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Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues., , , , , , и . IEEE Signal Process. Mag., 37 (1): 128-140 (2020)Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging., , , , , и . Bildverarbeitung für die Medizin, стр. 82-87. Springer, (2024)Bias Field Robustness Verification of Large Neural Image Classifiers., , , и . BMVC, стр. 202. BMVA Press, (2021)Learning Diffeomorphic and Modality-invariant Registration using B-splines., , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 645-664. PMLR, (2021)Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions., , , , , , и . MLMIR@MICCAI, том 11905 из Lecture Notes in Computer Science, стр. 71-79. Springer, (2019)Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation., , , , и . IEEE Trans. Medical Imaging, 43 (7): 2420-2433 (июля 2024)CG-SENSE revisited: Results from the first ISMRM reproducibility challenge., , , , , , , , , и 4 other автор(ы). CoRR, (2020)Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction., , , , и . CoRR, (2019)Trainable Regularization for Multi-frame Superresolution., , , , и . GCPR, том 10496 из Lecture Notes in Computer Science, стр. 90-100. Springer, (2017)Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data., , , , , , , , , и 1 other автор(ы). STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 12-20. Springer, (2021)