Yunyun Yang

Orcid: 0000-0002-0488-7652

According to our database1, Yunyun Yang authored at least 57 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation.
IEEE Trans. Ind. Informatics, April, 2024

CS-IntroVAE: Cauchy-Schwarz Divergence-Based Introspective Variational Autoencoder.
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

Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning.
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

MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation.
Knowl. Based Syst., 2022

Efficient active contour model for medical image segmentation and correction based on edge and region information.
Expert Syst. Appl., 2022

Motif importance measurement based on multi-attribute decision.
J. Complex Networks, 2022

2021
Robust PCL Discovery of Data-Driven Mean-Field Game Systems and Control Problems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Multi-phase level set method for precise segmentation and correction of brain MRI.
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

Ultrasound Pupil Image Segmentation Based on Edge Detection and Detection Operators.
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

Two-way selection on complex weighted networks.
Neural Comput. Appl., 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

New method for simultaneous moderate bias correction and image segmentation.
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

Efficient and robust segmentation and correction model for medical images.
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
Security and Privacy in Smart Cities: Challenges and Opportunities.
IEEE Access, 2018

2017
A novel clustering method for static video summarization.
Multim. Tools Appl., 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
Efficient identification of node importance in social networks.
Inf. Process. Manag., 2016

2015
Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images.
J. Optim. Theory Appl., 2015

Asymptotic expansion of thick distributions.
Asymptot. Anal., 2015

Controllability in Directed Complex Networks: Granular Computing Perspective.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
A fast multiphase image segmentation model for gray images.
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

Unsupervised active contour model for multiphase inhomogeneous image segmentation.
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

Efficient active contour model based on Vese-Chan model and split bregman method.
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

Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

2012
Fast multiphase image segmentation model for images with inhomogeneity.
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
Study of remote bearing fault diagnosis based on BP Neural Network combination.
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


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