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Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels.

, , , and . EMBC, page 1107-1110. IEEE, (2016)

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Spark under 2-D fourier sampling., , , and . EUSIPCO, page 2821-2824. IEEE, (2015)Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices., , , , and . IEEE Signal Process. Lett., 22 (11): 1945-1949 (2015)Subspace Aware Recovery of Low Rank and Jointly Sparse Signals., , , and . IEEE Trans. Computational Imaging, 3 (1): 22-35 (2017)Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS)., , and . CoRR, (2018)Coprime conditions for Fourier sampling for sparse recovery., , , , , and . SAM, page 533-536. IEEE, (2014)Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels., , , and . EMBC, page 1107-1110. IEEE, (2016)Subspace based low rank & joint sparse matrix recovery., , , , and . ACSSC, page 642-646. IEEE, (2014)Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI., , , , and . ISBI, page 406-409. IEEE, (2012)A blind compressive sensing frame work for accelerated dynamic MRI., and . ISBI, page 1060-1063. IEEE, (2012)Joint recovery of under sampled signals on a manifold: Application to free breathing cardiac MRI., , and . ICASSP, page 6904-6908. IEEE, (2014)