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Zilong Yu, Yunyun Yang*, Yongbin Zhu, Bixue Guo, Chun Li, CS-IntroVAE: Cauchy-Schwarz Divergence-Based Introspective Variational Autoencoder, IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2023.3268870, 1-10, 20 April 2023. (SCI, JCR Q1/中科院1区TOP/ IF: 8.182)
Xiu Shu, Yunyun Yang*, Jun Liu, Xiaojun Chang, Boying Wu, ALVLS: Adaptive Local Variances-Based Level Set Framework for Medical Images Segmentation, Pattern Recognition, Volume 136, 109257, 1-14, April 2023. (SCI, JCR Q1/中科院1区TOP/ IF: 8.518)
Ruicheng Xie, Yunyun Yang*, Zhaoyang Chen, WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels, Pattern Recognition, Volume 133, 108974, 1-13, January 2023. (SCI, JCR Q1/中科院1区TOP/ IF: 8.518)
Yunyun Yang, Tingyu Yan, Xin Jiang, Ruicheng Xie, Chun Li, Tao Zhou, MH-Net: Model-Data-Driven Hybrid-Fusion Network for Medical Image Segmentation, Knowledge-Based Systems, Volume 248, 108795, 1-9, July 2022. (SCI, JCR Q1/中科院1区TOP/ IF: 8.083)
Chun Li, Yunyun Yang*, Hui Liang and Boying Wu, Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning, in IEEE/ACM Transactions on Networking, doi: 10.1109/TNET.2022.3158987, 2022. (SCI, JCR Q1/中科院2区/ IF: 3.56, CCF A)
Yunyun Yang*, Xiaoyan Hou, Huilin Ren, Efficient Active Contour Model for Medical Image Segmentation and Correction Based on Edge and Region Information, Expert Systems with Applications, Volume 194, 15 May 2022, 116436. (SCI, JCR Q1/中科院2区 TOP/ IF: 6.954)
Chun Li, Yunyun Yang*, Hui Liang, Boying Wu, Learning high-order geometric flow based on the level set method, Nonlinear Dynamics, 107: 2429–2445, 2022. (SCI, JCR Q1/中科院2区/ IF: 5.022)
Xiu Shu, Yunyun Yang*, Boying Wu, A neighbor level set framework minimized with the split Bregman method for medical image segmentation, Signal Processing, 189, 108293, 1-16, 14 Aug 2021.(SCI, JCR Q1/中科院1区TOP/ IF: 6.795)
Yunyun Yang*, Xiaoyan Hou, Huilin Ren, Accurate and efficient image segmentation and bias correction model based on entropy function and level sets, Information Sciences, 577, 638-662, 2021. (SCI, JCR Q1/中科院1区TOP/ IF: 6.795)
Yunyun Yang*, Ruicheng Xie,Wenjing Jia, Gang Zhao, Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images, Knowledge-Based Systems, 228, 107266, 1-13, 2021. (SCI, JCR Q1/中科院1区TOP/ IF: 8.083)
Yunyun Yang*, Ruofan Wang, Huilin Ren, Active contour model based on local intensity fitting and atlas correcting information for medical image segmentation, Multimedia Tools and Applications, 80(17), 1-17. 04 May 2021. (SCI, JCR Q3/中科院4区/ IF: 2.757)
Yunyun Yang*, Ruofan Wang, Xiu Shu, Chong Feng, Ruicheng Xie, Wenjing Jia, Chunming Li, Level set framework with transcendental constraint for robust and fast image segmentation, Pattern Recognition, Volume 117, 107985, 2021. (SCI, JCR Q1/中科院1区TOP/ IF: 7.740)
Chun Li,Yunyun Yang*, Hui Liang, Boying Wu, Robust PCL Discovery of Data-driven Mean-field Game Systems and Control Problems. IEEE Transactions on Circuits and Systems--I: Regular Papers.68(6): 2651-2664, 2021. (SCI, JCR Q1/中科院2区/ IF: 3.318)
Chun Li,Yunyun Yang*, Hui Liang, Boying Wu, Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets. Knowledge-Based Systems. Volume 218, 106849, 1-9, 22 April 2021. (SCI, JCR Q1/中科院1区TOP/ IF: 8.083)
Xiu Shu,Yunyun Yang*, Boying Wu, Adaptive segmentation model for liver CT images based on neural network and level set method. Neurocomputing, 453, 438-452, 26 January 2021. (SCI, JCR Q1/中科院2区TOP/ IF: 5.719)
