| Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks X Pan, L Li, H Yang, Z Liu, J Yang, L Zhao, Y Fan Neurocomputing 229, 88-99, 2017 | 119 | 2017 |
| A survey of restoration and enhancement for underwater images W Zhang, L Dong, X Pan, P Zou, L Qin, W Xu IEEE Access 7, 182259-182279, 2019 | 59 | 2019 |
| Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images L Li, X Pan, H Yang, Z Liu, Y He, Z Li, Y Fan, Z Cao, L Zhang Multimedia Tools and Applications 79, 14509-14528, 2020 | 56 | 2020 |
| Underwater image enhancement based on global and local equalization of histogram and dual-image multi-scale fusion L Bai, W Zhang, X Pan, C Zhao IEEE Access 8, 128973-128990, 2020 | 50 | 2020 |
| Single image defogging based on multi-channel convolutional MSRCR W Zhang, L Dong, X Pan, J Zhou, L Qin, W Xu IEEE Access 7, 72492-72504, 2019 | 46 | 2019 |
| Color correction and adaptive contrast enhancement for underwater image enhancement W Zhang, X Pan, X Xie, L Li, Z Wang, C Han Computers & Electrical Engineering 91, 106981, 2021 | 39 | 2021 |
| Dynamic adaptive residual network for liver CT image segmentation X Xie, W Zhang, H Wang, L Li, Z Feng, Z Wang, Z Wang, X Pan Computers & Electrical Engineering 91, 107024, 2021 | 36 | 2021 |
| An accurate nuclei segmentation algorithm in pathological image based on deep semantic network X Pan, L Li, D Yang, Y He, Z Liu, H Yang IEEE Access 7, 110674-110686, 2019 | 31 | 2019 |
| Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks X Pan, D Yang, L Li, Z Liu, H Yang, Z Cao, Y He, Z Ma, Y Chen World Wide Web 21, 1721-1743, 2018 | 29 | 2018 |
| Mci-net: multi-scale context integrated network for liver ct image segmentation X Xie, X Pan, F Shao, W Zhang, J An Computers and Electrical Engineering 101, 108085, 2022 | 26 | 2022 |
| A context hierarchical integrated network for medical image segmentation X Xie, X Pan, W Zhang, J An Computers and Electrical Engineering 101, 108029, 2022 | 24 | 2022 |
| Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review X Pan, Y Lu, R Lan, Z Liu, Z Qin, H Wang, Z Liu Computers & Electrical Engineering 91, 107038, 2021 | 19 | 2021 |
| Deep belief network-based drug identification using near infrared spectroscopy H Yang, B Hu, X Pan, S Yan, Y Feng, X Zhang, L Yin, C Hu Journal of Innovative Optical Health Sciences 10 (02), 1630011, 2017 | 18 | 2017 |
| FPGA implementation of SVM decision function based on hardware-friendly kernel X Pan, H Yang, L Li, Z Liu, L Hou 2013 International Conference on Computational and Information Sciences, 133-136, 2013 | 16 | 2013 |
| Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network Z Liu, H Lu, X Pan, M Xu, R Lan, X Luo Knowledge-Based Systems 238, 107942, 2022 | 15 | 2022 |
| Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels C Han, J Lin, J Mai, Y Wang, Q Zhang, B Zhao, X Chen, X Pan, Z Shi, Z Xu, ... Medical Image Analysis 80, 102487, 2022 | 12 | 2022 |
| Deep convolution network application in identification of multi-variety and multi-manufacturer pharmaceutical L Ling-qiao, P Xi-peng, F Yan-chun, Y Li-hui, H Chang-qin, Y Hui-hua Spectroscopy and spectral analysis 39 (11), 3606-3613, 2019 | 12 | 2019 |
| Three adaptive sub-histograms equalization algorithm for maritime image enhancement C Ding, X Pan, X Gao, L Ning, Z Wu IEEE Access 8, 147983-147994, 2020 | 11 | 2020 |
| Multi-manufacturer drug identification based on near infrared spectroscopy and deep transfer learning L Li, X Pan, W Chen, M Wei, Y Feng, L Yin, C Hu, H Yang Journal of Innovative Optical Health Sciences 13 (04), 2050016, 2020 | 11 | 2020 |
| Region-and pixel-level multi-focus image fusion through convolutional neural networks W Zhao, H Yang, J Wang, X Pan, Z Cao Mobile Networks and Applications 26, 40-56, 2021 | 9 | 2021 |
