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               <p class="highlight">[1] Shuiping Gou, Yinan Xu, Hua Yang, Nuo Tong, Xiaopeng Zhang, Lichun Wei, Lina Zhao, Minwen Zheng and Wenbo Liu. Automated cervical tumor segmentation on MR images using multi-view feature attention network. Biomedical Signal Processing and Control, Volume 77, August 2022, 103832. </p>
               <p>[2] Yuanning Bai , Ruimin Li , Shuiping Gou , Chenchen Zhang, Yaohong Chen, and Zhihui Zheng. Cross-Connected Bidirectional Pyramid Network for Infrared Small-Dim Target Detection. IEEE Geoscience and Remote Sensing Letters. 19(7506405): January 2022. </p>
               <p>[3] Jinming Mu, Shuiping Gou, Shasha Mao, Shankui Zheng. A Stepwise Matching Method for Multi-modal Image based on Cascaded Network. ACM Multimedia Conference 2021,</p>
               <p>[4] Qing Han, Yunfei Lu, Jie Han , AnLin Luo, LuGuang Huang , Jin Ding , Kui Zhang Zhaohui Zheng, JunFeng Jiaa, Qiang Liang， Shuiping Gou,* and Ping Zhu*. Automatic quantification and grading of hip bone marrow oedema in ankylosing spondylitis based on deep learning. Modern Rheumatology,2021, DOI: https://doi.org/10.1093/mr/roab073 </p>
               <p>[5] Jun Zhong, Dong Hai, Jiaxin Cheng, Changzhe Jiao , Shuiping Gou, Yongfeng Liu, Hong Zhou and Wenliang Zhu. Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms fromWearable Sensors，Sensors 2021, 21, 7163. https://doi.org/10.3390/s21217163. </p>
               <p>[6] Shuiping Gou, Yunfei Lu, Nuo Tong*, Luguang Huang, Ningtao Liu, Qing Han. Automatic segmentation and grading of ankylosing spondylitis on MR images via lightweight hybrid multi-scale convolutional neural network with reinforcement learning. Physics in Medicine and Biology, 66, 205002, 2021.</p>
               <p>[7] Jichao Li, Shuiping Gou, Ruimin Li*, Member, Jiawei Chen, and Xiaolong Sun. Ship Segmentation via Encoder-Decoder Network with Global Attention in High-Resolution SAR Images. IEEE Geoscience and Remote Sensing Letters. 14(8): , AUGUST 2021. </p>
               <p>[8] Shasha Mao, Jingyuan Yang, Shuiping Gou*, Licheng Jiao, Tao Xiong, Lin Xiong. Multi-scale Fused SAR Image Registration based on Deep Forest’, Remote Sensing, vol.13(11): 2227, 7 June 2021.(SCI: 672CZ, EI: 03187452127)</p>
               <p>[9] Changzhe Jiao , Chao Chen , Shuiping Gou* , Dong Hai ,Bo-Yu Su , Marjorie Skubic , Licheng Jiao ,Alina Zare , and K. C. Ho. Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional LSTM Regression. IEEE Journal of Biomedical and Health Informatics. 2021, 25(9): 3396-3407. <br></p>
               <p>[10] C. Jiao, C. Chen, S.P. Gou*, L.C. Jiao et al., “L1 Sparsity Regularized Attention Multiple Instance Network for Hyperspectral Target Detection,” IEEE Trans. Cybernetics, Accepted, 2021. (中科院一区期刊，IF: 11.5)</p>
               <p>[11] Shasha Mao, Weisi Lin, Licheng Jiao, Shuiping Gou, and Jiawei Chen. "End-to-End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights".IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2931071, 51(5): 2835-2846, Apr 2021.</p>
               <p>[12] Nuo Tong, Shuiping Gou, Shuzhe Chen, Yao Yao, Shuyuan Yang, Minsong Cao, Amar Kishan, and Ke Sheng*. Multi-task Edge-recalibrated Network for Male Pelvic Multi-Organ Segmentation on CT Images. Physics in Medicine and Biology, 10.1088/1361-6560/abcad9, 2021，66(3)，035001</p>
               <p>[13] Xinlin Wang , Shuiping Gou , Jichao Li, Yinghai Zhao, Zhen Liu, Changzhe Jiao, Shasha Mao*. Self-paced feature attention fusion network for concealed object detection in millimeter-wave image. IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2021.3058246,2021. DOI: 10.1155/2021/6679603.</p>
               <p>[14] Huang, LG;Li, MB;Gou, SP;Zhang, XP;Jiang, K. Automated Segmentation Method for Low Field 3D Stomach MRI Using Transferred Learning Image Enhancement Network. BIOMED RESEARCH INTERNATIONA, 2021:1-8</p>
