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Self-Supervised Federated Learning for Fast MR Imaging., , , , and . IEEE Trans. Instrum. Meas., (2024)PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging., , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 2659-2670 (September 2023)PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging., , , , and . CoRR, (2022)Underwater Image Enhancement Based on Multi-Scale Spatial and Channel Attention Fusion., , , and . ICIGP, page 200-207. ACM, (2021)SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging., , , , , , and . CoRR, (2022)FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction., , , and . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, volume 14393 of Lecture Notes in Computer Science, page 347-356. Springer, (2023)Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging., , , , , , and . CoRR, (2024)Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction., , , , , , and . ISBI, page 1-4. IEEE, (2023)DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging., , , , , , , , , and 1 other author(s). CoRR, (2024)AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning., , , , , , , , and . CoRR, (2024)