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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)

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Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction., , , , and . CoRR, (2019)The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images., , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 57-65. Springer, (2021)Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data., , , , , , , , , and 1 other author(s). STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 12-20. Springer, (2021)Trainable Regularization for Multi-frame Superresolution., , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 90-100. Springer, (2017)Direct Cardiac Segmentation from Undersampled K-Space using Transformers., , , , , and . ISBI, page 1-4. IEEE, (2024)Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling., , , , , , , , and . MICCAI (10), volume 14229 of Lecture Notes in Computer Science, page 228-238. Springer, (2023)Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation., , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 149-159. Springer, (2021)Bias Field Robustness Verification of Large Neural Image Classifiers., , , and . BMVC, page 202. BMVA Press, (2021)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)