| A multi-scale 3D Otsu thresholding algorithm for medical image segmentation Y Feng, H Zhao, X Li, X Zhang, H Li Digital Signal Processing 60, 186-199, 2017 | 170 | 2017 |
| Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform Z Wang, X Li, H Duan, Y Su, X Zhang, X Guan Expert Systems with Applications 171, 114574, 2021 | 89 | 2021 |
| A medical image segmentation algorithm based on bi-directional region growing X Zhang, X Li, Y Feng Optik 126 (20), 2398-2404, 2015 | 62 | 2015 |
| The OCS-SVM: An objective-cost-sensitive SVM with sample-based misclassification cost invariance S Yu, X Li, X Zhang, H Wang IEEE Access 7, 118931-118942, 2019 | 59 | 2019 |
| Validation and correlation analysis of metrics for evaluating performance of image fusion XL Zhang, XF Li, J Li Acta Automatica Sinica 40 (2), 306-315, 2014 | 58 | 2014 |
| The use of ROC and AUC in the validation of objective image fusion evaluation metrics X Zhang, X Li, Y Feng, Z Liu Signal processing 115, 38-48, 2015 | 56 | 2015 |
| FusionCNN: a remote sensing image fusion algorithm based on deep convolutional neural networks F Ye, X Li, X Zhang Multimedia Tools and Applications 78, 14683-14703, 2019 | 49 | 2019 |
| Multifocus image fusion using convolutional neural networks in the discrete wavelet transform domain Z Wang, X Li, H Duan, X Zhang, H Wang Multimedia Tools and Applications 78, 34483-34512, 2019 | 42 | 2019 |
| Multi-focus image fusion using image-partition-based focus detection X Zhang, X Li, Z Liu, Y Feng Signal Processing 102, 64-76, 2014 | 42 | 2014 |
| Infrared and visible image fusion based on saliency detection and two-scale transform decomposition S Zhang, X Li, X Zhang, S Zhang Infrared Physics & Technology 114, 103626, 2021 | 35 | 2021 |
| A self-supervised residual feature learning model for multifocus image fusion Z Wang, X Li, H Duan, X Zhang IEEE Transactions on Image Processing 31, 4527-4542, 2022 | 33 | 2022 |
| Image fusion with internal generative mechanism X Zhang, X Li, Y Feng, H Zhao, Z Liu Expert Systems with Applications 42 (5), 2382-2391, 2015 | 33 | 2015 |
| Multi‐focus image fusion algorithm based on multilevel morphological component analysis and support vector machine X Li, L Wang, J Wang, X Zhang IET Image Processing 11 (10), 919-926, 2017 | 29 | 2017 |
| Image fusion based on simultaneous empirical wavelet transform X Zhang, X Li, Y Feng Multimedia Tools and Applications 76, 8175-8193, 2017 | 28 | 2017 |
| A new multifocus image fusion based on spectrum comparison X Zhang, X Li, Y Feng Signal Processing 123, 127-142, 2016 | 27 | 2016 |
| SFA: small faces attention face detector S Luo, X Li, R Zhu, X Zhang IEEE access 7, 171609-171620, 2019 | 26 | 2019 |
| HID: the hybrid image decomposition model for MRI and CT fusion R Zhu, X Li, X Zhang, J Wang IEEE Journal of Biomedical and Health Informatics 26 (2), 727-739, 2021 | 25 | 2021 |
| MRI and CT medical image fusion based on synchronized-anisotropic diffusion model R Zhu, X Li, X Zhang, M Ma IEEE Access 8, 91336-91350, 2020 | 25 | 2020 |
| Segmentation fusion based on neighboring information for MR brain images Y Feng, X Shen, H Chen, X Zhang Multimedia Tools and Applications 76, 23139-23161, 2017 | 22 | 2017 |
| C_CART: an instance confidence-based decision tree algorithm for classification S Yu, X Li, H Wang, X Zhang, S Chen Intelligent Data Analysis 25 (4), 929-948, 2021 | 17 | 2021 |
