ICCV 2011), Kyoto, Japan, September 2009
  • R. Lasowski, S. Benhimane, J. Vogel, T. F. Jakobs, C. J. Zech, C. Trumm, M. Brokate, N. Navab: Adaptive visualization using the annealing M-estimator
    Workshop Bildverarbeitung für die Medizin, Berlin, Germany, 6-8 April 2008
  • R. Lasowski, S. Benhimane, J. Vogel, T. F. Jakobs, C. J. Zech, C. Trumm, Ch. Clason, N. Navab: Adaptive visualization for needle guidance in RF Liver Ablation: taking organ deformation into account
    SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008
  • R. Micu = (Lasowski), T. F. Jakobs, C. J. Zech, N. Navab: Evaluation of different subvolume visualizations in CT-Fluoroscopy guided RF Liver Ablation
    SPIE Medical Imaging, San Diego, California, USA, 17-22 February 2007
  • R. Micu = (Lasowski), T. F. Jakobs, C. J. Zech, M. Reiser, N. Navab: Subvolume visualization based on piecewise 2D CT-Fluoroscopy to 3D CT-Volume registration
    5. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2006), Hannover, Germany, Oktober 2006
  • R. Micu = (Lasowski), T. F. Jakobs, M. Urschler, N. Navab: A new registration/visualization paradigm for CT-Fluoroscopy guided RF liver ablation Proceedings of Medical Image Computing and Computer-Assisted Intervention
    (MICCAI 2006), Copenhagen, Denmark, October 2006