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Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.

, , , , , , and . CoRR, (2019)

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A variable projection approach to parallel magnetic resonance imaging., and . ISBI, page 1027-1030. IEEE, (2008)Efficient GRAPPA reconstruction using random projection., , and . ISBI, page 700-703. (2013)Compressed-sensing Photoacoustic Imaging based on random optical illumination., , and . I. J. Functional Informatics and Personalised Medicine, 2 (4): 394-406 (2009)DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution., , , , , , , and . CoRR, (2019)Guest Editorial EMBC 2014., , , , , and . IEEE J. Biomedical and Health Informatics, 19 (4): 1291-1292 (2015)Compressed Sensing Dynamic Cardiac Cine MRI Using Learned Spatiotemporal Dictionary., and . IEEE Trans. Biomed. Engineering, 61 (4): 1109-1120 (2014)Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction., , , , and . EMBC, page 2408-2411. IEEE, (2014)Undersampled dynamic magnetic resonance imaging using kernel principal component analysis., and . EMBC, page 1533-1536. IEEE, (2014)An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering., , and . ICASSP, page 1656-1660. IEEE, (2013)k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging., , , and . ISBI, page 410-413. IEEE, (2012)