Yunyun Yang*, Ruicheng Xie, Wenjing Jia, Zhaoyang Chen, Yunna Yang, Lipeng Xie, BenXiang Jiang, Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method. Neurocomputing, 419, 108-125. 2021. (SCI, JCR Q1/中科院2区TOP/ IF: 5.719)
Yunyun Yang*, Ruofan Wang, Chong Feng, Level set formulation for automatic medical image segmentation based on fuzzy clustering, Signal Processing: Image Communication, 87, 115907, 1-9, 2020. (SCI, JCR Q2/中科院2区IF: 3.256)
Yunyun Yang*, Chong Feng, Ruofan Wang, Automatic segmentation model combining U-Net and level set method for medical images, Expert Systems with Applications, 153, 113419, 1-9, 2020. (SCI, JCR Q1/中科院2区 TOP/ IF: 6.954)
Yunyun Yang*, Xiu Shu, Ruofan Wang, Chong Feng, Wenjing Jia, Parallelizable and robust image segmentation model based on the shape prior information, Applied Mathematical Modelling, 83, 357-370, 2020. (SCI, JCR Q1/中科院2区 TOP/IF: 5.129)
Yunyun Yang*, Yunna Yang, Multi-phase level set method for precise segmentation and correction of brain MRI, Signal, Image and Video Processing, 15, 53-61,2021. (SCI, JCR Q3 /中科院4区,IF:2.157)
Yunyun Yang*, Wenjing Jia, Efficient and robust segmentation and correction model for medical images, IET Image Processing, 13(12), 2245-2254, 2019. (SCI,JCR Q3/中科院 4区 IF=1.995)
Yunyun Yang*, Sichun Ruan, Xuxu Qin, Dongcai Tian, A Fast Level Set Model of Multi-atlas Labels Fusion for 3D MRI Tissues Segmentation with Application of Split Bregman Method, Mathematical Methods in the Applied Sciences, 42(4), 1059-1072, 2019. (SCI, JCR Q2/中科院3区 IF: 1.626)
Yunyun Yang*, Dongcai Tian, Wenjing Jia, Xiu Shu, Boying Wu, Split Bregman Method Based Level Set Formulations for Segmentation and Correction with Application to MR Images and Color Images, Magnetic Resonance Imaging, 57, 50-67, 2019. (SCI, JCR Q3/中科院3区 IF: 2.053)
Yunyun Yang*, Xuxu Qin, Boying Wu, Fast and Accurate Compressed Sensing Model in Magnetic Resonance Imaging with Median Filter and Split Bregman Method, IET Image Processing, 13(1), 1-8, 2019. (SCI, JCR Q3 /中科院4区 IF: 1.995)
Yunyun Yang*, Wenjing Jia, Yunna Yang, Multi-atlas Segmentation and Correction Model with Level Set Formulation for 3D Brain MR Images, Pattern Recognition, 90, 450-463, 2019. (SCI, JCR Q1/中科1区 TOP/ IF: 7.196)
Yunyun Yang*, Wenjing Jia, Boying Wu, Simultaneous Segmentation and Correction Model for Color Medical and Natural Images with Intensity Inhomogeneity, The Visual Computer, 36(4), 717-731, 2019. (SCI, JCR Q3, /中科院4区 IF: 1.456)
Yunyun Yang*, Wenjing Jia, Improved Level Set Model Based on Bias Information with Application to Color Image Segmentation and Correction, Signal, Image and Video Processing, 13(7), 1329-1337, 2019. (SCI,JCR Q3 /中科院4区 IF: 1.794)
Yunyun Yang*, Ruofan Wang, Chong Feng, New Method for Simultaneous Moderate Bias Correction and Image Segmentation, IET Image Processing, 6, 939-945, 2019. (SCI,JCR Q3/中科院3区 IF: 1.995)
Yunyun Yang*, Sichun Ruan, Boying Wu, Efficient Segmentation and Correction Model for Brain MR Images with Level Set Framework Based on Basis Functions, Magnetic Resonance Imaging, 54：249-264, 2018. (SCI, JCR Q3/中科院3区 IF: 2.874)
Yunyun Yang*, Dongcai Tian, Boying Wu, A Fast and Reliable Noise-resistant Medical Image Segmentation and Bias Field Correction Model, Magnetic Resonance Imaging, 54, 15-31, 2018. (SCI, JCR Q3/中科院3区 IF: 2.874)
