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Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI., , and . EMBC, page 1473-1476. IEEE, (2017)Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data., , , , , and . CoRR, (2019)Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI., , , , and . EMBC, page 1472-1476. IEEE, (2022)Motion robust magnetic resonance imaging via efficient Fourier aggregation., , , , , , , , and . Medical Image Anal., (2023)Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning., , , , and . NeuroImage, (2022)Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI., , , , , , and . NeuroImage, (2015)Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data., , , , , and . ISBI, page 921-925. IEEE, (2020)Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction., , , and . ISBI, page 1954-1957. IEEE, (2020)Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging., , , , and . EIT, page 399-403. IEEE, (2018)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)