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Christoph Kolbitsch
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2020 – today
- 2024
- [j13]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) - [j12]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) - [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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last updated on 2024-06-10 21:20 CEST by the dblp team
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