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Learning a Variational Network for Reconstruction of Accelerated MRI Data., , , , , , and . CoRR, (2017)An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration., , , and . CoRR, (2019)Shared Prior Learning of Energy-Based Models for Image Reconstruction., , , and . CoRR, (2020)Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction., , , , , and . IEEE Trans. Medical Imaging, 41 (2): 279-291 (2022)Constrained and unconstrained deep image prior optimization models with automatic regularization., , , , and . Comput. Optim. Appl., 84 (1): 125-149 (2023)Total Deep Variation: A Stable Regularizer for Inverse Problems., , , and . CoRR, (2020)Trainable Regularization for Multi-frame Superresolution., , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 90-100. Springer, (2017)Lightweight Video Denoising using Aggregated Shifted Window Attention., , , , and . WACV, page 351-360. IEEE, (2023)Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections., , , , , , , and . Bildverarbeitung für die Medizin, page 334-340. Springer Vieweg, (2018)Shared Prior Learning of Energy-Based Models for Image Reconstruction., , , and . SIAM J. Imaging Sci., 14 (4): 1706-1748 (2021)