Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

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Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

9 April 2019

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Papers citing "Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning"

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Title
DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals Sen Yan Fabrizio Gabellieri Etienne Goffinet Filippo Castiglione Thomas Launey DiffM MedIm 33 1 0 26 May 2025
PALo: Learning Posture-Aware Locomotion for Quadruped Robots Xiangyu Miao Jun Sun Hang Lai Xinpeng Di Jiahang Cao Yong Yu Weinan Zhang 121 0 0 06 Mar 2025
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction Linyu Fan Che Wang Ming Ye Qizhi Yang Zejun Wu Xinghao Ding Yue Huang Jianfeng Bao S. Cai C. Cai MedIm 94 0 0 05 Mar 2025
Protein Large Language Models: A Comprehensive Survey Yijia Xiao Wanjia Zhao Junkai Zhang Yiqiao Jin Han Zhang ... Xiao Luo Yu Zhang James Zou Yizhou Sun Wei Wang LM&MA AI4CE 145 4 0 21 Feb 2025
DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty Etienne Goffinet Sen Yan Fabrizio Gabellieri Laurence Jennings Lydia Gkoura Filippo Castiglione Ryan Young Idir Malki Ankita Singh Thomas Launey MedIm 74 0 0 06 Feb 2025
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 73 0 0 17 May 2024
Beyond traditional Magnetic Resonance processing with Artificial Intelligence Amir Jahangiri Vladislav Orekhov 45 2 0 13 May 2024
Deep Learning as a Method for Inversion of NMR Signals Julian B. B. Beckmann M. Mantle A. Sederman L. Gladden 32 1 0 22 Nov 2023
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 58 2 0 12 Sep 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction Zehao Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang ... C. Cai Zhongze Chen D. Guo Guang Yang X. Qu AI4CE 118 14 0 25 Jul 2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal Dicheng Chen Meijin Lin Huiting Liu Jiayu Li Yirong Zhou ... Jing Li Jianzhong Lin Xi Chen D. Guo X. Qu 54 4 0 16 Jun 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding Chunyan Xiong Meng Lu Xiaotong Yu JIAN-PENG Cao Zhong Chen D. Guo X. Qu MLT 124 0 0 14 Apr 2023
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 124 1 0 29 Dec 2022
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance Qinqin Yang Zi Wang Kunyuan Guo C. Cai X. Qu PINN OOD MedIm AI4CE 89 60 0 21 Mar 2022
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 65 13 0 26 Jan 2021
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy Zehao Wang D. Guo Zhangren Tu Yihui Huang Yirong Zhou ... Donghai Lin Yongfu You Tatiana Agback V. Orekhov X. Qu 147 35 0 29 Dec 2020
pISTA-SENSE-ResNet for Parallel MRI Reconstruction Tieyuan Lu Xinlin Zhang Yihui Huang Yonggui Yang Gang Guo L. Bao F. Huang D. Guo X. Qu 62 39 0 24 Sep 2019