Christoph Kolbitsch
Orcid: 0000-0002-4355-8368
According to our database1,
Christoph Kolbitsch
authored at least 26 papers
between 2013 and 2024.
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Bibliography
2024
A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice.
IEEE Trans. Biomed. Eng., February, 2024
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction.
IEEE Trans. Computational Imaging, 2024
2023
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling.
SIAM J. Imaging Sci., December, 2023
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks.
CoRR, 2023
2022
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction.
CoRR, 2021
2020
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data.
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
2019
Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging.
SIAM J. Imaging Sci., 2019
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.
CoRR, 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data.
CoRR, 2019
2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
2017
IEEE Trans. Medical Imaging, 2017
Medical Image Anal., 2017
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting.
CoRR, 2017
2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features.
Medical Image Anal., 2014
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions.
Medical Image Anal., 2013
A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
Proceedings of the Information Processing in Medical Imaging, 2013