39 citations · 74 across the 9 of their papers we have counts for
9 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…
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data
Veronica Corona, Martin Benning, Lynn F. Gladden +3
Velocity-encoded MRI is an imaging technique used in different areas to assess flow motion. Some applications include medical imaging such as cardiovascular blood flow studies, and…
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration
Veronica Corona, Martin Benning, Matthias J. Ehrhardt +6
All imaging modalities such as computed tomography (CT), emission tomography and magnetic resonance imaging (MRI) require a reconstruction approach to produce an image. A common im…
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…