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Stefan Ploner, M. Sc.

  • Job title: Researcher
  • Organization: Department of Computer Science
  • Working group: Chair of Computer Science 5 (Pattern Recognition)
  • Phone number: +49 9131 85 28982
  • Fax number: +49 9131 85 27270
  • Email: stefan.ploner@fau.de
  • Website:
  • Address:
    Martensstr. 3
    91058 Erlangen
    Room 09.130
  • Office hours:

VISTA showing neovascularization having slow flow in PDR case

VISTA revealing slower blood flow in neovascularization (top-left of FAZ) in an OCTA scan of a 30 y/o PDR patient.

Since its recent transfer from research to the clinic, OCT Angiography (OCTA) is revolutionizing the field of ophthalmic Optical Coherence Tomography (OCT). Whereas OCTA provides detailed information on vasculature today, to take full advantage, novel image processing algorithms are still to be developed. For example, algorithms like Variable Interscan Time Analysis (VISTA) could add the whole new dimension of blood flow speed to OCT data, and more advanced removal of decorrelation tail artifacts could improve the analysis of the deep vascular layer. An ongoing research topic of our group is the correction of motion artifacts, which have an especially high impact on OCTA data. Robust and accurate motion correction is thus essential for the reconstruction of high quality OCTA signals, however, current algorithms do not yet model the newer OCTA scanning protocols precisely.

The goal of my PhD is to fill these gaps and to bring these promising advancements to the clinic. To make this possible, I’m in close collaboration with the Biomedical Optical Imaging and Biophotonics Group at the Massachusetts Institute of Technology, Cambridge, USA, the group who built the first and still develops most advanced ophthalmic OCT systems to date, and the New England Eye Center, Boston, USA, the first clinic that used OCT technology in patient care.

Since 07/2017: PhD Student, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg

10/2014 – 05/2017: Master of Science with distinction in Computer Science, Friedrich-Alexander University Erlangen-Nürnberg

  • Focus on medical image processing, pattern recognition and high-performance computing
  • Master thesis: Improving 3D OCT motion correction

10/2015 – 05/2016: Visiting student, Massachusetts Institute of Technology, Cambridge, USA

04/2011 – 03/2015: Bachelor of Science in Computer Science, Friedrich-Alexander University Erlangen-Nürnberg

  • Focus on pattern recognition, computer architecture, discrete optimization and computer graphics
  • Student research assistant at the Pattern Recognition Lab, research on false
    color visualization in the multispectral imaging software framework Gerbil

09/2001 – 06/2010: University entrance diploma (Abitur), Emil-von-Behring-Gymnasium, Spardorf

Teaching Experience

  • 10/2014 – 01/2015: Student teaching assistant, Friedrich-Alexander University Erlangen-Nürnberg
    • Exercises in Theory of Computation and Formal Languages
  • 10/2011 – 09/2012: Student teaching assistant, Friedrich-Alexander University Erlangen-Nürnberg
    • Exercises in Algorithms and Data Structures

No projects found.

2020

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2019

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2018

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2017

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2016

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