Yunyun Yang*, Xuxu Qin, Boying Wu, Median Filter Based Compressed Sensing Model with Application to MR Image Reconstruction, Mathematical Problems in Engineering, Volume 2018, Article ID 8316194. (SCI, JCR Q3/中科院3区 IF: 1.179)
Yunyun Yang*, Wenjing Jia, Xiu Shu, Boying Wu, Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images, Journal of Optimization Theory and Applications, 182(2), 797-815, 2019. (SCI, JCR Q2/中科院2区 IF: 1.6)
Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Yunyun Yang, A Novel Clustering Method for Static Video Summarization, Multimedia Tools and Applications, 76(7), 9625-9641, 2017. (SCI，JCR Q2/中科院4区 IF=1.531)
Yunyun Yang*, Yi Zhao, Boying Wu, Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images, Journal of Optimization Theory and Applications, 166(1), 285-305, 2015. (SCI, JCR Q2/中科院2区 IF=1.423)
Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, A Fast Multiphase Image Segmentation Model for Gray Images, Computers & Mathematics with Applications, 67(8), 1559-1581, 2014. (SCI, JCR Q1/中科院2区 IF=2.069)
Yunyun Yang*, Yi Zhao, Boying Wu, Efficient Active Contour Model for Multiphase Segmentation with Application to Brain MR Images, International Journal of Pattern Recognition and Artificial Intelligence, 27(1), 1355001-1-28, 2013. (SCI, JCR Q3/中科院4区, IF=0.755)
Yunyun Yang*, Boying Wu, Split Bregman Method for Minimization of Improved Active Contour Model Combining Local and Global Information Dynamically, Journal of Mathematical Analysis and Applications, 389(1), 351-366, 2012. (SCI, JCR Q1/中科院2区TOP, IF=1.259)
Yunyun Yang*, BoyingWu, Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method, Journal of Applied Mathematics, Volume 2012, Article ID 692589, 1-16, 2012. (SCI, JCR Q3/中科院4区, IF=0.834)
Yunyun Yang*, BoyingWu, A New and Fast Multiphase Image Segmentation Model for Color Images, Mathematical Problems in Engineering, Volume 2012, Article ID 494761, 1-20, 2012. (SCI, JCR Q2/中科院4区, IF=1.383)
Yunyun Yang*, BoyingWu, Fast Multiphase Image Segmentation Model for Images with Inhomogeneity, Journal of Electronic Imaging,21(1), 013015-1-14, 2012. (SCI, JCR Q3/中科院4区, IF=1.061)
Boying Wu,Yunyun Yang*, Local- and Global-Statistics-Based Active Contour Model for Image Segmentation, Mathematical Problems in Engineering, Volume 2012, Article ID 791958, 1-16, 2012. (SCI, JCR Q2/中科院4区, IF=1.383)
专著
杨云云著，基于分裂Bregman方法的医学图像分割与校正，科学出版社，2020，6万字
吴勃英，郭志昌，杨云云著，图像处理偏微分方程方法，科学出版社，2020，12万字
会议论文及发表演说
Yunyun Yang*, Chong Feng, Ruofan Wang, Ultrasound pupil image segmentation based on edge detection and detection operators, 12th International Conference on Machine Learning and Computing (ICMLC 2020), Shenzhen, China, Jun. 19-21, 2020. (EI)
Yunyun Yang*, Chong Feng, Ruofan Wang, An automatic image segmentation model integrating fuzzy clustering with level set method, The Third International Symposium on Image Computing and Digital Medicine (ISICDM 2019), pp:222-225, Xi'an, China, Aug. 24-26, 2019. (EI)
Yunyun Yang*, Yunna Yang, Accurate and robust active contour model for medical image segmentation and correction, The Third International Symposium on Image Computing and Digital Medicine (ISICDM 2019), pp:123-127, Xi'an, China, Aug. 24-26, 2019. (EI)
Yunyun Yang*, Wenjing Jia, Xiu Shu, Efficient Level Set Formulation for Segmentation and Correction with Application to Medical Images, The 11th International Conference on Digital Image Processing (ICDIP 2019), 11179, UNSP 111793G (2019), Guangzhou, China, May 10-13, 2019. (EI)
