Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie McClelland; Daniel Rueckert; Andrew P. King (IPMI, 2013)

A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. - Devis Peressutti; Graeme P. Penney; Christoph Kolbitsch; Richard James Housden; Alberto Gómez 002; Kawal S. Rhode; Andrew P. King (ISBI, 2013)

A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. - Devis Peressutti; Graeme P. Penney; Richard James Housden; Christoph Kolbitsch; Alberto Gómez 002; Erik-Jan Rijkhorst; Dean C. Barratt; Kawal S. Rhode; Andrew P. King (Medical Image Anal., 2013)

Autoadaptive motion modelling. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andy P. King (ISBI, 2014)

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. - Christian F. Baumgartner; Christoph Kolbitsch; Daniel R. Balfour; Paul K. Marsden; Jamie R. McClelland; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2014)

Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. - Devis Peressutti; Graeme P. Penney; Christoph Kolbitsch; Andrew P. King (Medical Image Anal., 2014)

Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI. - Ghislain Vaillant; Claudia Prieto; Christoph Kolbitsch; Graeme P. Penney; Tobias Schaeffter (IEEE Trans. Medical Imaging, 2014)

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. - Christian F. Baumgartner; Alberto Gómez 002; Lisa M. Koch; Richard James Housden; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andy P. King (IPMI, 2015)

Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. - Jackie Ma; Maximilian März; Stephanie Funk; Jeanette Schulz-Menger; Gitta Kutyniok; Tobias Schaeffter; Christoph Kolbitsch (CoRR, 2017)

Autoadaptive motion modelling for MR-based respiratory motion estimation. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

Novel MRI Technique Enables Non-Invasive Measurement of Atrial Wall Thickness. - Marta Varela; Ross Morgan; Adeline Theron; Desmond Dillon-Murphy; Henry Chubb; John Whitaker; Markus Henningsson; Paul Aljabar; Tobias Schaeffter; Christoph Kolbitsch; Oleg V. Aslanidi (IEEE Trans. Medical Imaging, 2017)

A U-Nets Cascade for Sparse View Computed Tomography. - Andreas Kofler; Markus Haltmeier; Christoph Kolbitsch; Marc Kachelrieß; Marc Dewey (MLMIR@MICCAI, 2018)

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data. - Andreas Kofler; Marc Dewey; Tobias Schaeffter; Christian Wald; Christoph Kolbitsch (CoRR, 2019)

Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. - Andreas Kofler; Markus Haltmeier; Tobias Schaeffter; Marc Kachelrieß; Marc Dewey; Christian Wald; Christoph Kolbitsch (CoRR, 2019)

Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging. - Judith Lehnert; Christoph Kolbitsch; Gerd Wübbeler; Amedeo Chiribiri; Tobias Schaeffter; Clemens Elster (SIAM J. Imaging Sci., 2019)

Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. - Andreas Kofler; Marc Dewey; Tobias Schaeffter; Christoph Kolbitsch; Markus Haltmeier (CoRR, 2020)

SIRF: Synergistic Image Reconstruction Framework. - Evgueni Ovtchinnikov; Richard Brown 004; 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; et al. (Comput. Phys. Commun., 2020)

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data. - Andreas Kofler; Marc Dewey; Tobias Schaeffter; Christian Wald; Christoph Kolbitsch (IEEE Trans. Medical Imaging, 2020)

An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. - Andreas Kofler; Markus Haltmeier; Tobias Schaeffter; Christoph Kolbitsch (CoRR, 2021)

Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. - Andreas Kofler; Christian Wald; Tobias Schaeffter; Markus Haltmeier; Christoph Kolbitsch (EUSIPCO, 2022)

Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. - Andreas Kofler; Christian Wald; Tobias Schaeffter; Markus Haltmeier; Christoph Kolbitsch (ISBI, 2022)

Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks. - Christiane Posselt; Mehmet Yigit Avci; Mehmet Yigitsoy; Patrick Schünke; Christoph Kolbitsch; Tobias Schäffter; Stefanie Remmele (CoRR, 2023)

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. - Andreas Kofler; Fabian Altekrüger; Fatima Antarou Ba; Christoph Kolbitsch; Evangelos Papoutsellis; David Schote; Clemens Sirotenko; Felix Frederik Zimmermann; Kostas Papafitsoros (SIAM J. Imaging Sci., 2023)

PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. - Felix F. Zimmermann; Christoph Kolbitsch; Patrick Schuenke; Andreas Kofler (IEEE Trans. Computational Imaging, 2024)

Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice. - Andreas Kofler; Kirsten Miriam Kerkering; Laura Göschel; Ariane Fillmer; Christoph Kolbitsch (IEEE Trans. Biomed. Eng., 2024)

A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning. - Chiara Manini; Olena Nemchyna; Serdar Akansel; Lars Walczak; Lennart Tautz; Christoph Kolbitsch; Volkmar Falk; Simon H. Sündermann; Titus Kühne; Jeanette Schulz-Menger; Anja Hennemuth (Int. J. Comput. Assist. Radiol. Surg., 2024)

Joint $ text{B}_{0}$ and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning. - David Schote; Lukas Winter; Christoph Kolbitsch; Georg Rose; Oliver Speck; Andreas Kofler (IEEE Trans. Biomed. Eng., 2024)

MR imaging in the low-field: Leveraging the power of machine learning. - Andreas Kofler; Dongyue Si; David Schote; René M. Botnar; Christoph Kolbitsch; Claudia Prieto (CoRR, 2025)

Learning Spatially Adaptive ℓ1-Norms Weights for Convolutional Synthesis Regularization. - Andreas Kofler; Luca Calatroni; Christoph Kolbitsch; Kostas Papafitsoros (CoRR, 2025)

Robust Myocardial Perfusion MRI Quantification With DeepFermi. - Sherine Brahma; Andreas Kofler; Felix F. Zimmermann; Tobias Schaeffter; Amedeo Chiribiri; Christoph Kolbitsch (IEEE Trans. Biomed. Eng., 2025)

MRpro - open PyTorch-based MR reconstruction and processing package. - 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; et al. (CoRR, 2025)