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[1] Di Guo, Gushan Zeng, Hao Fu, Zi Wang, Yonggui Yang, Xiaobo Qu, A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction, Journal of Magnetic Resonance, Volume 346, 107354, 2023. (SCI, JCR 3, IF 2.51)
[2] Yi Guo, Jiaying Zhan, Zhangren Tu, Yirong Zhou, Jianfan Wu, Qing Hong, Vladislav Orekhov, Xiaobo Qu, Di Guo∗, Hypercomplex Low Rank Reconstruction for NMR Spectroscopy, Signal Processing, 203: 108809, 2023. (SCI, JCR 2, IF 4.62)
[3] Jianfan Wu, Runmin Xu, Yihui Huang, Jiaying Zhan, Zhangren Tu, Xiaobo Qu, Di Guo, Fast NMR Spectroscopy Reconstruction with a Sliding Window based Hankel Matrix, Journal of Magnetic Resonance, 342: 107283, 2022. (SCI, JCR 3, IF 2.51)
[4] Di Guo, Jiaying Zhan, Yirong Zhou, Zhangren Tu, Zifei Zhang, Zhong Chen, Xiaobo Qu*, Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy, IET Signal Processing, 15: 88-97, 2021. (SCI, JCR 4, IF 1.43)
[5] Zhangren Tu (研究生), Zi Wang, Jiaying Zhan, Yihui Huang, Xiaofeng Du, Min Xiao, Xiaobo Qu, Di Guo*，A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy，IET Signal Processing, 15: 14-27, 2021. (SCI, JCR 4, IF 1.43)
[6] 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 Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3144580, 2022. (SCI, JCR 1, IF 10.45)
[7] Gushan Zeng (研究生), Yi Guo, Jiaying Zhan, Zi Wang, Zongying Lai, Xiaofeng Du, Xiaobo Qu, Di Guo*, A review on deep learning MRI reconstruction without fully sampled k-space, BMC Medical Imaging, 21(195)， DOI: 10.1186/s12880-021-00727-9, 2021. (SCI, JCR 4, IF 1.93)
[8] Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Qin Xu, Xiaobo Qu*, A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI, Medical Image Analysis, 69：101987, 2021. (SCI, JCR 1, IF 11.15)
[9] Tianyu Qiu, Wenjing Liao, Yihui Huang, Jinyu Wu, Di Guo, Dongbao Liu, Xin Wang, Jian-Feng Cai, Bingwen Hu, Xiaobo Qu*, An automatic denoising method for NMR spectroscopy based on low-rank Hankel model, IEEE Transactions on Instrumentation & Measurement, vol. 70, pp. 1-12, 2021. (SCI, JCR 2, IF 4.02)
[10] Yihui Huang#, Jinkui Zhao#, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu*, Exponential signal reconstruction with deep Hankel matrix factorization, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3134717, 2021. (SCI, JCR 1, IF 10.45)
[11] Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu*, XCloud-pFISTA: A medical intelligence cloud for accelerated MRI, The 43th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’21, pp. 3289-3292, Oct 31 - Nov 4, 2021, Virtual Conference, 2021. (EI)
[12] Xinlin Zhang, Zi Wang, Xi Peng, Qin Xu, Di Guo, Xiaobo Qu*, Accelerated image reconstruction with separable Hankel regularization in parallel MRI, The 43th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’21, pp. 3403-3406, Oct 31 - Nov 4, 2021, Virtual Conference, 2021. (EI)
[13] 詹嘉莹(研究生), 涂章仁, 杜晓凤, 袁斌, 郭迪*, 屈小波, 基于低秩矩阵的非均匀采样NMR波谱重建进展, 波谱学杂志, 37（3）：255-272, 2020年.[特邀综述, 封面文章，核心期刊]
[14] Zhangren Tu (研究生), Huiting Liu, Jiaying Zhan, Di Guo*, A fast self-learning subspace reconstruction method for non-uniformly sampled nuclear magnetic resonance spectroscopy, Applied Sciences, 10(11): 3939, 2020. (SCI, JCR 3, IF 1.86)
[15] Xinlin Zhang, Di Guo, Yiman Huang, Ying Chen, Liansheng Wang, Feng Huang, Qin Xu, Xiaobo Qu*, Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI, Medical Image Analysis, 63:101687, 2020. (SCI, JCR 1, IF 11.15)
[16] Dicheng Chen#, Zi Wang#, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Review and Prospect: Deep learning in nuclear magnetic resonance spectroscopy, Chemistry - A European Journal, 26(46): 10391-10401, 2020. (# denotes co-first authorship) (SCI, JCR 2, TOP Journal, IF 5.16) [Invited Review, Frontispiece]
[17] Tianyu Qiu, Zi Wang, Huiting Liu, Di Guo, Xiaobo Qu*, Review and prospect: NMR spectroscopy denoising & reconstruction with low rank Hankel matrices and tensors, Magnetic Resonance in Chemistry, 59(3): 324-345, 2021. (SCI, JCR 3, IF 2.03) [Invited Review]
[18] Di Guo*, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du, Xiaobo Qu. Salt and pepper noise removal with multi-Class dictionary learning and L0 norm regularizations, Algorithms, 12(1): 7, 10.3390/a12010007, 2019. (EI)
[19] Xiaobo Qu*, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov, Zhong Chen*, Accelerated nuclear magnetic resonance spectroscopy with deep learning, Angewandte Chemie-International Edition, 59(26):10297-10300, 2020. (SCI, JCR 1, IF 15.34)
[20] Di Guo, Xiaobo Qu*. Improved reconstruction of low intensity magnetic resonance spectroscopy with weighted low rank Hankel matrix completion, IEEE Access, 6: 4933-4940, 2018. (SCI, JCR 2, IF 3.56)
