Andreas Kofler

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Image Reconstruction

Inverse Problems

Dictionary Learning

Top Venues

SIAM J. Imaging Sci.

Publications

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) (2024)
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 (2024)
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) (2023)
Felix Frederik Zimmermann, Andreas Kofler
NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps. STACOM@MICCAI (2023)
Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. CoRR (2023)
Felix Frederik Zimmermann, Andreas Kofler
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps. CoRR (2023)
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)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR (2022)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR (2022)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO (2022)
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 (2021)
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) (2020)
Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR (2020)
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 (2019)
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 (2019)
Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey
A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI (2018)