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Fast data acquisition in Magnetic Resonance Imaging (MRI) is vastly in demand and scan time directly depends on the number of acquired k-space samples.
Simultaneous acquisition of spatial harmonics (smash): fast imaging with radiofrequency coil arrays
D. K. Sodickson and W. J. Manning · 1997
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Auto-smash: a self-calibrating technique for smash imaging
P. M. Jakob, M. A. Griswold, R. R. Edelman, and D. K. Sodickson · 1998
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Sense: sensitivity encoding for fast mri
K. P. Pruessmann, M. Weiger, M. B. Scheidegger, P. Boesiger, et al · 1999
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Partially parallel imaging with localized sensitivities (pils)
M. A. Griswold, P. M. Jakob, M. Nittka, J. W. Goldfarb, and A. Haase · 2000
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Sensitivity profiles from an array of coils for encoding and reconstruction in parallel (space rip)
W. E. Kyriakos, L. P. Panych, D. F. Kacher, C.-F. Westin, S. M. Bao, R. V. Mulkern, and F. A. Jolesz · 2000
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Adaptive reconstruction of phased array mr imagery
D. O. Walsh, A. F. Gmitro, and M. W. Marcellin · 2000
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Vd-auto-smash imaging
R. M. Heidemann, M. A. Griswold, A. Haase, and P. M. Jakob · 2001
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Advances in sensitivity encoding with arbitrary k-space trajectories
K. P. Pruessmann, M. Weiger, P. Börnert, and P. Boesiger · 2001
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Generalized autocalibrating partially parallel acquisitions (grappa)
M. A. Griswold, P. M. Jakob, R. M. Heidemann, M. Nittka, V. Jellus, J. Wang, B. Kiefer, and A. Haase · 2002
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3parallel magnetic resonance imaging with adaptive radius in k-space (pars): Constrained image reconstruction using k-space locality in radiofrequency coil encoded data
E. N. Yeh, C. A. McKenzie, M. A. Ohliger, and D. K. Sodickson · 2005
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Controlled aliasing in volumetric parallel imaging (2d caipirinha)
F. A. Breuer, M. Blaimer, M. F. Mueller, N. Seiberlich, R. M. Heidemann, M. A. Griswold, and P. M. Jakob · 2006
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Auto-calibrated parallel spiral imaging
K. Heberlein and X. Hu · 2006
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Augmented generalized sense reconstruction to correct for rigid body motion
R. Bammer, M. Aksoy, and C. Liu · 2007
Cited alongside, same era.
Parallel imaging reconstruction for arbitrary trajectories using k-space sparse matrices (kspa)
C. Liu, R. Bammer, and M. E. Moseley · 2007
Cited alongside, same era.
Sparse mri: The application of compressed sensing for rapid mr imaging
M. Lustig, D. Donoho, and J. M. Pauly · 2007
Cited alongside, same era.
Reconstruction of undersampled non-cartesian data sets using pseudo-cartesian grappa in conjunction with grog
N. Seiberlich, F. Breuer, R. Heidemann, M. Blaimer, M. Griswold, and P. Jakob · 2008
Cited alongside, same era.
Accelerating sense using compressed sensing
D. Liang, B. Liu, J. Wang, and L. Ying · 2009
Cited alongside, same era.
Spirit: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Espirit—an eigenvalue approach to autocalibrating parallel mri: where sense meets grappa
M. Uecker, P. Lai, M. J. Murphy, P. Virtue, M. Elad, J. M. Pauly, S. S. Vasanawala, and M. Lustig · 2014
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Wave-caipi for highly accelerated 3d imaging
B. Bilgic, B. A. Gagoski, S. F. Cauley, A. P. Fan, J. R. Polimeni, P. E. Grant, L. L. Wald, and K. Setsompop · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Plug-and-play priors for bright field electron tomography and sparse interpolation
S. Sreehari, S. V. Venkatakrishnan, B. Wohlberg, G. T. Buzzard, L. F. Drummy, J. P. Simmons, and C. A. Bouman · 2016
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M. Lustig and J. M. Pauly · 2010
Cited alongside, same era.
Distributed optimization and statistical learning via the alternating direction method of multipliers
S. Boyd, N. Parikh, E. Chu, B. Peleato, J. Eckstein, et al · 2011
Cited alongside, same era.
Parallel mr image reconstruction using augmented lagrangian methods
S. Ramani and J. A. Fessler · 2011
Cited alongside, same era.
Realistic analytical phantoms for parallel magnetic resonance imaging
M. Guerquin-Kern, L. Lejeune, K. P. Pruessmann, and M. Unser · 2012
Cited alongside, same era.
Plug-and-play priors for model based reconstruction
S. V. Venkatakrishnan, C. A. Bouman, and B. Wohlberg · 2013
Cited alongside, same era.
Low-rank modeling of local
J. P. Haldar · 2014
Cited alongside, same era.
Plug-and-play admm for image restoration: Fixed-point convergence and applications
S. H. Chan, X. Wang, and O. A. Elgendy · 2017
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A plug-and-play priors approach for solving nonlinear imaging inverse problems
U. S. Kamilov, H. Mansour, and B. Wohlberg · 2017
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Compressed sensing magnetic resonance imaging based on shearlet sparsity and nonlocal total variation
A. P. Yazdanpanah and E. E. Regentova · 2017
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Compressed sensing mri using curvelet sparsity and nonlocal total variation: Cs-nltv
A. P. Yazdanpanah and E. E. Regentova · 2017
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Learning a variational network for reconstruction of accelerated mri data
K. Hammernik, T. Klatzer, E. Kobler, M. P. Recht, D. K. Sodickson, T. Pock, and F. Knoll · 2018
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An online plug-and-play algorithm for regularized image reconstruction
Y. Sun, B. Wohlberg, and U. S. Kamilov · 2019
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