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Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI., , and . IEEE Trans. Med. Imaging, 34 (1): 72-85 (2015)An Open Benchmark Challenge for Motion Correction of Myocardial Perfusion MRI., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 21 (5): 1315-1326 (2017)Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images., , , , , , , , and . CoRR, (2023)Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI., , and . CoRR, (2014)Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion., , and . STACOM, volume 8896 of Lecture Notes in Computer Science, page 41-50. Springer, (2014)Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data., , , and . EMBC, page 936-941. IEEE, (2006)Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI., , , , , , and . Medical Image Anal., (2021)Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors., , , , , and . ISBI, page 667-670. IEEE, (2018)Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors., and . Vis. Comput. Ind. Biomed. Art, (2020)Level sets and shape models for segmentation of cardiac perfusion MRI., , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 614445. SPIE, (2006)