               <p>[15] Yao, Y;Gou, SP;Tian, R;Zhang, XR;He, SX. Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfe Network. BIOMED RESEARCH INTERNATIONA, 2021:1-8, 10.1155/2021/6683931 </p>
               <p>[16] Nuo Tong, Shuiping Gou, Tianye Niu, Shuyuan Yang, Ke Sheng. Self-paced DenseNet with Boundary Constraint for Automated Multi-Organ Segmentation on Abdominal CT Images. Physics in Medicine and Biology, 2020, 65(13).</p>
               <p>[17] Gou, Shuiping; Tong, Nuo; Qi, Sharon; Yang, Shuyuan; Chin, Robert; Sheng, Ke. Self-channel-and-spatial-attention neural network for automated multi-organ segmentation on head and neck CT images. Physics in Medicine and Biology. 2020 </p>
               <p>[18] Lu Y, Li B, Liu N, Jia-Wei Chen*, Li Xiao, Shuiping Gou*, Linlin Chen, Meiping Huang*, and Jian Zhuang. CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network. Computational and Mathematical Methods in Medicine, 2020, 4942121, 8 pages. </p>
               <p>[19] Gou S P, Liu W, Changzhe Jiao, Haofeng Liu, et al. Gradient Regularized Convolutional Neural Networks for Low-dose CT Image Denoising. Physics in Medicine and Biology, 2019. </p>
               <p>[20] Nuo Tong, Shuiping Gou, Shuyuan Yang, Maosen Cao. Shape Constrained Fully Convolutional DenseNet with Adversarial Training for Multi-organ Segmentation on Head and Neck CT and Low Field MR Images. Medical Physics. 46 (1), April 2019, DOI: 10.1002/mp.13553. <br></p>
               <p>[21] Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang. "Maximizing diversity by transformed ensemble learning". Applied Soft Computing, vol.82, 105580, Sep 2019. </p>
               <p>[22] Nuo Tong, Shuiping Gou, Shuyuan Yang, Dan Ruan, and Ke Sheng*. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model con strained fully convolutional neural networks. Medical Physics. 45(10), 2018, DOI: 10.1002/mp.13147. </p>
               <p>[23] Shuiping Gou*, Linlin Chen, Liyu Huang, Meiping Huang, Jian Zhuang. Large-Deformation Image Registration of CT-TEE for Surgical Navigation of Congenital Heart Disease. Computational and Mathematical Methods in Medicine. Vol 2018, pages 11,ID 4687376. doi.org/10.1155/2018/4687376 </p>
               <p>[24] Chen W S, Gou S P*, Wang X L, Li X F, Jiao L C. Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach[J]. Remote Sensing, 2018, 10(1): 110.</p>
               <p>[25] Wenshuai Chen; Shuiping Gou* ; Xinlin Wang ; Licheng Jiao ; Changzhe Jiao, Alina Zare. Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12):4818-4825, 2018. </p>
               <p>[26] Nuo Tong, Shuiping Gou*, Teng Xu, Ke Sheng, Shuyuan Yang. Nonrigid registration of multimodal medical images based on hybrid model. Digital Medicine, Vol 3(4):178-185, 2017. </p>
               <p>[27] Jun Jin, Elizabeth Boehnke-McKenzie, Zhaoyan Fan, Richard Tuli, Ke Sheng, Howard Sandler, Shuiping Gou, and Wensha Yang*. Non-local means denoising of SG-KS-4D-MRI using block matching 3D: Implications for pancreatic tumor registration and segmentation, International Journal of Radiation Oncology, Biology, Physics 2016, 95(3):1058-1066. </p>
               <p>[28] Shuiping Gou, Percy Lee, Peng Hu, Jean-Claude Rwigema, Ke Sheng*. Feasibility of automated 3-dimensional magnetic resonance imaging pancreas segmentation. Advances in Radiation Oncology. (2016) 1, 182-193.</p>
               <p>[29] Shuiping Gou*, Shuzhen Liu, Yaosheng Wu, Licheng Jiao. Image super-resolution based on the pairwisedictionary selected learning and improvedbilateral regularisation. IET Image processing. 10(2): 101-112, 2016.</p>
               <p>[30] Gou S P*, Wang YY,WuJ L, Lee P, Sheng K. Lung dynamic MRI DeblurringUsing Low-rank Decomposition and Dictionary Learning. Medical Physics. 42(4):1917-25. 2015.</p>
