Andreas Kofler
Orcid: 0000-0001-9169-2572
According to our database1,
Andreas Kofler
authored at least 12 papers
between 2018 and 2024.
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Bibliography
2024
Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice.
IEEE Trans. Biomed. Eng., February, 2024
2023
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling.
SIAM J. Imaging Sci., December, 2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction.
CoRR, 2023
NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 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
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