| 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 | 7 | 2023 |
| 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 | 5 | 2022 |
| 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 | 3 | 2024 |
| NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps FF Zimmermann, A Kofler International Workshop on Statistical Atlases and Computational Models of …, 2023 | 2 | 2023 |
| Machine Learning for Quantitative MR Image Reconstruction A Kofler, FF Zimmermann, K Papafitsoros arXiv preprint arXiv:2402.19396, 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 |
| 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 |
| 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, ... | | |
Andreas KoflerPhysikalisch-Technische Bundesanstalt, Braunschweig and Berlin, GermanyVerified email at ptb.de
