Erik Gösche

Erik Gösche, M. Sc.

PhD Candidate & Director of IT @ CIL

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 am specializing in the development of deep learning algorithms for MRI reconstruction. My research focuses on creating advanced techniques to improve the quality and usability of dynamic contrast-enhanced MRI (DCE-MRI) for breast imaging.

I am happy to supervise motivated students for a project or thesis who have already gained first experience in the field of MRI reconstruction. Feel free to contact me!

  • Since 02/2024
    Ph.D. Candidate at Computational Imaging Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 10/2021 – 11/2023
    M.Sc. in Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg
    Thesis: “Attention-based networks for brain segmentation in k-space”, written at University of California, San Francisco
  • 10/2018 – 09/2021
    B.Sc. in Applied Computer Science at University of Applied Sciences Mittweida
    Thesis: “Object detection as a pre-processing step for segmentation of people”, written at Volkswagen Sachsen GmbH, Zwickau

  • Seminar: Machine Learning in MRI (WS/SS)

2024

Conference Contributions

Student Title Type Status
Nguyen Anh Mai Extension and Evaluation of the SPICER Architecture for 2D+Time Cardiovascular MRI Reconstruction Project Running
Ximeng Zhang Comparative Literature Review of DCE MRI Analysis Frameworks and Tracer Kinetic Modeling Approaches Master’s Thesis Running
Alen Jose Anto Comparison of non-uniform Fast Fourier Transform implementations using DCE MRI data Project Completed