Annika Hofmann

Annika Hofmann

Department Artificial Intelligence in Biomedical Engineering (AIBE)
W3-Professur für Computational Imaging

Room: Room 2.02
Werner-von-Siemens-Str. 61
91052 Erlangen

Office hours

by appointment

I’m part of a research unit focused on advancing “MR biosignature imaging” for non-invasive tissue characterization, particularly in diffusion-weighted imaging (DWI). My research focuses on developing a sequence combining complex diffusion encoding directions with advanced reconstruction methods. This will lead to faster multidimensional DWI and improved resolution through techniques like simultaneous multi-slice acceleration and low-rank regularization.

I am enthusiastic about supervising thesis and projects, and I encourage individuals from all backgrounds and genders to reach out.

Academic CV

  • Since 09/2023
    Ph.D. Candidate at Computational Imaging Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 04/2020 – 04/2022
    M.Sc. in Medical Physics at TU Dortmund University.
    Thesis: “T1 and T2*-sensitive MRI of Tissue Oxygenation Status under Cyclic Oxygen Challenge”,
    written at University of British Columbia, Vancouver, Canada