               <p>[31] Ke Sheng*, Shuiping Gou, Jiaolong Wu, and Sharon X. Qi.Denoised and texture enhanced MVCT to improve soft tissue conspicuity. Medical Physics. 41(10): 101916, 2015.</p>
               <p>[32] Shuiping Gou, Jiaolong Wu, Fang Liu.StanislasRapacchi, Peng Hu, Ke Sheng*. Feasibility of automated pancreas segmentation based on dynamic MRI. British Journals of Radiology. 87(1044): 20140248, 2014. </p>
               <p>[33] Gou S*, Wang Y, Peng Y, Zhang X, et al. Image Sequences Restoration based on Sparse and Low-rank Decomposition，PLOS ONE, 8(9), pp.1-10, 2013.</p>
               <p>[34] Shuiping Gou*, Xiong Zhuang, Yangyang Li, Cong Xu, L C Jiao, Multi-elitist Immune Clonal Quantum Clustering Algorithm, Neurocomputing, 101(4):275-289, 2013. </p>
               <p>[35] Whenshuai Chen, Shuiping Gou*, Xinlin Wang, Xiaofeng Li and Licheng Jiao, Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach, Remote Sensing, 2018, 10(1): 110. doi:10.3390/rs10010110</p>
               <p>[36] Shuiping Gou*, Shuzhen Liu, Shuyuan Yang, Licheng Jiao. Remote Sensing Image Super-resolution Reconstruction Based on Nonlocal Pairwise Dictionaries and Double Regularization，IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，7(12): 4784-4792，2014 </p>
               <p> [37] S. P. Gou*, Xin. Qiao, X.R. Zhang, W. F. Wang, F.F. Du, An Eigenvalue Analysis Based Approach for POL-SAR Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 52( 2), pp.805-818, 2014. </p>
               <p>38] S. P. Gou*, X. Zhuang, H. M. Zhu, T.T. Yu, Parallel Sparse Spectral Clustering for SARImage Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4):1949-1963, 2013 </p>
               <p>39] S. Gou*, X. Zhuang, L. Jiao, Quantum Immune Fast Spectral Clustering for SAR Image Segmentation, IEEE Geoscience and Remote Sensing Letters, 9(1):8-12, 2012.</p>
               <p>[40] S.P. Gou*, J. Zhang, L.C. Jiao, Fast Immune Greedy Spectral Clustering, Information-An International Interdisciplinary, 15(1):375-385, 2012. </p>
               <p>[41] Gou Shuiping*, Feng Jing, Jiao Licheng, Clustering via Dimensional Reduction Method for the Projection Pursuit Based on the ICSA, Journal of electronics, l27(4):474-479, 2011. </p>
               <p>[42] S Gou*, S Rapacchi , P Hu , K Sheng , Automated Pancreas Segmentation Based On Dynamic MRI, 56th AAPM Annual metting, July 20-24,2014, Austin, TX, USA. </p>
               <p>[43] K Sheng*, S Gou , P Kupelian, M Steiberg, D Low, Detecting Tumors with Extremely Low Contrast in CT Image, 56th AAPM Annual metting, July 20-24,2014, Austin, TX, USA. </p>
               <p>[44] J.JIN, E Mckenzie, S Gou*, G. Yang, Non-Local means denoising of SG-KS-4D MRI Improves the accuracy of deformable registration and pancreas tumor segmentation. 2015 International Symposium on AAPM. </p>
               <p>[45] N. Shuai, S.Gou*, K, Sheng and T.XU. Pancreas MRI segmentation based on low rank decomposition enhance. The 15th Asia-Oceania Congress of Medical Physics (AOCMP2015) , Nov. 5-8, 2015 </p>
               <p>[46] Shuiping Gou*, Guangan Zhuang, Licheng Jiao. Transfer Clustering Based On Dictionary Learning For Images Segmentation. SampTA2011. </p>
               <p>[47] Gou, S. P*, Yang Jingyu. Spectral Clustering Based on Dictionary Learning Sampling for Image Segmentation. IScIDE , pp.1-4, 2011. </p>
               <p>[48] Nuo Tong, Shuiping Gou*. Gastric Lymph Nodes Detection Based on Visual Saliency and Dictionary Learning. 2016 International Technical Conference of IEEE Region 10. </p>
               <p>[49] Linlin Chen, Shuiping Gou*, Yao Yao, Jing Bai. Denoising of Low Dose CT Image with Context-Based BM3D. 2016 International Technical Conference of IEEE Region 10</p>          
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