[21] Xiaobo Qu*, Tianyu Qiu, Di Guo, Hengfa Lu, Jiaxi Ying, Ming Shen, Bingwen Hu, Vladislav Orekhov, Zhong Chen, High-fidelity spectroscopy reconstruction in accelerated NMR, Chemical Communications, 54(78): 10958-10961, 2018. (SCI, JCR 1, IF 6.29)
[22] Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu*, Vandermonde factorization of Hankel matrix for complex exponential signal recovery-application in fast NMR spectroscopy, IEEE Transactions on Signal Processing, 66(21):5520-5533, 2018. (SCI, JCR 2, TOP Journal, IF 4.30)
[23] Xiaofeng Du, Xiaobo Qu, Yifan He, Di Guo*.Single image superresolution based on multi-scale competitive convolutional neural network, Sensors, 18(3): 789, 2018. (SCI, JCR 3, IF 2.68)
[24] Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu*, Low rank enhanced matrix recovery of hybrid time and frequency data in fast magnetic resonance spectroscopy, IEEE Transactions on Biomedical Engineering, 65(4): 809-820, 2018. (SCI, JCR 2, IF 3.58)
[25] Weiming Lin, Tong Tong, Qinquan Gao, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Min Xiao, Min Du*, Xiaobo Qu*, and the Alzheimer’s Disease Neuroimaging Initiative, Convolutional neural networks-based MRI image analysis for the Alzheimer’s disease prediction from Mild cognitive impairment, Frontiers in Neuroscience, 12:777, 2018. (SCI, JCR 2, IF 3.88) [ESI高被引论文, 3%]
[26] Zongying Lai, Xinlin Zhang, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Zhong Chen, Xiaobo Qu*, Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform, BMC Medical Imaging, 18(1):7, 2018. (SCI, JCR 4, IF 1.66)
[27] Di Guo, Hengfa Lu, Xiaobo Qu*, A fast low rank Hankel matrix factorization reconstruction method for non-uniformly sampled magnetic resonance spectroscopy, IEEE Access, 5: 16033-16039, 2017. (SCI, JCR 2, IF 3.56)
[28] Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu*. Hankel matrix nuclear norm regularized tensor completion for N-dimensional exponential signals, IEEE Transactions on Signal Processing, 65(14): 3702-3717, 2017. (SCI, JCR 2, TOP Journal, IF 4.30)
[29] Zongying Lai, Xiaobo Qu*, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan, Zhong Chen*. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform, Medical Image Analysis, 27: 93-104, 2016. (SCI&EI, JCR 1, 3-Year IF 4.09) [ESI高被引论文, 3%]
[30] Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Di Guo, Zhong Chen, Xiaobo Qu*. Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging, IEEE Transactions on Medical Imaging, 35(9): 2130-2140, 2016. (SCI, JCR 2, IF 3.85) [ESI高被引论文, 3%]
[31] Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu*. Fast multi-class dictionaries learning with geometrical directions in MRI reconstruction, IEEE Transactions on Biomedical Engineering, 63(9):1850-1861, 2016. (SCI, JCR 2, IF 2.35) [ESI高被引论文, 3%]
[32] Di Guo, Jingwen Yan, Xiaobo Qu*. High quality multi-focus image fusion using self-similarity and depth information, Optics Communications, 338: 138-144, 2015. (SCI, JCR 3, IF 1.54)
[33] Yunsong Liu, Jian-feng Cai, Zhifang Zhan, Di Guo, Jing Ye, Zhong Chen, Xiaobo Qu*. Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging, PLoS ONE, 10(4): e0119584, 2015. (SCI, JCR 2, IF 3.53) [ESI高被引论文, 1%]
[34] Di Guo, Xiaobo Qu, Meng Wu, Keshou Wu. A modified iterative alternating direction minimization algorithm for impulse noise removal in images, Journal of Applied Mathematics, Vol. 2014, Article ID 595782, 2014. (SCI, JCR 3, IF 0.83)
[35] Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, and Xuhui Chen. Salt and Pepper noise removal with noise detection and a patch-based sparse representation, Advances in Multimedia, vol. 2014, Article ID 682747, 2014. (EI)
[36] Di Guo, Zicheng Liu, Xiaobo Qu, Lianfen Huang*, Yan Yao, Ming-Ting Sun. Sparsity-based online missing data recovery using overcomplete dictionary, IEEE Sensors Journal, 12(7): 2485-2495, 2012. (SCI, JCR 3, IF 1.47)
[37] Di Guo, Xiaobo Qu, Lianfen Huang*, Yan Yao. “Optimized local superposition in wireless sensor networks with t-average-mutual-coherence,” Progress in Electromagnetics Research, 122: 389-411, 2012. (SCI, JCR 2, IF 3.76)
[38] Di Guo, Xiaobo Qu, Lianfen Huang, Yan Yao, Zicheng Liu, Ming-Ting Sun. “Sparsity-based online missing sensor data recovery,” 2012 IEEE Int. Symp. Circuits and Systems-ISCAS 2012, May 20-23, Seoul, Korea, pp. 918-921. (EI) [Oral presentation, win student grant KRW550,000]
[39] Di Guo, Xiaobo Qu, Lianfen Huang, Yan Yao. “Sparsity-based spatial interpolation in wireless sensor networks, Sensors,” 11(3): 2385-2407, 2011. (SCI, JCR 2, IF 1.77)
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