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Review and Prospect: Deep Learning in Nuclear Magnetic Resonance
  Spectroscopy

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

13 January 2020
Dicheng Chen
Zi Wang
D. Guo
V. Orekhov
X. Qu
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Papers citing "Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy"

3 / 3 papers shown
Title
PALo: Learning Posture-Aware Locomotion for Quadruped Robots
Xiangyu Miao
Jun Sun
Hang Lai
Xinpeng Di
Jiahang Cao
Yong Yu
Weinan Zhang
69
0
0
06 Mar 2025
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 Analysis
Di Guo
Sijin Li
Jun Liu
Zhangren Tu
Tianyu Qiu
...
Donghai Lin
Qing Hong
Meijin Lin
Yanqin Lin
X. Qu
23
2
0
12 Sep 2023
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 Spectroscopy
Z. Wang
D. Guo
Zhangren Tu
Yihui Huang
Yirong Zhou
...
Donghai Lin
Yongfu You
Tatiana Agback
V. Orekhov
X. Qu
29
34
0
29 Dec 2020
1