6 citations · 11 across the 6 of their papers we have counts for
6 papers
Sub-sampling of NMR Correlation and Exchange Experiments
Julian B. B. Beckmann, Mick D. Mantle, Andrew J. Sederman +1
Sub-sampling is applied to simulated - NMR signals and its influence on inversion performance is evaluated. For this different levels of sub-sampling were employed ranging…
Deep Learning as a Method for Inversion of NMR Signals
Julian B. B. Beckmann, Mick D. Mantle, Andrew J. Sederman +1
The concept of deep learning is employed for the inversion of NMR signals and it is shown that NMR signal inversion can be considered as an image-to-image regression problem, which…
Generalized Cross-Validation as a Method of Hyperparameter Search for MTGV Regularization
Julian B. B. Beckmann, Amy Sparks, Jordan A. Ward-Williams +3
The concept of generalized cross-validation (GCV) is applied to modified total generalized variation (MTGV) regularization. Current implementations of the MTGV regularization rely…
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification
Andrew Gordon Wilson, Yuting Wu, Daniel J. Holland +4
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of atomic nuclei to discover the structure, reaction state and chemical environment of molecules. We…
MRI Investigations of Particle Motion within a Three-Dimensional Vibro-Fluidized Granular Bed
Mick D. Mantle, Andrew J. Sederman, Lynn F. Gladden +3
The unique ability of magnetic resonance imaging (MRI) to provide spatial and temporal information from optically opaque systems, in three dimensions, make it an ideal tool to stud…
Radial and axial segregation in horizontal rotating cylinders studied by Magnetic Resonance Imaging (MRI)
Thoa T. M. Nguyen, Andrew J. Sederman, Mick D. Mantle +1
The dynamics of granular materials, mostly radial and axial segregation in horizontal rotating cylinders filled with millet and poppy seeds, is studied by Magnetic Resonance Imagin…