Mirco Grosser

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Top Venues

Bildverarbeitung für die Medizin

IEEE Trans. Computational Imaging

Publications

Tobias Knopp, Marija Boberg, Mirco Grosser
NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform. SIAM J. Sci. Comput. 45 (3) (2023)
Tobias Knopp, Marija Boberg, Mirco Grosser
NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform. CoRR (2022)
Tobias Knopp, Mirco Grosser
Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography. MIDL (2022)
Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp
Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. Bildverarbeitung für die Medizin (2021)
Mirco Grosser, Tobias Knopp
Efficient Optimization Of Mri Sampling Patterns Using The Bayesian Fisher Information Matrix. ISBI (2021)
Tobias Knopp, Mirco Grosser
MRIReco.jl: An MRI Reconstruction Framework written in Julia. CoRR (2021)
Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging Using a Dictionary Approach. IEEE Trans. Medical Imaging 40 (12) (2021)
Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. ISBI (2021)
Mirco Grosser, Martin Möddel, Tobias Knopp
Using Low-Rank Tensors for the Recovery of MPI System Matrices. IEEE Trans. Computational Imaging 6 (2020)
Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning. MICCAI (2) (2020)
Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning. CoRR (2019)