NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps. - Felix Frederik Zimmermann; Andreas Kofler (STACOM@MICCAI, 2023)

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. - Andreas Kofler; Fabian Altekrüger; Fatima Antarou Ba; Christoph Kolbitsch; Evangelos Papoutsellis; David Schote; Clemens Sirotenko; Felix Frederik Zimmermann; Kostas Papafitsoros (SIAM J. Imaging Sci., 2023)

PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. - Felix F. Zimmermann; Christoph Kolbitsch; Patrick Schuenke; Andreas Kofler (IEEE Trans. Computational Imaging, 2024)

Robust Myocardial Perfusion MRI Quantification With DeepFermi. - Sherine Brahma; Andreas Kofler; Felix F. Zimmermann; Tobias Schaeffter; Amedeo Chiribiri; Christoph Kolbitsch (IEEE Trans. Biomed. Eng., 2025)

MRpro - open PyTorch-based MR reconstruction and processing package. - Felix Frederik Zimmermann; Patrick Schuenke; Christoph S. Aigner; Bill A. Bernhardt; Mara Guastini; Johannes Hammacher; Noah Jaitner; Andreas Kofler; Leonid Lunin; Stefan Martin; Catarina Redshaw Kranich; Jakob Schattenfroh; et al. (CoRR, 2025)