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Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study., , , , , , , , , and 1 other author(s). CoRR, (2020)Variational Networks: Connecting Variational Methods and Deep Learning., , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 281-293. Springer, (2017)Total Deep Variation for Linear Inverse Problems., , , and . CVPR, page 7546-7555. Computer Vision Foundation / IEEE, (2020)Explicit Diffusion of Gaussian Mixture Model Based Image Priors., , , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 3-15. Springer, (2023)Total Deep Variation: A Stable Regularizer for Inverse Problems., , , and . CoRR, (2020)Learning a Variational Network for Reconstruction of Accelerated MRI Data., , , , , , and . CoRR, (2017)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)An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration., , , and . CoRR, (2019)