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Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI., , , and . CoRR, (2022)Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging., , , and . CoRR, (2022)Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space., , and . CoRR, (2021)A Note on the Regularity of Images Generated by Convolutional Neural Networks., and . SIAM J. Math. Data Sci., 5 (3): 670-692 (September 2023)Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data., , , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 326-338. Springer, (2023)Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging., , , and . SIAM J. Imaging Sci., 17 (1): 301-333 (March 2024)Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars., , , , , , , , , and . DH, (2023)Artifact-Free Variational MPEG Decompression., and . SSVM, volume 9087 of Lecture Notes in Computer Science, page 216-228. Springer, (2015)A TGV Regularized Wavelet Based Zooming Model., and . SSVM, volume 7893 of Lecture Notes in Computer Science, page 149-160. Springer, (2013)Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction., , , , , , , and . IEEE Trans. Medical Imaging, 37 (2): 590-603 (2018)