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Andreas Kofler
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2020 – today
- 2024
- [j5]Andreas Kofler
, Kirsten Miriam Kerkering
Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice. IEEE Trans. Biomed. Eng. 71(2): 388-399 (2024) - [j4]David Schote
Joint $\text{B}_{0}$ and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning. IEEE Trans. Biomed. Eng. 71(10): 2842-2853 (2024) - [j3]Felix F. Zimmermann
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. IEEE Trans. Computational Imaging 10: 628-639 (2024) - 2023
- [j2]Andreas Kofler
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. 16(4): 2202-2246 (2023) - [c4]Felix Frederik Zimmermann, Andreas Kofler:
NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps. STACOM@MICCAI 2023: 454-466 - [i8]Felix F. Zimmermann
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. CoRR abs/2306.11023 (2023) - [i7]Felix Frederik Zimmermann
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps. CoRR abs/2309.15608 (2023) - 2022
- [c3]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO 2022: 1213-1217 - [c2]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. ISBI 2022: 1-5 - [i6]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR abs/2203.02166 (2022) - [i5]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR abs/2206.04447 (2022) - 2021
- [i4]Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch:
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. CoRR abs/2102.00783 (2021) - 2020
- [j1]Andreas Kofler
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data. IEEE Trans. Medical Imaging 39(3): 703-717 (2020) - [i3]Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier:
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR abs/2002.03820 (2020)
2010 – 2019
- 2019
- [i2]Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch:
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data. CoRR abs/1904.01574 (2019) - [i1]Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch:
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. CoRR abs/1912.09395 (2019) - 2018
- [c1]Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey:
A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI 2018: 91-99
Coauthor Index
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