Christoph Kolbitsch

37 papers Journal 29Unranked 8

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`	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`	PET Rapid Image Reconstruction Challenge (PETRIC). CoRR Casper O. da Costa-Luis, Matthias J. Ehrhardt, Christoph Kolbitsch, Evgueni Ovtchinnikov, Edoardo Pasca, Kris Thielemans, Charalampos Tsoumpas
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`	A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning. Int. J. Comput. Assist. Radiol. Surg. Chiara Manini, Olena Nemchyna, Serdar Akansel, Lars Walczak, Lennart Tautz, Christoph Kolbitsch, Volkmar Falk, Simon H. Sündermann, Titus Kühne, Jeanette Schulz-Menger, Anja Hennemuth
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	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
2023	J	`jnl`	Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks. CoRR Christiane Posselt, Mehmet Yigit Avci, Mehmet Yigitsoy, Patrick Schünke, Christoph Kolbitsch, Tobias Schäffter, Stefanie Remmele
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`	SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. Evgueni Ovtchinnikov, Richard Brown, Christoph Kolbitsch, Edoardo Pasca, Casper O. da Costa-Luis, Ashley Gillman, Benjamin A. Thomas, Nikos Efthimiou, Johannes Mayer, Palak Wadhwa, Matthias J. Ehrhardt, Sam Ellis, Jakob Sauer Jørgensen, Julian C. Matthews, Claudia Prieto, Andrew J. Reader, Charalampos Tsoumpas, Martin J. Turner, Kris Thielemans
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`	Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging. SIAM J. Imaging Sci. Judith Lehnert, Christoph Kolbitsch, Gerd Wübbeler, Amedeo Chiribiri, Tobias Schaeffter, Clemens Elster
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
2017	J	`jnl`	Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2017	J	`jnl`	Novel MRI Technique Enables Non-Invasive Measurement of Atrial Wall Thickness. IEEE Trans. Medical Imaging Marta Varela, Ross Morgan, Adeline Theron, Desmond Dillon-Murphy, Henry Chubb, John Whitaker, Markus Henningsson, Paul Aljabar, Tobias Schaeffter, Christoph Kolbitsch, Oleg V. Aslanidi
2017	J	`jnl`	Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. CoRR Jackie Ma, Maximilian März, Stephanie Funk, Jeanette Schulz-Menger, Gitta Kutyniok, Tobias Schaeffter, Christoph Kolbitsch
2015	—	`conf`	Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014	—	`conf`	Autoadaptive motion modelling. ISBI Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014	J	`jnl`	High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2014	J	`jnl`	Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Medical Image Anal. Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Andrew P. King
2014	J	`jnl`	Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI. IEEE Trans. Medical Imaging Ghislain Vaillant, Claudia Prieto, Christoph Kolbitsch, Graeme P. Penney, Tobias Schaeffter
2013	—	`conf`	A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. ISBI Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Richard James Housden, Alberto Gómez, Kawal S. Rhode, Andrew P. King
2013	J	`jnl`	A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King
2013	—	`conf`	Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. IPMI Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King