3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning. - Ivo M. Baltruschat; Patryk Szwargulski; Florian Griese; Mirco Grosser; René Werner; Tobias Knopp 001 (MICCAI (2), 2020)

Using Low-Rank Tensors for the Recovery of MPI System Matrices. - Mirco Grosser; Martin Möddel; Tobias Knopp 001 (IEEE Trans. Computational Imaging, 2020)

Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. - Ivo M. Baltruschat; Patryk Szwargulski; Florian Griese; Mirco Grosser; René Werner; Tobias Knopp 001 (Bildverarbeitung für die Medizin, 2021)

Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. - Tobias Knopp 001; Mirco Grosser; Matthias Graeser; Timo Gerkmann; Martin Möddel (ISBI, 2021)

Efficient Optimization Of Mri Sampling Patterns Using The Bayesian Fisher Information Matrix. - Mirco Grosser; Tobias Knopp 001 (ISBI, 2021)

MRIReco.jl: An MRI Reconstruction Framework written in Julia. - Tobias Knopp 001; Mirco Grosser (CoRR, 2021)

Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging Using a Dictionary Approach. - Tobias Knopp 001; Mirco Grosser; Matthias Graeser; Timo Gerkmann; Martin Möddel (IEEE Trans. Medical Imaging, 2021)

Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography. - Tobias Knopp 001; Mirco Grosser (MIDL, 2022)

NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform. - Tobias Knopp 001; Marija Boberg; Mirco Grosser (SIAM J. Sci. Comput., 2023)