Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation. - Yunyun Yang; Chunming Li; Chiu-Yen Kao; Stanley J. Osher (ISVC (2), 2010)

Study of remote bearing fault diagnosis based on BP Neural Network combination. - Yunyun Yang; Wei Tang (ICNC, 2011)

Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method. - Yunyun Yang; Boying Wu (J. Appl. Math., 2012)

Fast multiphase image segmentation model for images with inhomogeneity. - Yunyun Yang; Boying Wu (J. Electronic Imaging, 2012)

Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method. - Yunyun Yang; Yi Zhao; Boying Wu (ICIG, 2013)

Split Bregman method for minimization of modified Vese-Chan model for fast image segmentation. - Yunyun Yang; Yi Zhao; Boying Wu; Hongpeng Wang (ISPA, 2013)

Efficient active contour model based on Vese-Chan model and split bregman method. - Yunyun Yang; Yi Zhao (VCIP, 2013)

Efficient Active Contour Model for Multiphase Segmentation with Application to Brain MR Images. - Yunyun Yang; Yi Zhao; Boying Wu (Int. J. Pattern Recognit. Artif. Intell., 2013)

Improved segmentation model combining region and edge information for inhomogeneous images. - Yunyun Yang; Yi Zhao; Boying Wu (CISS, 2014)

Unsupervised active contour model for multiphase inhomogeneous image segmentation. - Yunyun Yang; Yi Zhao; Boying Wu; Hongpeng Wang (CISS, 2014)

A note on convex image segmentation model based on local and global intensity fitting energy. - Yunyun Yang; Yi Zhao; Boying Wu; Hongpeng Wang (SSIAI, 2014)

A fast multiphase image segmentation model for gray images. - Yunyun Yang; Yi Zhao; Boying Wu; Hongpeng Wang (Comput. Math. Appl., 2014)

Controllability in Directed Complex Networks: Granular Computing Perspective. - Yunyun Yang; Gang Xie 001; Zehua Chen (RSFDGrC, 2015)

Asymptotic expansion of thick distributions. - Yunyun Yang; Ricardo Estrada (Asymptot. Anal., 2015)

Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images. - Yunyun Yang; Yi Zhao; Boying Wu (J. Optim. Theory Appl., 2015)

Efficient identification of node importance in social networks. - Yunyun Yang; Gang Xie 001 (Inf. Process. Manag., 2016)

Active contour model combining local and global information dynamically with application to segment brain MR images. - Yunyun Yang; Xiu Shu; Sheng-hua Zhong (ICBEA, 2017)

A novel clustering method for static video summarization. - Jiaxin Wu 001; Sheng-hua Zhong; Jianmin Jiang; Yunyun Yang (Multim. Tools Appl., 2017)

Security and Privacy in Smart Cities: Challenges and Opportunities. - Lei Cui 006; Gang Xie 001; Youyang Qu; Longxiang Gao; Yunyun Yang (IEEE Access, 2018)

Improved active contour model for multi-phase MR image segmentation and bias field correction. - Yunyun Yang; Wenjing Jia; Dongcai Tian (ICCSP, 2019)

An Automatic Image Segmentation Model Integrating Fuzzy Clustering with Level Set Method. - Yunyun Yang; Chong Feng 002; Ruofan Wang (ISICDM, 2019)

Accurate and Robust Active Contour Model for Medical Image Segmentation and Correction. - Yunyun Yang; Yunna Yang (ISICDM, 2019)

Clutch control of a hybrid electrical vehicle based on neuron-adaptive PID algorithm. - Bin Huang; Sen Wu 007; Song Huang; Xiang Fu; Yunyun Yang (Clust. Comput., 2019)

Efficient and robust segmentation and correction model for medical images. - Yunyun Yang; Wenjing Jia (IET Image Process., 2019)

Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method. - Yunyun Yang; Xuxu Qin; Boying Wu (IET Image Process., 2019)

New method for simultaneous moderate bias correction and image segmentation. - Yunyun Yang; Ruofan Wang; Chong Feng 002 (IET Image Process., 2019)

Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images. - Yunyun Yang; Wenjing Jia; Xiu Shu; Boying Wu (J. Optim. Theory Appl., 2019)

Two-way selection on complex weighted networks. - Yunyun Yang; Gang Xie 001 (Neural Comput. Appl., 2019)

Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images. - Yunyun Yang; Wenjing Jia; Yunna Yang (Pattern Recognit., 2019)

Improved level set model based on bias information with application to color image segmentation and correction. - Yunyun Yang; Wenjing Jia (Signal Image Video Process., 2019)

Ultrasound Pupil Image Segmentation Based on Edge Detection and Detection Operators. - Yunyun Yang; Chong Feng 002; Ruofan Wang (ICMLC, 2020)

Automatic segmentation model combining U-Net and level set method for medical images. - Yunyun Yang; Chong Feng 002; Ruofan Wang (Expert Syst. Appl., 2020)

Level set formulation for automatic medical image segmentation based on fuzzy clustering. - Yunyun Yang; Ruofan Wang; Chong Feng 002 (Signal Process. Image Commun., 2020)

Simultaneous segmentation and correction model for color medical and natural images with intensity inhomogeneity. - Yunyun Yang; Wenjing Jia; Boying Wu (Vis. Comput., 2020)