Yunyun Yang*, Yunna Yang, Xuxu Qin, An accurate and efficient MR image reconstruction model, The 11th International Conference on Digital Image Processing (ICDIP 2019), 11179, UNSP 111790H (2019), Guangzhou, China, May 10-13, 2019. (EI)
Yunyun Yang*, Wenjing Jia, Dongcai Tian, Improved Active Contour Model for Multi-Phase MR Image Segmentation and Bias Field Correction, 2019 the 4th International Conference on Multimedia and Image Processing (ICMIP 2019), pp: 242-246, January 19-21, 2019, Kuala Lumpur, Malaysia. (EI)
Yunyun Yang*, Sichun Ruan, Xuxu Qin, Dongcai Tian, Boying Wu, A New and Fast Bias Correction and Segmentation Model with Application to Human Brain MR Images, 2018 3rd International Conference on Communication, Image and Signal Processing (CCISP 2018), Journal of Physics: Conference Series, v 1169, n 1, Article Number 012041, 16-18, November, 2018, Sanya, China. (EI)
Yunyun Yang*, Xuxu Qin, Sichun Ruan, Dongcai Tian, A New Compressed Sensing Model Based on Median Filter with Application to Reconstruct Brain MR Images, 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP 2018), pp: 13-15, July 2018, Shenzhen, China. (EI)
Yunyun Yang*, Xiu Shu, Shenghua Zhong, Active Contour Model Combining Local and Global Information Dynamically with Application to Segment Brain MR Images, 2017 International Conference on Biometrics Engineering and Application (ICBEA 2017), pp: 1-4, Hong Kong, Apr. 21-23, 2017. (EI)
Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, A Note on Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy, The IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI 2014), San Diego, California, USA, Apr. 6-8, 2014. (EI)
Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, Unsupervised Active Contour Model for Multiphase Inhomogeneous Image Segmentation, The 48th Annual Conference on Information Sciences and Systems (CISS 2014), pp: 1-5, Princeton, New Jersey, USA, Mar. 19-21, 2014. (EI)
Yunyun Yang*, Yi Zhao, Boying Wu, Improved segmentation model combining region and edge information for inhomogeneous images, The 48th Annual Conference on Information Sciences and Systems (CISS 2014), pp: 1-5, 6814165, Princeton, New Jersey, USA, Mar. 19-21, 2014. (EI)
Yunyun Yang*, Yi Zhao, Efficient Active Contour Model Based on Vese-Chan Model and Split Bregman Method, IEEE International Conference on Visual Communications and Image Processing (VCIP 2013), pp: 1-6, Kuching, Sarawak, Malaysia, Nov. 17-20, 2013. (EI)
Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, Split Bregman method for minimization of modified Vese-Chan model for fast image segmentation, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), pp: 66-71, Trieste, Italy, Sep. 4-6, 2013. (EI)
Yunyun Yang*, Yi Zhao, Boying Wu, Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method, The Seventh International Conference on Image and Graphics (ICIG 2013), pp: 201-204, Qingdao, Shandong, China, Jul. 26-28, 2013. (EI)
Yunyun Yang*, Chunming Li, Chiu-Yen Kao, Stanley Osher, Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation, 6th International Symposium on Visual Computing (ISVC 2010), Volume 6454 LNCS, Part II: 117-128, Las Vegas, Nevada, USA, Nov. 29-Dec. 01, 2010. (EI)
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