Yunyun Yang
Orcid: 0000-0002-0488-7652
According to our database1,
Yunyun Yang
authored at least 57 papers
between 2010 and 2024.
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Bibliography
2024
BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Multim., 2024
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation.
CoRR, 2024
2023
ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation.
Pattern Recognit., April, 2023
WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels.
Pattern Recognit., 2023
2022
Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things.
Int. J. Distributed Sens. Networks, November, 2022
IEEE/ACM Trans. Netw., 2022
Risk-Based Maintenance Optimization for a Subsea Production System with Epistemic Uncertainty.
Symmetry, 2022
Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image segmentation and correction.
Signal Process. Image Commun., 2022
Knowl. Based Syst., 2022
Efficient active contour model for medical image segmentation and correction based on edge and region information.
Expert Syst. Appl., 2022
J. Complex Networks, 2022
2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Signal Image Video Process., 2021
A neighbor level set framework minimized with the split Bregman method for medical image segmentation.
Signal Process., 2021
Level set framework with transcendental constraint for robust and fast image segmentation.
Pattern Recognit., 2021
Active contour model based on local intensity fitting and atlas correcting information for medical image segmentation.
Multim. Tools Appl., 2021
Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images.
Knowl. Based Syst., 2021
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets.
Knowl. Based Syst., 2021
Accurate and efficient image segmentation and bias correction model based on entropy function and level sets.
Inf. Sci., 2021
Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity.
Inf. Fusion, 2021
Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method.
Neurocomputing, 2021
Adaptive segmentation model for liver CT images based on neural network and level set method.
Neurocomputing, 2021
2020
Simultaneous segmentation and correction model for color medical and natural images with intensity inhomogeneity.
Vis. Comput., 2020
Level set formulation for automatic medical image segmentation based on fuzzy clustering.
Signal Process. Image Commun., 2020
Automatic segmentation model combining U-Net and level set method for medical images.
Expert Syst. Appl., 2020
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
2019
Improved level set model based on bias information with application to color image segmentation and correction.
Signal Image Video Process., 2019
Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images.
Pattern Recognit., 2019
Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images.
J. Optim. Theory Appl., 2019
IET Image Process., 2019
Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method.
IET Image Process., 2019
IET Image Process., 2019
Clutch control of a hybrid electrical vehicle based on neuron-adaptive PID algorithm.
Clust. Comput., 2019
Accurate and Robust Active Contour Model for Medical Image Segmentation and Correction.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
An Automatic Image Segmentation Model Integrating Fuzzy Clustering with Level Set Method.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Improved active contour model for multi-phase MR image segmentation and bias field correction.
Proceedings of the 3rd International Conference on Cryptography, Security and Privacy, 2019
2018
IEEE Access, 2018
2017
Active contour model combining local and global information dynamically with application to segment brain MR images.
Proceedings of the 2017 International Conference on Biometrics Engineering and Application, 2017
2016
Inf. Process. Manag., 2016
2015
Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images.
J. Optim. Theory Appl., 2015
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015
2014
Comput. Math. Appl., 2014
A note on convex image segmentation model based on local and global intensity fitting energy.
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Improved segmentation model combining region and edge information for inhomogeneous images.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
2013
Efficient Active Contour Model for Multiphase Segmentation with Application to Brain MR Images.
Int. J. Pattern Recognit. Artif. Intell., 2013
Proceedings of the 2013 Visual Communications and Image Processing, 2013
Split Bregman method for minimization of modified Vese-Chan model for fast image segmentation.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
Proceedings of the Seventh International Conference on Image and Graphics, 2013
2012
J. Electronic Imaging, 2012
Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method.
J. Appl. Math., 2012
2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
2010
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010