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Bayesian inference for multidimensional NMR image reconstruction
Ji Won Yoon
*
, Simon J. Godsill
*
Corresponding author for this work
Research output
:
Contribution to journal
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Conference article
›
peer-review
10
Citations (Scopus)
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Dive into the research topics of 'Bayesian inference for multidimensional NMR image reconstruction'. Together they form a unique fingerprint.
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Keyphrases
Nuclear Magnetic Resonance
100%
Nuclear Magnetic Resonance Spectra
100%
Bayesian Inference
100%
Reversible Jump Markov Chain Monte Carlo (RJMCMC)
100%
Magnetic Resonance Image Reconstruction
100%
Three-dimensional (3D)
50%
Statistical Methods
50%
Number of Peaks
50%
Number of Parameters
50%
Number of Projections
50%
Peak Amplitude
50%
Peak Width
50%
Reconstruction Scheme
50%
Discrete Features
50%
HasA
50%
Birth-death
50%
Projection Reconstruction
50%
Mathematics
Magnetic Resonance
100%
Magnetic Resonance Imaging
100%
Bayesian Inference
100%
Markov Chain Monte Carlo
66%
Statistical Method
33%
Generate Sample
33%
Arts and Humanities
Magnetic
100%
Nuclear
100%
Jump
50%
Scheme
25%
Three-Dimensional
25%
Split
25%
Updating
25%
Medicine and Dentistry
Magnetic Resonance Image Reconstruction
100%
Multidimensional Nuclear Magnetic Resonance
100%
Statistical Analysis
33%
NMR Spectroscopy
33%
Computer Science
markov chain monte-carlo
100%
Image Reconstruction
100%
Generate Sample
50%
Engineering
Nuclear Magnetic Resonance
100%
Image Reconstruction
100%
Peak Amplitude
25%