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Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications., , , , и . IEEE Signal Process. Mag., 40 (1): 164-182 (2023)Reordering for improving global Arnoldi-Tikhonov method in image restoration problems., , и . Signal Image Video Process., 12 (3): 497-504 (2018)High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm., , , , и . DGCI, том 10502 из Lecture Notes in Computer Science, стр. 109-121. Springer, (2017)End-to-end reconstruction meets data-driven regularization for inverse problems., , , и . NeurIPS, стр. 21413-21425. (2021)Adversarial Regularizers in Inverse Problems., , и . NeurIPS, стр. 8516-8525. (2018)Deep Bayesian Inversion., и . CoRR, (2018)Solving ill-posed inverse problems using iterative deep neural networks., и . CoRR, (2017)Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation., , и . MLMIR@MICCAI, том 11905 из Lecture Notes in Computer Science, стр. 151-162. Springer, (2019)Neural incomplete factorization: learning preconditioners for the conjugate gradient method., , и . CoRR, (2023)Deep Learning for Material Decomposition in Photon-Counting CT., , и . CoRR, (2022)