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Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction., , , , , , and . CoRR, (2019)Sparse-View CT Reconstruction Using Wasserstein GANs., , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 75-82. Springer, (2018)A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction., , , and . Bildverarbeitung für die Medizin, page 92-97. Springer, (2017)Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions., , , , , , and . MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 71-79. Springer, (2019)Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues., , , , , , and . IEEE Signal Process. Mag., 37 (1): 128-140 (2020)CG-SENSE revisited: Results from the first ISMRM reproducibility challenge., , , , , , , , , and 4 other author(s). CoRR, (2020)Learning a Variational Network for Reconstruction of Accelerated MRI Data., , , , , , and . CoRR, (2017)Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction., , , , and . CoRR, (2019)Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction., , , , , and . CoRR, (2020)Trainable Regularization for Multi-frame Superresolution., , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 90-100. Springer, (2017)