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论文成果
- 1Deep learning for determining pure isotropic proton spectra from solid-state spectra.Magnetic Resonance Letters, 4, 2024,
- 2Metabolic disorder and functional disturbance in the central executive network in minimal hepatic encephalopathy.Cerebral cortex (New York, N.Y. : 1991), ,34(2), 2024,
- 3Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance.Spectroscopy, 38(9), 2023,
- 4Deep Learning Methodology for Obtaining Ultraclean Pure Shift Proton Nuclear Magnetic Resonance Spectra.The Journal of Physical Chemistry Letters,
- 5In situ enzymatic hydrolysis characterisation of phospholipid using 1H NMR in a heterogeneous environment.LWT,
- 6Fast acquisition of high-quality nuclear magnetic resonance pure shift spectroscopy via a deep neural network.Journal of Physical Chemistry Letters, 13: 2101-2106, 2022,
- 7Simultaneous acquirement of pure shift 2D homonuclear correlation spectra.Journal of Magnetic Resonance, 339: 107229, 2022,
- 8Evaluation of brown adipose tissue with intermolecular double-quantum coherence magnetic resonance spectroscopy at 3.0 T. NMR in Biomedicine.NMR in biomedicine, 35(6), 2022,
- 9Improvement in signal-to-noise ratio of liquid-state NMR spectroscopy via a deep neural network DN-Unet.Analytical Chemistry, 93(3):1377-1382, 2021,
- 10Unambiguous and accurate measurement of scalar coupling constants through a selective refocusing NMR experiment.Analytica Chimica Acta, 1159:338429, 2021,
