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)

Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump. - Max Bartunik; Thomas Thalhofer; Christian Wald; Martin Richter; Georg Fischer 001; Jens Kirchner (BODYNETS, 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)

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)

A Study of Particle Motion in the Presence of Clusters. - Christian Wald; Gabriele Steidl (CoRR, 2023)

Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances. - Jannis Chemseddine; Paul Hagemann; Christian Wald (CoRR, 2023)

Generative Sliced MMD Flows with Riesz Kernels. - Johannes Hertrich; Christian Wald; Fabian Altekrüger; Paul Hagemann (ICLR, 2024)

Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure. - Bernhard Föllmer; Kenrick Schulze; Christian Wald; Sebastian Stober; Wojciech Samek; Marc Dewey (MIDL, 2024)

Sparse additive function decompositions facing basis transforms. - Fatima Antarou Ba; Oleh Melnyk; Christian Wald; Gabriele Steidl (CoRR, 2024)

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. - Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2024)

Investigation on Microliter Free Jetting Using a Piezoelectric Micro Pump. - Anne Zimmermann; Jasmin Podlech; Daniel Anheuer; Christian Wald (BIOSTEC (1), 2025)

Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. - Jannis Chemseddine; Christian Wald; Richard Duong; Gabriele Steidl (ICLR, 2025)

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans. - Christian Wald; Gabriele Steidl (CoRR, 2025)

Trajectory Generator Matching for Time Series. - T. Jahn; Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2025)