| 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 | 185 | 2017 |
| 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 | 61 | 2015 |
| A medical image segmentation algorithm based on bi-directional region growing X Zhang, X Li, Y Feng Optik 126 (20), 2398-2404, 2015 | 61 | 2015 |
| Multi-focus image fusion using image-partition-based focus detection X Zhang, X Li, Z Liu, Y Feng Signal Processing 102, 64-76, 2014 | 43 | 2014 |
| 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 | 35 | 2015 |
| Image fusion based on simultaneous empirical wavelet transform X Zhang, X Li, Y Feng Multimedia Tools and Applications 76, 8175-8193, 2017 | 30 | 2017 |
| A new multifocus image fusion based on spectrum comparison X Zhang, X Li, Y Feng Signal Processing 123, 127-142, 2016 | 26 | 2016 |
| 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 |
| A classification performance measure considering the degree of classification difficulty X Zhang, X Li, Y Feng Neurocomputing 193, 81-91, 2016 | 17 | 2016 |
| A weighted-ROC graph based metric for image segmentation evaluation Y Feng, X Shen, H Chen, X Zhang Signal Processing 119, 43-55, 2016 | 13 | 2016 |
| A multi-focus image fusion framework based on multi-scale sparse representation in gradient domain Y Wang, X Li, R Zhu, Z Wang, Y Feng, X Zhang Signal Processing 189, 108254, 2021 | 12 | 2021 |
| An instance-oriented performance measure for classification S Yu, X Li, Y Feng, X Zhang, S Chen Information Sciences 580, 598-619, 2021 | 11 | 2021 |
| A semi-automatic brain tumor segmentation algorithm X Zhang, X Li, H Li, Y Feng 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 11 | 2016 |
| A novel interval iterative multi-thresholding algorithm based on hybrid spatial filter and region growing for medical brain MR images Y Feng, Y Liu, Z Liu, W Liu, Q Yao, X Zhang Applied Sciences 13 (2), 1087, 2023 | 10 | 2023 |
| A new image fusion performance measure using Riesz transforms X Zhang, X Li, Y Feng Optik 125 (3), 1427-1433, 2014 | 10 | 2014 |
| Medical image fusion using bilateral texture filtering Y Feng, J Wu, X Hu, W Zhang, G Wang, X Zhou, X Zhang Biomedical Signal Processing and Control 85, 105004, 2023 | 9 | 2023 |
| A parallelly contextual convolutional transformer for medical image segmentation Y Feng, J Su, J Zheng, Y Zheng, X Zhang Biomedical Signal Processing and Control 98, 106674, 2024 | 6 | 2024 |
| Image clustering segmentation based on SLIC superpixel and transfer learning XX Li, XJ Shen, HP Chen, YC Feng Pattern Recognition and Image Analysis 27, 838-845, 2017 | 6 | 2017 |
| PAMSNet: A medical image segmentation network based on spatial pyramid and attention mechanism Y Feng, X Zhu, X Zhang, Y Li, H Lu Biomedical Signal Processing and Control 94, 106285, 2024 | 5 | 2024 |
| GCFormer: Multi-scale feature plays a crucial role in medical images segmentation Y Feng, Y Cong, S Xing, H Wang, Z Ren, X Zhang Knowledge-Based Systems 300, 112170, 2024 | 4 | 2024 |
