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Hypercomplex Low Rank Reconstruction for NMR Spectroscopy., , , , , , , , , and . Signal Process., (2023)A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy., , , , , , , , , and 2 other author(s). IEEE Trans. Neural Networks Learn. Syst., 34 (10): 7578-7592 (October 2023)Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy., , , , and . CoRR, (2020)Three-Way Decomposition and Nuclear Magnetic Resonance., and . International Conference on Computational Science, volume 2657 of Lecture Notes in Computer Science, page 15-24. Springer, (2003)Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning., , , , , , and . CoRR, (2019)Causality principle in reconstruction of sparse NMR spectra., , and . CoRR, (2014)Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning., , , , , and . CoRR, (2020)Exponential Signal Reconstruction With Deep Hankel Matrix Factorization., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6214-6226 (September 2023)Evaluation of Discrimination Performance in Case for Multiple Non-Discriminated Samples: Classification of Honeys by Fluorescent Fingerprinting., , , , , , and . Sensors, 20 (18): 5351 (2020)