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Felix Lugauer M. Sc.

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Enhancing Quantitative Abdominal Magnetic Resonance Imaging via Compressed Sensing

Curriculum Vitae

Education
since 12/2013

Ph.D. candidate at the Opens external link in new windowPattern Recognition Lab in cooperation with Opens external link in new windowSiemens AG, Healthcare

  • Topic: Iterative Reconstruction Methods for Abdominal MR Imaging
10/2010 - 07/2013

M.Sc. Studies in Computer Science at Opens external link in new windowFriedrich-Alexander-University Erlangen-Nürnberg

  • Master's Thesis: "Lumen Segmentation of Coronary Arteries in Computed Tomography Angiography"
  • Master's Project: "Towards Multi-Resolution Rigid ICP Alignment on the GPU"
  • Mayor: Pattern recognition, Simulation, Distributed Systems
  • Minor: Medical Image Processing
09/2011 - 01/2012

Study abroad at Opens external link in new windowUniversity of California Santa Barbara, USA

  • Courses: Neuroimaging, Advanced Topics in Computer Security
10/2007 - 09/2010

B.Sc. Studies in Computer Science at Opens external link in new windowFriedrich-Alexander-University Erlangen-Nürnberg

  • Bachelor's Thesis: "Self-Organizing Maps for Edge Detection in Multispectral Images"
  • Mayor: Computer Graphics, Operating Systems
  • Minor: Business Studies
Work Experience
06/2013 - 11/2013Working Student (Lesion Quantification in CTA)
Opens external link in new windowSiemens AG, Corporate Technology, Imaging and Computer Vision
11/2012 - 06/2013

Masterand (Vessel Segmetation in CTA)

Opens external link in new windowSiemens AG, Corporate Technology, Imaging and Computer Vision

07/2012 - 10/2012

Working Student (Vessel Modelling and Imaging)

Opens external link in new windowSiemens AG, Corporate Technology, Imaging and Computer Vision

04/2011 - 08/2011Tutor ("Fundamentals of Computer Science")
Opens external link in new windowPattern Recognition Lab
09/2009 - 08/2010

Student Assistant
(industry project for improved banknote processing and classifcation using sensor data fusion)

Opens external link in new windowPattern Recognition Lab