| An overview of multi-modal medical image fusion J Du, W Li, K Lu, B Xiao Neurocomputing 215, 3-20, 2016 | 374 | 2016 |
| Pixel convolutional neural network for multi-focus image fusion H Tang, B Xiao, W Li, G Wang Information Sciences 433, 125-141, 2018 | 284 | 2018 |
| Union Laplacian pyramid with multiple features for medical image fusion J Du, W Li, B Xiao, Q Nawaz Neurocomputing 194, 326-339, 2016 | 230 | 2016 |
| RRU-Net: The ringed residual U-Net for image splicing forgery detection X Bi, Y Wei, B Xiao, W Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 222 | 2019 |
| Anatomical-functional image fusion by information of interest in local Laplacian filtering domain J Du, W Li, B Xiao IEEE Transactions on Image Processing 26 (12), 5855-5866, 2017 | 176 | 2017 |
| Image splicing forgery detection combining coarse to refined convolutional neural network and adaptive clustering B Xiao, Y Wei, X Bi, W Li, J Ma Information Sciences 511, 172-191, 2020 | 156 | 2020 |
| 2D-LBP: an enhanced local binary feature for texture image classification B Xiao, K Wang, X Bi, W Li, J Han IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2796-2808, 2018 | 113 | 2018 |
| Image analysis by fractional-order orthogonal moments B Xiao, L Li, Y Li, W Li, G Wang Information Sciences 382, 135-149, 2017 | 111 | 2017 |
| Global-feature encoding U-Net (GEU-Net) for multi-focus image fusion B Xiao, B Xu, X Bi, W Li IEEE Transactions on Image Processing 30, 163-175, 2020 | 109 | 2020 |
| Fractional discrete Tchebyshev moments and their applications in image encryption and watermarking B Xiao, J Luo, X Bi, W Li, B Chen Information Sciences 516, 545-559, 2020 | 101 | 2020 |
| Mcf: Mutual correction framework for semi-supervised medical image segmentation Y Wang, B Xiao, X Bi, W Li, X Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 100 | 2023 |
| Brightness and contrast controllable image enhancement based on histogram specification B Xiao, H Tang, Y Jiang, W Li, G Wang Neurocomputing 275, 2798-2809, 2018 | 100 | 2018 |
| A multiscale residual pyramid attention network for medical image fusion J Fu, W Li, J Du, Y Huang Biomedical Signal Processing and Control 66, 102488, 2021 | 99 | 2021 |
| Lossless image compression based on integer Discrete Tchebichef Transform B Xiao, G Lu, Y Zhang, W Li, G Wang Neurocomputing 214, 587-593, 2016 | 93 | 2016 |
| Follow the sound of children’s heart: a deep-learning-based computer-aided pediatric CHDs diagnosis system B Xiao, Y Xu, X Bi, W Li, Z Ma, J Zhang, X Ma IEEE Internet of Things Journal 7 (3), 1994-2004, 2019 | 85 | 2019 |
| Multi-focus image fusion by hessian matrix based decomposition B Xiao, G Ou, H Tang, X Bi, W Li IEEE Transactions on Multimedia 22 (2), 285-297, 2019 | 75 | 2019 |
| DSAGAN: A generative adversarial network based on dual-stream attention mechanism for anatomical and functional image fusion J Fu, W Li, J Du, L Xu Information Sciences 576, 484-506, 2021 | 73 | 2021 |
| Detecting generated images by real images B Liu, F Yang, X Bi, B Xiao, W Li, X Gao European Conference on Computer Vision, 95-110, 2022 | 67 | 2022 |
| Radial shifted Legendre moments for image analysis and invariant image recognition B Xiao, G Wang, W Li Image and Vision Computing 32 (12), 994-1006, 2014 | 64 | 2014 |
| PAM-DenseNet: A deep convolutional neural network for computer-aided COVID-19 diagnosis B Xiao, Z Yang, X Qiu, J Xiao, G Wang, W Zeng, W Li, Y Nian, W Chen IEEE Transactions on Cybernetics 52 (11), 12163-12174, 2021 | 61 | 2021 |
