一、 专著

1. 缑水平，焦李成，刘芳，杨淑媛，焦昶哲，李睿敏，毛莎莎 著。大数据智能挖掘与影像解译（第1版）.西安: 西安电子科技大学出版社，2022年4月。
2. 焦李成，刘芳，缑水平，刘静，陈莉 著． 智能数据挖掘与知识发现．西安： 西安电子科技大学出版社，2006年8月.
3. 焦李成, 周伟达, 薄列峰, 张莉, 缑水平，刘芳，张向荣 著. 智能目标识别与分类. 北京： 科学出版社, 2010年2月.

二、部分期刊论文&会议论文

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.
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.
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,
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
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.
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.
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.
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)
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.
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)
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.
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
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.
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
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
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).
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
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.  
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.
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.
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.
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.
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
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
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.
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
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.
40. S.P. Gou*, J. Zhang, L.C. Jiao, Fast Immune Greedy Spectral Clustering, Information-An International Interdisciplinary, 15(1):375-385, 2012.
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.
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.
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.
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.
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
46. Shuiping Gou*, Guangan Zhuang, Licheng Jiao. Transfer Clustering Based On Dictionary Learning For Images Segmentation. SampTA2011.
47. Gou, S. P*, Yang Jingyu. Spectral Clustering Based on Dictionary Learning Sampling for Image Segmentation. IScIDE , pp.1-4, 2011.
48. Nuo Tong, Shuiping Gou*. Gastric Lymph Nodes Detection Based on Visual Saliency and Dictionary Learning. 2016 International Technical Conference of IEEE Region 10. 
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.

三、授权发明专利

1. 缑水平，刘芳，唐晓等 一种基于双字典学习的4D-MRI超分辨率重构方法，专利号：ZL201410060138.0，授权时间：2017-05-31
2. 缑水平,刘芳,王越越等 基于低秩分解的CT序列图像复原方法. 专利号： ZL201310393616.5，授权时间：2016-1-20
3. 缑水平,马丽敏,周治国,刘芳,张晓鹏,唐磊,王之龙,王云利.基于字典学习的医学图像交互式联合分割.专利号：ZL201210061836.3,授权时间：2015-4-8
4. 缑水平,焦李成,王越越,唐晓,王爽,杨淑媛,侯彪,马文萍,马晶晶.基于自适应窗口选择的视频图像去模糊方法.专利号：ZL201310030285.9,授权时间:2015-4-8
5. 缑水平,焦李成,徐聪,马晶晶,马文萍,刘若辰,公茂果，基于稀疏遗传聚类的图像分割方法.专利号：ZL201310007852.9,授权时间：2015-5-27
6. 缑水平,刘芳,王越越,唐晓,焦李成,王爽,杨淑媛,马文萍,马晶晶.基于稀疏低秩与字典学习的心脏MRI图像去模糊方法.专利号：ZL201310030031.7，授权时间：2015-7-15
7. 缑水平,焦李成,唐晓 等.基于自适应双字典学习的部分K空间序列图像重构方法.专利号：ZL201310163116.2, 授权时间：2015-9-2
8. 缑水平,焦李成,刘淑珍 等.基于非局部字典学习和双正则项的图像超分辨率重建方法.专利号：ZL201310188464.5,授权时间：2015-9-30
9. 缑水平,焦李成,唐晓 等.基于序列相似性插值的部分K空间图像重构方法.专利号：ZL201310161378.5, 授权时间：2015-10-28
10. 缑水平，焦李成，刘淑珍 等。基于字典学习和双边正则的图像超分辨率重建方法.专利号：ZL201310189783.8,授权时间：2015-11-19
11. 缑水平, 王云利, 周治国, 马丽敏, 侯彪, 张晓鹏, 唐磊, 王之龙. 基于最大相似性区域合并的胃部CT图像交互式分割方法.  专利号：ZL2011.11.10  ZL201110353282.X, 授权时间：2014-3-12
12. 缑水平, 马丽敏, 周治国, 刘芳, 张晓鹏, 唐磊, 王之龙, 王云利. 基于交互式字典迁移的序列医学图像快速分割方法. 专利号：ZL 201210332192.7, 授权时间：2014-8-20
13. 缑水平, 王云利, 王之龙, 张晓鹏, 唐磊, 刘芳, 周治国.基于迁移活动轮廓模型的胃部CT序列图像分割方法.专利号：ZL 201210334972.5,授权时间：2014-12-17
14. 缑水平 焦李成 赵一帆 费全花 侯彪 周治国 王云利. 基于字典学习的胃部CT图像感兴趣区域检测系统.专利号：ZL201110346515.3，授权时间：2013-09-25
15. 缑水平 焦李成 费全花 张向荣 李阳阳 赵一帆 杨淑媛 乔鑫. 基于GMM参数迁移聚类的SAR图像分割方法.专利号：ZL201110318739.3，授权时间：2013-06-26
16. 缑水平，焦李成，杨辉，王爽，吴建设，杨淑媛，侯彪，庄雄. 基于字典学习上采样的医学影像处理方法.  专利号：ZL201010278053.1，授权时间：2012-08-08
17. 缑水平，焦李成，姚瑶，吴建设，田小林，慕彩虹，李阳阳，侯彪，冯静. 基于迁移核匹配追踪的医学影像诊断系统及诊断方法.专利号：ZL200910023415.X，授权时间：2011.2.9
18. 缑水平，焦李成，姚瑶，吴建设，田小林，慕彩虹，李阳阳，侯彪，王宇琴. 自适应核匹配追踪辅助诊断系统及其辅助诊断方法.专利号：ZL200910022499.5,授权时间：2011-6-29
19. 缑水平，焦李成，姚瑶，吴建设，田小林，慕彩虹，李阳阳，侯彪，王宇琴. 不平衡医学影像处理系统及其处理方法.专利号：ZL200910022497.6，授权时间：2011-08-24
20. 缑水平，焦李成，杨辉，朱虎明，吴建设，杨淑媛，侯彪，张佳. 基于动态样本选择集成的生物信息识别方法.专利号：ZL201010013627.2，授权时间：2011-08-24
21. 缑水平，焦李成，庄雄，朱虎明，公茂果，刘若辰，李阳阳，张佳. 基于多精英免疫量子聚类的医学影像分割系统及分割方法.专利号：ZL200910218657.4，授权时间：2011-10-19

