NMR Spectra Denoising with Vandermonde Constraints
Nuclear magnetic resonance (NMR) spectroscopy serves as an important tool to analyze
chemicals and proteins in bioengineering. However, NMR signals are easily contaminated …
chemicals and proteins in bioengineering. However, NMR signals are easily contaminated …
XCloud-pFISTA: A medical intelligence cloud for accelerated MRI
Machine learning and artificial intelligence have shown remarkable performance in
accelerated magnetic resonance imaging (MRI). Cloud computing technologies have great …
accelerated magnetic resonance imaging (MRI). Cloud computing technologies have great …
Jointly estimating bias field and reconstructing uniform MRI image by deep learning
Bias field is one of the main artifacts that degrade the quality of magnetic resonance images.
It introduces intensity inhomogeneity and affects image analysis such as segmentation. In …
It introduces intensity inhomogeneity and affects image analysis such as segmentation. In …
[HTML][HTML] Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance
D Guo, X Chen, M Lu, W He, S Luo, Y Lin, Y Huang… - 2023 - spectroscopyonline.com
Nuclear magnetic resonance (NMR) spectroscopy presents an important analytical tool for
composition analysis, molecular structure elucidation, and dynamic study in the fields of …
composition analysis, molecular structure elucidation, and dynamic study in the fields of …
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis
Nuclear magnetic resonance (NMR) spectroscopy has served as a powerful analytical tool
for studying molecular structure and dynamics in chemistry and biology. However, the …
for studying molecular structure and dynamics in chemistry and biology. However, the …