Andreas Kofler

25 papers Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries. CoRR Joshua Schulz, David Schote, Christoph Kolbitsch, Kostas Papafitsoros, Andreas Kofler
2025	—	`conf`	Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised Variation. SSVM (1) Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros
2025	J	`jnl`	Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation. CoRR Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros
2025	—	`conf`	Learning Spatially Adaptive $\ell_{1}$-Norms Weights for Convolutional Synthesis Regularization. EUSIPCO Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros
2025	J	`jnl`	Learning Spatially Adaptive ℓ CoRR Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros
2025	J	`jnl`	MR imaging in the low-field: Leveraging the power of machine learning. CoRR Andreas Kofler, Dongyue Si, David Schote, René M. Botnar, Christoph Kolbitsch, Claudia Prieto
2025	J	`jnl`	MRpro - open PyTorch-based MR reconstruction and processing package. CoRR 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, David Schote, Yanglei Wu, Christoph Kolbitsch
2025	J	`jnl`	Robust Myocardial Perfusion MRI Quantification With DeepFermi. IEEE Trans. Biomed. Eng. Sherine Brahma, Andreas Kofler, Felix F. Zimmermann, Tobias Schaeffter, Amedeo Chiribiri, Christoph Kolbitsch
2024	J	`jnl`	Joint $\text{B}_{0}$ and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning. IEEE Trans. Biomed. Eng. David Schote, Lukas Winter, Christoph Kolbitsch, Georg Rose, Oliver Speck, Andreas Kofler
2024	J	`jnl`	PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. IEEE Trans. Computational Imaging Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler
2024	J	`jnl`	Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice. IEEE Trans. Biomed. Eng. Andreas Kofler, Kirsten Miriam Kerkering, Laura Göschel, Ariane Fillmer, Christoph Kolbitsch
2023	J	`jnl`	Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros
2023	—	`conf`	NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps. STACOM@MICCAI Felix Frederik Zimmermann, Andreas Kofler
2023	J	`jnl`	NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps. CoRR Felix Frederik Zimmermann, Andreas Kofler
2023	J	`jnl`	PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. CoRR Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler
2022	J	`jnl`	Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	—	`conf`	Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. ISBI Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	—	`conf`	Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	J	`jnl`	Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2021	J	`jnl`	An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. CoRR Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch
2020	J	`jnl`	Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data. IEEE Trans. Medical Imaging Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch
2020	J	`jnl`	Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier
2019	J	`jnl`	Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. CoRR Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch
2019	J	`jnl`	Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data. CoRR Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch
2018	—	`conf`	A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey