Three-Way Decomposition and Nuclear Magnetic Resonance. - Martin Billeter; Vladislav Orekhov (International Conference on Computational Science, 2003)

Causality principle in reconstruction of sparse NMR spectra. - Maxim Mayzel; Krzysztof Kazimierczuk; Vladislav Orekhov (CoRR, 2014)

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning. - Xiaobo Qu 001; Yihui Huang; Hengfa Lu; Tianyu Qiu; Di Guo; Vladislav Orekhov; Zhong Chen 005 (CoRR, 2019)

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. - Dicheng Chen; Zi Wang 005; Di Guo; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. - Zi Wang 005; Di Guo; Yihui Huang; Zhangren Tu; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

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 001; Di Guo (Signal Process., 2023)

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization. - Yihui Huang; Jinkui Zhao; Zi Wang 005; Vladislav Orekhov; Di Guo; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy. - Zi Wang 005; Di Guo; Zhangren Tu; Yihui Huang; Yirong Zhou; Jian Wang; Liubin Feng; Donghai Lin; Yongfu You; Tatiana Agback; Vladislav Orekhov; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Beyond traditional Magnetic Resonance processing with Artificial Intelligence. - Amir Jahangiri; Vladislav Orekhov (CoRR, 2024)

Towards Ultimate NMR Resolution with Deep Learning. - Amir Jahangiri; Tatiana Agback; Ulrika Brath; Vladislav Orekhov (CoRR, 2025)