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Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015
3 - Multi-Coil Parallel MRI Reconstruction
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 86-119
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Preface
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp xiv-xv
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About the author
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 208-208
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2 - Single Channel Static MR Image Reconstruction
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 49-85
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1 - Mathematical Techniques
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 1-48
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Index
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 207-207
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List of Tables
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp xi-xii
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5 - Applications in Other Areas
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- 26 February 2015, pp 160-193
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4 - Dynamic MRI Reconstruction
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 120-159
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List of Figures
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp vii-x
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Frontmatter
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp i-ii
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Color Plates
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6 - Some Open Problems
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp 194-206
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Acknowledgements
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- Compressed Sensing for Magnetic Resonance Image Reconstruction
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- 26 February 2015, pp xvi-xvi
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Contents
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- 26 February 2015, pp iii-vi
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Blind compressive sensing formulation incorporating metadata for recommender system design
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- APSIPA Transactions on Signal and Information Processing / Volume 4 / 2015
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- 20 July 2015, e2
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- 2015
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