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ORCIDChristoph Kolbitsch
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2020 – today
- 2024
[j14]Chiara Manini
, Olena Nemchyna, Serdar Akansel, Lars Walczak, Lennart Tautz, Christoph Kolbitsch, Volkmar Falk, Simon H. Sündermann, Titus Kühne, Jeanette Schulz-Menger, Anja Hennemuth:
A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning. Int. J. Comput. Assist. Radiol. Surg. 19(3): 553-569 (2024)- [j13]Andreas Kofler, Kirsten Miriam Kerkering, Laura Göschel, Ariane Fillmer, Christoph Kolbitsch:
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) - [j12]David Schote, Lukas Winter, Christoph Kolbitsch, Georg Rose, Oliver Speck, Andreas Kofler:
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) - [j11]Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler:
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. IEEE Trans. Computational Imaging 10: 628-639 (2024) - 2023
- [j10]Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros:
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. 16(4): 2202-2246 (2023) - [i9]Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler:
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. CoRR abs/2306.11023 (2023) - [i8]Christiane Posselt, Mehmet Yigit Avci, Mehmet Yigitsoy, Patrick Schünke, Christoph Kolbitsch, Tobias Schäffter, Stefanie Remmele:
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks. CoRR abs/2311.01894 (2023) - 2022
- [c7]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 - [c6]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 - [i7]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) - [i6]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
- [i5]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
- [j9]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:
SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 249: 107087 (2020) - [j8]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 Training Data. IEEE Trans. Medical Imaging 39(3): 703-717 (2020) - [i4]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
- [j7]Judith Lehnert, Christoph Kolbitsch, Gerd Wübbeler, Amedeo Chiribiri, Tobias Schaeffter, Clemens Elster:
Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging. SIAM J. Imaging Sci. 12(4): 2035-2062 (2019) - [i3]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) - [i2]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
- [c5]Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey:
A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI 2018: 91-99 - 2017
- [j6]Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King:
Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. 35: 83-100 (2017) - [j5]Marta Varela, Ross Morgan, Adeline Theron, Desmond Dillon-Murphy, Henry Chubb, John Whitaker, Markus Henningsson, Paul Aljabar, Tobias Schaeffter, Christoph Kolbitsch, Oleg V. Aslanidi:
Novel MRI Technique Enables Non-Invasive Measurement of Atrial Wall Thickness. IEEE Trans. Medical Imaging 36(8): 1607-1614 (2017) - [i1]Jackie Ma, Maximilian März, Stephanie Funk, Jeanette Schulz-Menger, Gitta Kutyniok, Tobias Schaeffter, Christoph Kolbitsch:
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. CoRR abs/1705.00463 (2017) - 2015
- [c4]Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King:
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI 2015: 363-374 - 2014
- [j4]Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King:
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. 18(7): 939-952 (2014) - [j3]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Andrew P. King:
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Medical Image Anal. 18(7): 1015-1025 (2014) - [j2]Ghislain Vaillant, Claudia Prieto, Christoph Kolbitsch, Graeme P. Penney, Tobias Schaeffter:
Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI. IEEE Trans. Medical Imaging 33(1): 1-10 (2014) - [c3]Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King:
Autoadaptive motion modelling. ISBI 2014: 457-460 - 2013
- [j1]Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King:
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. 17(4): 488-502 (2013) - [c2]Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King:
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. IPMI 2013: 232-243 - [c1]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Richard James Housden, Alberto Gómez, Kawal S. Rhode, Andrew P. King:
A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. ISBI 2013: 29-32
Coauthor Index
aka: Tobias Schäffter
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