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Review and Prospect: Deep Learning in Nuclear Magnetic Resonance
  Spectroscopy
v1v2 (latest)

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

13 January 2020
Dicheng Chen
Zi Wang
D. Guo
V. Orekhov
X. Qu
ArXiv (abs)PDFHTML

Papers citing "Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy"

13 / 13 papers shown
Analyse comparative dálgorithmes de restauration en architecture dépliée pour des signaux chromatographiques parcimonieux
Analyse comparative dálgorithmes de restauration en architecture dépliée pour des signaux chromatographiques parcimonieux
Mouna Gharbi
Silvia Villa
Émilie Chouzenoux
J. Pesquet
L. Duval
111
0
0
01 Oct 2025
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman SpectroscopyACS Earth and Space Chemistry (ACS Earth Space Chem), 2025
Deniz Soysal
Xabier García-Andrade
Laura E. Rodriguez
Pablo Sobron
Laura M. Barge
Renaud Detry
AAML
115
0
0
30 Sep 2025
Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings
Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings
Jonathan D. Schultz
Kelsey A. Parker
Bashir Sbaiti
David N. Beratan
280
0
0
19 Mar 2025
PALo: Learning Posture-Aware Locomotion for Quadruped Robots
Xiangyu Miao
Jun Sun
Hang Lai
Xinpeng Di
Jiahang Cao
Yong Yu
Weinan Zhang
279
0
0
06 Mar 2025
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
Zihao Zou
Shirin Shoushtari
Jiaming Liu
Jialiang Zhang
Patrick Judge
Emilia Santana
Alison Lim
Marcus Foston
Ulugbek S. Kamilov
165
0
0
17 May 2024
Beyond traditional Magnetic Resonance processing with Artificial
  Intelligence
Beyond traditional Magnetic Resonance processing with Artificial IntelligenceCommunications Chemistry (Commun. Chem.), 2024
Amir Jahangiri
Vladislav Orekhov
142
9
0
13 May 2024
Materials science in the era of large language models: a perspective
Materials science in the era of large language models: a perspectiveDigital Discovery (DD), 2024
Ge Lei
Ronan Docherty
Samuel J. Cooper
269
48
0
11 Mar 2024
GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of
  carbohydrates with graph neural networks
GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks
Zizhang Chen
R. P. Badman
Lachele Foley
Robert Woods
Pengyu Hong
229
1
0
28 Nov 2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR
  Spectroscopy Processing, Reconstruction and Analysis
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and AnalysisIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Di Guo
Sijin Li
Jun Liu
Zhangren Tu
Tianyu Qiu
...
Donghai Lin
Qing Hong
Meijin Lin
Yanqin Lin
X. Qu
172
2
0
12 Sep 2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations
  of Imperfection Factors and Macromolecular Signal
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular SignalIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Dicheng Chen
Meijin Lin
Huiting Liu
Jiayu Li
Yirong Zhou
...
Jing Li
Jianzhong Lin
Xi Chen
D. Guo
X. Qu
203
7
0
16 Jun 2023
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix
  Factorization
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
JIAN-PENG Cao
Chao Qian
Yihui Huang
Dicheng Chen
Yuncheng Gao
Jiyang Dong
D. Guo
X. Qu
381
1
0
29 Dec 2022
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In
  Vivo Data
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data
Dicheng Chen
Wanqi Hu
Huiting Liu
Yirong Zhou
Tianyu Qiu
...
Xi Chen
Gen Yan
D. Guo
Jianzhong Lin
X. Qu
366
1
0
26 Jan 2021
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal
  Reconstruction -- Application in Fast Biological Spectroscopy
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological SpectroscopyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zehao Wang
D. Guo
Zhangren Tu
Yihui Huang
Yirong Zhou
...
Donghai Lin
Yongfu You
Tatiana Agback
V. Orekhov
X. Qu
745
41
0
29 Dec 2020
1
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