Mirco Grosser, M.Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 202
22529 Hamburg

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.: 040/ 7410 56355
E-Mail: mi.grosser@uke.de

Research Interests

  • Magnetic Resonance Imaging
  • Image Reconstruction

Curriculum Vitae

Mirco Grosser is a PhD student in the group of Tobias Knopp for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology. From 2010 to 2016 he studied physics at the University of Hamburg. In 2016 he obtained his master's degree with a thesis on "Attosecond x-ray scattering from a particle-hole wave packet".

Publications

  • I. M. Baltruschat, P. Szwargulski, F. Griese, M. Grosser, R. Werner, and T. Knopp (2021). Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing. 337-337. [BibTex]

  • M. Grosser, T. Knopp (2021). Efficient Optimization Of Mri Sampling Patterns Using The Bayesian Fisher Information Matrix. IEEE 18th International Symposium on Biomedical Imaging (ISBI). 234-237. [BibTex]

  • T. Knopp and M. Grosser (2021). MRIReco. jl: An MRI Reconstruction Framework written in Julia. Magn. Reson. Med.. 00 1-14. [doi] [www] [BibTex]

  • T. Knopp, M. Grosser, M. Graeser, T. Gerkmann, and M. Möddel (2021). Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging using a Dictionary Approach. IEEE Transactions on Medical Imaging. accepted. [www] [BibTex]

  • T. Knopp, M. Grosser, M. Graeser, T. Gerkmann, M. Möddel (2021). Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. [BibTex]

  • M. Grosser, M. Boberg, M. Bahe, T. Knopp (2020). Enhanced compressed sensing recovery of multi-patch system matrices in {MPI}. International Journal on Magnetic Particle Imaging. 6 (2), [doi] [www] [BibTex]

  • I. M. Baltruschat, P. Szwargulski, F. Griese, M Grosser, R. Werner, T. Knopp (2019). 3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning. arXiv preprint arXiv:1905.03026. [www] [BibTex]

  • M. Grosser and T. Knopp (2019). Low Rank Approach to Sparse System Matrix Recovery for MPI. 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). 31-32. [Abstract] [BibTex]

  • T. Knopp and M. Grosser (2019). MRIReco.jl: An Extensible Open-Source Image Reconstruction Framework written in Julia. Proc. ISMRM 2019. [BibTex]

  • T. Knopp, P. Szwargulski, F. Griese, M. Grosser, M. Boberg, M. Möddel (2019). MPIReco.jl: Julia Package for Image Reconstruction in MPI. International Journal on Magnetic Particle Imaging. 5 (1), 9 pp. [doi] [BibTex]

  • M. Grosser, J.M. Slowik, and R. Santra (2017). Attosecond x-ray scattering from a particle-hole wave packet. Phys. Rev. A. 95 (6), 062107. [doi] [www] [BibTex]

  • P. Nalbach, A.J.A. Achner, M. Frey, M. Grosser, C. Bressler, and M. Thorwart (2014). Hydration shell effects in the relaxation dynamics of photoexcited Fe-II complexes in water. The Journal of Chemical Physics. 141 (4), 044304. [doi] [www] [BibTex]