Adaptive segmentation model for liver CT images based on neural network and level set method. - Xiu Shu; Yunyun Yang; Boying Wu (Neurocomputing, 2021)

Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method. - Yunyun Yang; Ruicheng Xie; Wenjing Jia; Zhaoyang Chen; Yunna Yang; Lipeng Xie; Benxiang Jiang (Neurocomputing, 2021)

Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity. - Lin Li 042; Feng Zhu; Hui Sun; Yiyi Hu; Yunyun Yang; Dawei Jin (Inf. Fusion, 2021)

Accurate and efficient image segmentation and bias correction model based on entropy function and level sets. - Yunyun Yang; Xiaoyan Hou; Huilin Ren (Inf. Sci., 2021)

Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets. - Chun Li; Yunyun Yang; Hui Liang; Boying Wu (Knowl. Based Syst., 2021)

Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images. - Yunyun Yang; Ruicheng Xie; Wenjing Jia; Gang Zhao (Knowl. Based Syst., 2021)

Active contour model based on local intensity fitting and atlas correcting information for medical image segmentation. - Yunyun Yang; Ruofan Wang; Huilin Ren (Multim. Tools Appl., 2021)

Level set framework with transcendental constraint for robust and fast image segmentation. - Yunyun Yang; Ruofan Wang; Xiu Shu; Chong Feng 002; Ruicheng Xie; Wenjing Jia; Chunming Li (Pattern Recognit., 2021)

A neighbor level set framework minimized with the split Bregman method for medical image segmentation. - Xiu Shu; Yunyun Yang; Boying Wu (Signal Process., 2021)

Multi-phase level set method for precise segmentation and correction of brain MRI. - Yunyun Yang; Yunna Yang; Sheng-Hua Zhong (Signal Image Video Process., 2021)

Robust PCL Discovery of Data-Driven Mean-Field Game Systems and Control Problems. - Chun Li; Yunyun Yang; Hui Liang; Boying Wu (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Motif importance measurement based on multi-attribute decision. - Biao Feng; Yunyun Yang; Liao Zhang; Shuhong Xue; Xinlin Xie; Jiianrong Wang; Gang Xie 001 (J. Complex Networks, 2022)

Efficient active contour model for medical image segmentation and correction based on edge and region information. - Yunyun Yang; Xiaoyan Hou; Huilin Ren (Expert Syst. Appl., 2022)

MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation. - Yunyun Yang; Tingyu Yan; Xin Jiang; Ruicheng Xie; Chun Li; Tao Zhou (Knowl. Based Syst., 2022)

Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image segmentation and correction. - Yunyun Yang; Huilin Ren; Xiaoyan Hou (Signal Process. Image Commun., 2022)

Risk-Based Maintenance Optimization for a Subsea Production System with Epistemic Uncertainty. - Ying Liu 025; Liuying Ma; Luyang Sun; Xiao Zhang; Yunyun Yang; Qing Zhao; Zhigang Qu (Symmetry, 2022)

Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning. - Chun Li; Yunyun Yang; Hui Liang; Boying Wu (IEEE/ACM Trans. Netw., 2022)

Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things. - Jianrong Wang; Pan Zhang; Wei Bai; Guoyuan Yang; Yunyun Yang (Int. J. Distributed Sens. Networks, 2022)

WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels. - Ruicheng Xie; Yunyun Yang; Zhaoyang Chen (Pattern Recognit., 2023)

ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation. - Xiu Shu; Yunyun Yang; Jun Liu 036; Xiaojun Chang; Boying Wu (Pattern Recognit., 2023)

HDNeXt: Hybrid Dynamic MedNeXt with Level Set Regularization for Medical Image Segmentation. - Haoyu Cao 002; Tianyi Han; Yunyun Yang (ACCV (7), 2024)

SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. - Lin Zhang; Wenbo Gao; Jie Yi; Yunyun Yang (BIBM, 2024)

AS2LS: Adaptive Anatomical Structure-Based Two-Layer Level Set Framework for Medical Image Segmentation. - Tianyi Han; Haoyu Cao 002; Yunyun Yang (IEEE Trans. Image Process., 2024)

CS-IntroVAE: Cauchy-Schwarz Divergence-Based Introspective Variational Autoencoder. - Zilong Yu; Yunyun Yang; Yongbin Zhu; Bixue Guo; Chun Li (IEEE Trans. Multim., 2024)

BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation. - Xiu Shu; Yunyun Yang; Jun Liu 036; Xiaojun Chang; Boying Wu (IEEE Trans. Ind. Informatics, 2024)

Multi-modality medical image segmentation via adversarial learning with CV energy functional. - Bixue Guo; Yunyun Yang; Zilong Yu; Yongbin Zhu (Expert Syst. Appl., 2025)

AI assistance enhances histopathologic distinction between sebaceous and squamous cell carcinoma of the eyelid. - Jialu Geng; Kai Zhang; Li Dong; Shiqi Hui; Qian Zhang; Zhixi Li; Ruiheng Zhang; Xue Jiang; Mingyang Wang; Shuantao Sun; Hong Zhang; Yunyun Yang; et al. (npj Digit. Medicine, 2025)

Active contour model combining frequency domain information for noisy vessel image segmentation. - Xin Jiang; Chong Feng; Tianyi Han; Boying Wu; Yunyun Yang (Pattern Recognit., 2026)