| A novel clustering method for static video summarization J Wu, S Zhong, J Jiang, Y Yang Multimedia Tools and Applications 76, 9625-9641, 2017 | 121 | 2017 |
| Split Bregman method for minimization of region-scalable fitting energy for image segmentation Y Yang, C Li, CY Kao, S Osher International Symposium on Visual Computing, 117-128, 2010 | 87 | 2010 |
| Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets C Li, Y Yang, H Liang, B Wu Knowledge-Based Systems 218, 106849, 2021 | 85 | 2021 |
| Automatic segmentation model combining U-Net and level set method for medical images Y Yang, C Feng, R Wang Expert Systems with Applications 153, 113419, 2020 | 68 | 2020 |
| Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method Y Yang, R Xie, W Jia, Z Chen, Y Yang, L Xie, BX Jiang Neurocomputing 419, 108-125, 2021 | 62 | 2021 |
| Local‐and Global‐Statistics‐Based Active Contour Model for Image Segmentation B Wu, Y Yang Mathematical Problems in Engineering 2012 (1), 791958, 2012 | 46 | 2012 |
| Adaptive segmentation model for liver CT images based on neural network and level set method X Shu, Y Yang, B Wu Neurocomputing 453, 438-452, 2021 | 43 | 2021 |
| Efficient active contour model for medical image segmentation and correction based on edge and region information Y Yang, X Hou, H Ren Expert Systems with Applications 194, 116436, 2022 | 42 | 2022 |
| Split Bregman method for minimization of improved active contour model combining local and global information dynamically Y Yang, B Wu Journal of Mathematical Analysis and Applications 389 (1), 351-366, 2012 | 42 | 2012 |
| ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation X Shu, Y Yang, J Liu, X Chang, B Wu Pattern Recognition 136, 109257, 2023 | 31 | 2023 |
| A neighbor level set framework minimized with the split Bregman method for medical image segmentation X Shu, Y Yang, B Wu Signal Processing 189, 108293, 2021 | 31 | 2021 |
| Level set formulation for automatic medical image segmentation based on fuzzy clustering Y Yang, R Wang, C Feng Signal Processing: Image Communication 87, 115907, 2020 | 28 | 2020 |
| Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images Y Yang, W Jia, Y Yang Pattern Recognition 90, 450-463, 2019 | 28 | 2019 |
| A fast multiphase image segmentation model for gray images Y Yang, Y Zhao, B Wu, H Wang Computers & Mathematics with Applications 67 (8), 1559-1581, 2014 | 27 | 2014 |
| Convex image segmentation model based on local and global intensity fitting energy and split Bregman method Y Yang, B Wu Journal of Applied Mathematics 2012 (1), 692589, 2012 | 27 | 2012 |
| WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels R Xie, Y Yang, Z Chen Pattern Recognition 133, 108974, 2023 | 21 | 2023 |
| Level set framework with transcendental constraint for robust and fast image segmentation Y Yang, R Wang, X Shu, C Feng, R Xie, W Jia, C Li Pattern Recognition 117, 107985, 2021 | 19 | 2021 |
| A new and fast multiphase image segmentation model for color images Y Yang, B Wu Mathematical Problems in Engineering 2012 (1), 494761, 2012 | 15 | 2012 |
| MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation Y Yang, T Yan, X Jiang, R Xie, C Li, T Zhou Knowledge-based systems 248, 108795, 2022 | 14 | 2022 |
| Robust PCL discovery of data-driven mean-field game systems and control problems C Li, Y Yang, H Liang, B Wu IEEE Transactions on Circuits and Systems I: Regular Papers 68 (6), 2651-2664, 2021 | 14 | 2021 |
