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Variational mode decomposition for NMR echo data denoising
Nuclear magnetic resonance (NMR) relaxometry, a noninvasive and nondestructive method,
is a key technique for unconventional reservoir evaluation. Echo data detected from NMR …
is a key technique for unconventional reservoir evaluation. Echo data detected from NMR …
Machine learning-enabled high-resolution dynamic deuterium MR spectroscopic imaging
Deuterium magnetic resonance spectroscopic imaging (DMRSI) has recently been
recognized as a potentially powerful tool for noninvasive imaging of brain energy …
recognized as a potentially powerful tool for noninvasive imaging of brain energy …
Exponential signal reconstruction with deep Hankel matrix factorization
Exponential function is a basic form of temporal signals, and how to fast acquire this signal is
one of the fundamental problems and frontiers in signal processing. To achieve this goal …
one of the fundamental problems and frontiers in signal processing. To achieve this goal …
A sparse model-inspired deep thresholding network for exponential signal reconstruction—Application in fast biological spectroscopy
The nonuniform sampling (NUS) is a powerful approach to enable fast acquisition but
requires sophisticated reconstruction algorithms. Faithful reconstruction from partially …
requires sophisticated reconstruction algorithms. Faithful reconstruction from partially …
Bioinformatic Analysis of Metabolomic Data: From Raw Spectra to Biological Insight
G Santamaria, FR Pinto - BioChem, 2024 - mdpi.com
Metabolites are at the end of the gene–transcript–protein–metabolism cascade. As such,
metabolomics is the omics approach that offers the most direct correlation with phenotype …
metabolomics is the omics approach that offers the most direct correlation with phenotype …
An automatic denoising method for NMR spectroscopy based on low-rank Hankel model
Nuclear magnetic resonance (NMR) spectroscopy, whose time domain data is modeled as
the sum of damped exponential signals, has become an indispensable tool in various …
the sum of damped exponential signals, has become an indispensable tool in various …
Deep learning can accelerate and quantify simulated localized correlated spectroscopy
Nuclear magnetic resonance spectroscopy (MRS) allows for the determination of atomic
structures and concentrations of different chemicals in a biochemical sample of interest …
structures and concentrations of different chemicals in a biochemical sample of interest …
Mode Measurement of Vortex Electromagnetic Wave with Random Receiving Array Element Defects via Low Rank Matrix Completion
C He, Y Liao, C Ren - IEEE Transactions on Antennas and …, 2024 - ieeexplore.ieee.org
Vortex electromagnetic waves carrying orbital angular momentum have been widely studied
in many fields because of their unique helical phase structure. The vortex electromagnetic …
in many fields because of their unique helical phase structure. The vortex electromagnetic …
A generally regularized inversion for NMR applications and beyond
Nuclear magnetic resonance (NMR) technique presents a powerful analytical tool in the
fields of chemistry, biology, and material science. The performance of the NMR technique …
fields of chemistry, biology, and material science. The performance of the NMR technique …
Magnetic resonance spectroscopy deep learning denoising using few in vivo data
Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool to reveal metabolic
information. One challenge of 1 H-MRS is the low Signal-Noise Ratio (SNR). To improve the …
information. One challenge of 1 H-MRS is the low Signal-Noise Ratio (SNR). To improve the …