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Journal Articles
- 2020
[j1]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)
Conference and Workshop Papers
- 2024
- [c4]Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann:
Generative Sliced MMD Flows with Riesz Kernels. ICLR 2024 - 2022
- [c3]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 - [c2]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 - 2020
- [c1]Max Bartunik, Thomas Thalhofer, Christian Wald, Martin Richter, Georg Fischer, Jens Kirchner:
Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump. BODYNETS 2020: 92-105
Informal and Other Publications
- 2024
- [i9]Fatima Antarou Ba, Oleh Melnyk, Christian Wald, Gabriele Steidl:
Sparse additive function decompositions facing basis transforms. CoRR abs/2403.15563 (2024) - [i8]Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl:
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. CoRR abs/2403.18705 (2024) - 2023
- [i7]Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann:
Generative Sliced MMD Flows with Riesz Kernels. CoRR abs/2305.11463 (2023) - [i6]Christian Wald, Gabriele Steidl:
A Study of Particle Motion in the Presence of Clusters. CoRR abs/2308.11314 (2023) - [i5]Jannis Chemseddine, Paul Hagemann, Christian Wald:
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances. CoRR abs/2310.13433 (2023) - 2022
- [i4]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) - [i3]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) - 2019
- [i2]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) - [i1]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)
Coauthor Index
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