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Learning a Variational Network for Reconstruction of Accelerated MRI Data., , , , , , and . CoRR, (2017)The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration., , , , and . Comput. Sci. Eng., 15 (1): 34-44 (2013)fastMRI: An Open Dataset and Benchmarks for Accelerated MRI., , , , , , , , , and 13 other author(s). CoRR, (2018)Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction., , , , , and . IEEE Trans. Medical Imaging, 41 (2): 279-291 (2022)State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge., , , , , , , , , and 13 other author(s). CoRR, (2020)Stable deep MRI reconstruction using Generative Priors., , and . CoRR, (2022)Preconditioned ADMM with Nonlinear Operator Constraint., , , and . System Modelling and Optimization, volume 494 of IFIP Advances in Information and Communication Technology, page 117-126. (2015)Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer., , , , , and . IEEE Trans. Med. Imaging, 36 (1): 1-16 (2017)Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge., , , , , , , , , and 1 other author(s). CoRR, (2020)The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94170G. SPIE, (2015)