学术成果
一、 专著
- 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。
- 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.
- 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
- 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.
- 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.
- Jinming Mu, Shuiping Gou, Shasha Mao, Shankui Zheng. A Stepwise Matching Method for Multi-modal Image based on Cascaded Network. ACM Multimedia Conference 2021,
- 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
- 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.
- 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.
- 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.
- 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)
- 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.
- 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)
- 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.
- 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
- 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.
- 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
- 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
- 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).
- 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
- 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.
- 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.
- 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.
- Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang. "Maximizing diversity by transformed ensemble learning". Applied Soft Computing, vol.82, 105580, Sep 2019.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Shuiping Gou*, Xiong Zhuang, Yangyang Li, Cong Xu, L C Jiao, Multi-elitist Immune Clonal Quantum Clustering Algorithm, Neurocomputing, 101(4):275-289, 2013.
- 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
- 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
- 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.
- 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
- 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.
- S.P. Gou*, J. Zhang, L.C. Jiao, Fast Immune Greedy Spectral Clustering, Information-An International Interdisciplinary, 15(1):375-385, 2012.
- 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.
- 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.
- 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.
- 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.
- 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
- Shuiping Gou*, Guangan Zhuang, Licheng Jiao. Transfer Clustering Based On Dictionary Learning For Images Segmentation. SampTA2011.
- Gou, S. P*, Yang Jingyu. Spectral Clustering Based on Dictionary Learning Sampling for Image Segmentation. IScIDE , pp.1-4, 2011.
- Nuo Tong, Shuiping Gou*. Gastric Lymph Nodes Detection Based on Visual Saliency and Dictionary Learning. 2016 International Technical Conference of IEEE Region 10.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 基于网络集成学习的分类识别系统软件V1.0, 2010SR042096
- 快速图像分割系统软件V1.0, 2011SR101021
- 谱聚类集成开发环境软件V1.0, 2011SR093376
- 基于核匹配追踪的乳腺X影像辅助诊断系统软件V1.0, 2010SR042090
- 不平衡乳腺X影像分类诊断系统软件V1.0, 2011SR093214
- 乳腺X线影像中癌变肿块检测软件V1.0, 2012SR062730
- 胃部淋巴结检测软件系统V1.0, 2013SR001204
- 基于器官分割与病变检测的医学图像检索系统V1.0, 2020SR0932377
- 医学视频智能剪辑系统V1.0, 2020SR0924317
五、所获奖项
- 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。
- 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.
- 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.
- 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.
- 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.
- 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.
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。