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Deep learning approaches to accelerated MRI take a matrix of sampled Fourier-space lines as input and produce a spatial image as output.
Halving mr imaging time by conjugation: demonstration at 3.5 kg
David A. Feinberg, James D. Hale, Jeffrey C. Watts, Leon Kaufman, and Alexander Mark · 1986
Earlier work this paper cites.
A fast, iterative, partial-fourier technique capable of local phase recovery
EM Haacke, ED Lindskogj, and W Lin · 1991
Earlier work this paper cites.
Quantitative evaluation of several partial fourier reconstruction algorithms used in mri
G. McGibney, M. R. Smith, S. T. Nichols, and A. Crawley · 1993
Earlier work this paper cites.
Sense: Sensitivity encoding for fast mri
Klaas P. Pruessmann, Markus Weiger, Markus B. Scheidegger, and Peter Boesiger · 1999
Earlier work this paper cites.
Generalized autocalibrating partially parallel acquisitions (grappa)
Mark A. Griswold, Peter M. Jakob, Robin M. Heidemann, Mathias Nittka, Vladimir Jellus, Jianmin Wang, Berthold Kiefer, and Axel Haase · 2002
Cited alongside, same era.
Sparse mri: The application of compressed sensing for rapid mr imaging
Michael Lustig, David Donoho, and John M. Pauly · 2007
Cited alongside, same era.
Parallel mr imaging
Anagha Deshmane, Vikas Gulani, Mark A. Griswold, and Nicole Seiberlich · 2012
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Cited alongside, same era.
A deep cascade of convolutional neural networks for mr image reconstruction
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, and Daniel Rueckert · 2018
Later among the works it cites.
Magnetic resonance angiography with compressed sensing: An evaluation of moyamoya disease
Takayuki Yamamoto, Tomohisa Okada, Yasutaka Fushimi, Akira Yamamoto, Koji Fujimoto, Sachi Okuchi, Hikaru Fukutomi, Jun C. Takahashi, Takeshi Funaki, Susumu Miyamoto, Aurélien F. Stalder, Yutaka Natsuaki, Peter Speier, and Kaori Togashi · 2018
Later among the works it cites.
fastMRI: An open dataset and benchmarks for accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, and Yvonne W. Lui · 2018
Later among the works it cites.
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