Publications about 'Magnetic resonance imaging'

Articles in journal or book chapters

1. Meenu Rani, S. B. Dhok, and R. B. Deshmukh. A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications. IEEE Access, 6:4875-4894, 2018. Keyword(s): Compressive Sensing, CS, Sensors, Transforms, Mathematical model, Sparse matrices, Compressed sensing, Reconstruction algorithms, Image reconstruction, systematic review, compressive sensing, sensing modality, sparse representation, compressible representation, Nyquist sampling rate, varied reconstruction algorithms, compressive measurements, CS acquisition strategies, signal representation, transform domain, sparsity, random demodulator, CS reconstruction algorithms, OMP, CS applications. [Abstract] [bibtex-entry]



2. Jeffrey A. Fessler and B. P. Sutton. Nonuniform fast Fourier transforms using min-max interpolation. IEEE Transactions on Signal Processing, 51(2):560-574, February 2003. Keyword(s): fast Fourier transforms, frequency-domain analysis, interpolation, minimax techniques, multidimensional signal processing, signal sampling, FFT, Kaiser-Bessel function, frequency domain, min-max interpolation, multidimensional signals, nonuniform FT, nonuniform fast Fourier transforms, nonuniform sampling, signal processing, worst-case approximation error, Approximation error, Fast Fourier transforms, Frequency domain analysis, Image reconstruction, Interpolation, Iterative methods, Magnetic resonance imaging, Multidimensional signal processing, Multidimensional systems, Nonuniform sampling, NFFT, nonuniform FFT, nonequispaced FFT. [Abstract] [bibtex-entry]

Conference articles

1. T. R. Clem, D. D. Sternlicht, J. E. Fernandez, J. L. Prater, R. Holtzapple, R. P. Gibson, J. P. Klose, and T. M. Marston. Demonstration of advanced sensors for underwater unexploded ordnance (UXO) detection. In Proc. Oceans, pages 1-4, October 2012. Keyword(s): inspection, oceanographic equipment, sensors, Office of Naval Research Small Synthetic Aperture MineHunter, REMUS BMI system, REMUS buried mine identification system, SSAM, UXO detection, UXO removal, advanced sensor demonstration, advanced sensors, clutter rejection, commercial-off-the-shelf sensors, diver inspections, hydronalix surfsense microUSV, hydronalix surfsense microunmanned surface vessel, man-made objects, military test ranges, seabed unexploded ordnance, subsurface UXO sized objects, underwater unexploded ordnance detection, Clutter, Inspection, Magnetic resonance imaging, Magnetoacoustic effects, Magnetometers, Sensors, Synthetic aperture sonar. [bibtex-entry]



2. E. Candes, N. Braun, and M. Wakin. SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES. In Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on, pages 976-979, april 2007. Keyword(s): compressive sampling, data acquisition, image recovery, magnetic resonance imaging, medical imaging, model-based framework, random measurements, random noise-like basis, signal reconstruction, sparse signal recovery, biomedical MRI, biomedical measurement, data acquisition, image coding, image reconstruction, image sampling, medical image processing, random noise, sparse matrices;. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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