Thomas Vogt

Image of Thomas  Vogt

M. Sc.

Institute of Mathematics and Image Computing
University of Lübeck

Fraunhofer MEVIS

 

Address: Maria-Goeppert-Str. 3
23562 Lübeck
Phone: +49 451 3101 6114
Fax: +49 451 3101 6104
Email: vogt(at)mic.uni-luebeck.de

Research Interests

I'm interested in convex relaxation methods for variational image processing techniques with applications in medical imaging, in particular images with high-dimensional feature spaces such as Q-ball (HARDI) data from diffusion MRI.

Biography

I received my Bachelor's degree (2013, minor Classics and Ancient Studies) and my Master's degree (2015, with highest distinction) in Mathematics from the University of Bonn. Since April 2016, I'm a PhD Student at the Institute of Mathematics and Image Computing of the University of Lübeck, supervised by Prof. Dr. Jan Lellmann.

Publications

  • Jun 2017
    Vogt, T. und Lellmann, J.: An Optimal Transport-Based Restoration Method for Q-Ball Imaging. Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings, Lauze, F., Dong, Y., und Dahl, A. B. (Ed.), Springer International Publishing, pp. 271-282, 2017
    BibTeX DOI PDF Poster Abstract
  • Dec 2017
    Vogt, T. und Lellmann, J.: Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging: , University of Luebeck, Preprint, no. arXiv:1710.00798, 2017
    BibTeX DOI
    @TechReport{VogtLellmann2017,
      author =      {Vogt, T. and Lellmann, J.},
      title =       {Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging},
      institution = {University of Luebeck},
      year =        {2017},
      type =        {Preprint},
      number =      {arXiv:1710.00798},
      doi =         {https://arxiv.org/abs/1710.00798}
    }

Talks, Posters and Media

Maths on a Boat: Thomas Vogt and imaging neurons
Interview with Plus Magazine (Cambridge) at Heidelberg Laureate Forum, 09/2017 | External Link

Optimal Transport-Based Total Variation for Functional Lifting and Q-Ball Imaging
Workshop at INI, Cambridge, 09/2017 | Abstract/Video (INI Archive) | Slides

An Optimal Transport-Based Restoration Method for Q-Ball Imaging
SSVM, Kolding, 06/2017 | Poster

Optimal Transport–Based Restoration and Reconstruction of Q-Ball Data
Northern German Colloquium, Hamburg, 05/2017 | Abstract | Slides

The Wasserstein Distance in Q-Ball Imaging
Workshop MVIP, Kaiserslautern, 12/2016 | Slides

Teaching

All course materials are available on Moodle.

Winter term 2017/2018
Bildregistrierung (teaching assistant)

Summer term 2017
Optimierung (teaching assistant)
Variationsrechnung und Partielle Differentialgleichungen (teaching assistant)

Winter term 2016/2017
Lineare Algebra und Diskrete Strukturen 1 (teaching assistant)

Summer term 2016
Lineare Algebra und Diskrete Strukturen 2 (teaching assistant)