Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling A Kofler, F Altekrüger, F Antarou Ba, C Kolbitsch, E Papoutsellis, D Schote, ... SIAM Journal on Imaging Sciences 16 (4), 2202-2246, 2023 | 16 | 2023 |
PINQI: an end-to-end physics-informed approach to learned quantitative MRI reconstruction FF Zimmermann, C Kolbitsch, P Schuenke, A Kofler IEEE Transactions on Computational Imaging, 2024 | 12 | 2024 |
Enhanced ultrafast X-ray diffraction by transient resonances S Kuschel, PJ Ho, AA Haddad, F Zimmermann, L Flueckiger, MR Ware, ... arXiv preprint arXiv:2207.05472, 2022 | 8 | 2022 |
Semi-supervised learning for spatially regularized quantitative MRI reconstruction-application to simultaneous T1, B0, B1 mapping FF Zimmermann, A Kofler, C Kolbitsch, P Schuenke Proc. ISMRM Annu. Meeting, 1166, 2023 | 4 | 2023 |
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps FF Zimmermann, A Kofler International Workshop on Statistical Atlases and Computational Models of …, 2023 | 3 | 2023 |
Physics-Informed Deep Learning for Image Distortion Correction from B 0-inhomogeneities in Low-Field MRI D Schote, L Winter, C Kolbitsch, F Zimmermann, T O'Reilly, A Webb, ... Proc. Intl. Soc. Mag. Reson. Med 31, 1816, 2022 | 3 | 2022 |
Non-linear enhancement of ultrafast X-ray diffraction through transient resonances S Kuschel, PJ Ho, A Al Haddad, FF Zimmermann, L Flueckiger, MR Ware, ... Nature Communications 16 (1), 847, 2025 | 2 | 2025 |
Machine Learning for Quantitative MR Image Reconstruction A Kofler, FF Zimmermann, K Papafitsoros arXiv preprint arXiv:2402.19396, 2024 | 2 | 2024 |
Long-term lipoprotein apheresis reduces cardiovascular events in high-risk patients with isolated lipoprotein (a) elevation F Schumann, U Kassner, D Spira, FF Zimmermann, T Bobbert, ... Journal of Clinical Lipidology, 2024 | 1 | 2024 |
Metrology for artificial intelligence in medicine H Rabus, N Agarwal, A Boubekki, YB Varolgünes, B Clark, C Elster, ... Measurement: Sensors, 101789, 2025 | | 2025 |
Deep learning‐based whole‐brain B1+‐mapping at 7T F Krueger, CS Aigner, M Lutz, LT Riemann, K Degenhardt, ... Magnetic resonance in medicine, 2025 | | 2025 |
Robust Myocardial Perfusion MRI Quantification with DeepFermi S Brahma, A Kofler, FF Zimmermann, T Schaeffter, A Chiribiri, C Kolbitsch IEEE Transactions on Biomedical Engineering, 2024 | | 2024 |
Non-linear enhancement of ultrafast X-ray diffraction through transient resonances T Gorkhover, S Kuschel, P Ho, A Al Haddad, F Zimmermann, L Flückiger, ... | | 2024 |
Machine Learning for Quantitative Magnetic Resonance Image A Kofler, FF Zimmermann, K Papafitsoros Quantification of Biophysical Parameters in Medical Imaging, 171, 2024 | | 2024 |
CNN-based Estimation of Spatio-Temporal Regularization Parameter-Maps for TV-Reconstruction in Dynamic Cardiac MRI A Kofler, C Sirotenko, F Zimmermann, D Schote, C Kolbitsch, F Ba, ... International Society for Magnetic Resonance in Medicine (ISMRM), 2024 | | 2024 |
Towards Incoherent X-ray Imaging with High Resolution F Zimmermann, S Kuschel, M Ware, S Li, J Haber, B Reeves, Y Sun, ... SPring-8/SACLA Research Report 11 (5), 387-389, 2023 | | 2023 |
Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction A Kofler, F Altekrüger, FA Ba, C Kolbitsch, E Papoutsellis, D Schote, ... arXiv preprint arXiv:2304.08350, 2023 | | 2023 |
Ultrafast 3D X-Ray Fluorescence Imaging R Radloff, M Tegze, S Kuschel, A Ulmer, L Rönnebeck, S Li, A Aquila, ... APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2023 …, 2023 | | 2023 |
Incoherent Imaging with X-Ray Fluorescence FF Zimmermann 10.13140/RG.2.2.25929.21600, 2021 | | 2021 |
Potential benefits of electonic damage in x-ray imaging S Kuschel, A Haddad, P Ho, F Zimmermann, L Flueckiger, M Ware, ... APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2020 …, 2020 | | 2020 |