四、软件著作(第一完成人)

1. 基于网络集成学习的分类识别系统软件V1.0,  2010SR042096
2. 快速图像分割系统软件V1.0,  2011SR101021 
3. 谱聚类集成开发环境软件V1.0,  2011SR093376
4. 基于核匹配追踪的乳腺X影像辅助诊断系统软件V1.0,  2010SR042090
5. 不平衡乳腺X影像分类诊断系统软件V1.0,   2011SR093214
6. 乳腺X线影像中癌变肿块检测软件V1.0,  2012SR062730    
7. 胃部淋巴结检测软件系统V1.0,  2013SR001204
8. 基于器官分割与病变检测的医学图像检索系统V1.0, 2020SR0932377
9. 医学视频智能剪辑系统V1.0,  2020SR0924317

五、所获奖项

1. 2021国际医学图像计算与计算机辅助介入医学影像顶级会议(MICCAI2021)”上指导学生战胜了曼彻斯特大学、上海交大等国内外名高校的参赛队伍，受计算力限制屈居全球第二。获奖的赛道是“快速且低GPU占用的腹部多器官分割。
2. 焦李成，王爽，侯彪，刘芳，钟桦，杨淑媛，缑水平，张向荣，吴家骥，王桂婷，田小林. SAR影像智能信息提取与目标识别，陕西省科学技术奖，一等奖，2012.
3. 焦李成，王爽，侯彪，刘芳，钟桦，缑水平. 高分辨图像智能信息感知与处理关键技术及软件系统，教育部技术发明奖, 二等奖, 2011.
4. 焦李成，张莉，周伟达，杨淑媛，刘芳，薄列峰，潘进，缑水平，马文萍，慕彩红. 核机器  学习及其在复杂目标识别中的应用，西安市科学技术奖，一等奖，2010.
5. 焦李成、侯彪、王爽、刘芳、张向荣、谭山、钟桦、缑水平、杨淑媛、公茂果、李阳阳. 多尺度几何图像理论与应用，陕西高等学校科学技术奖，一等奖，2009.
6. 提出了基于形状表示模型约束的全卷积神经网络的头颈部CT图像分割方法。超越了传统分割算法和基于深度学习的方法。发表在Medical Physics期刊上，被评为Top Four Highlighted papers-Editors’Choice.
7. 在AAPM2019 (The American Association of Physicists in Medicine )举办的RT-Mac 比赛 中，提出的基于注意力机制的卷积神经网络获得了全球第三。
8. 开发的系统插件嵌入进临床全球广泛使用的MIM系统，分割精度超过了市面上多种商用的自动化分割软件，已在美国UCLA放疗中心的临床上进入了试用阶段。
9. 与广东省人民医院的心血管病研究所合作将术前CT图像与术中克服食道超声图像进行了精确配准。
10. 胃部CT图像辅助诊断和N分期预测系统应用于北京肿瘤医院的放射科。
11. 使得低对比度的CT图像和伪影噪声严重的MRI图像的质量得到明显改善。
12. 首次提出了一种基于字典学习的胰腺动态MRI自动分割方法，发表在British Journals of Radiology上。
13. 提出“实时非侵入心冲击描记术（BCG）的深度学习方法，在非侵入重症监护儿童和老年人等领域取得重要应用，成果已在密苏里大学医学中心Tiger Place老年护理院进行长期测试与应用推广，减少了心血管突发疾病的死亡率。