Vladislav Orekhov

According to our database, Vladislav Orekhov authored at least 9 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond traditional Magnetic Resonance processing with Artificial Intelligence.

Amir Jahangiri, Vladislav Orekhov

CoRR, 2024

2023

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.

Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization.

Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy.

Yi Guo, Jiaying Zhan, Zhangren Tu, Yirong Zhou, Jianfan Wu, Qing Hong, Yuqing Huang, Vladislav Orekhov, Xiaobo Qu, Di Guo

Signal Process., 2023

2020

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning.

Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy.

Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020

2019

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning.

Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen

CoRR, 2019

2014

Causality principle in reconstruction of sparse NMR spectra.

Maxim Mayzel, Krzysztof Kazimierczuk, Vladislav Orekhov

CoRR, 2014

2003

Three-Way Decomposition and Nuclear Magnetic Resonance.

Martin Billeter, Vladislav Orekhov

Proceedings of the Computational Science - ICCS 2003, 2003