Vladislav Orekhov

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 7

Top Topics

Nuclear Magnetic Resonance

Weakly Supervised

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Signal Process.

Publications

Amir Jahangiri, Vladislav Orekhov
Beyond traditional Magnetic Resonance processing with Artificial Intelligence. CoRR (2024)
Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu
A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Yi Guo, Jiaying Zhan, Zhangren Tu, Yirong Zhou, Jianfan Wu, Qing Hong, Yuqing Huang, Vladislav Orekhov, Xiaobo Qu, Di Guo
Hypercomplex Low Rank Reconstruction for NMR Spectroscopy. Signal Process. 203 (2023)
Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu
Exponential Signal Reconstruction With Deep Hankel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. CoRR (2020)
Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu
Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. CoRR (2020)
Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning. CoRR (2019)
Maxim Mayzel, Krzysztof Kazimierczuk, Vladislav Orekhov
Causality principle in reconstruction of sparse NMR spectra. CoRR (2014)
Martin Billeter, Vladislav Orekhov
Three-Way Decomposition and Nuclear Magnetic Resonance. International Conference on Computational Science (2003)