| Rain streak removal via dual graph convolutional network X Fu, Q Qi, ZJ Zha, Y Zhu, X Ding Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1352-1360, 2021 | 92 | 2021 |
| Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ... Frontiers in neuroscience 14, 27, 2020 | 70 | 2020 |
| Label-efficient breast cancer histopathological image classification Q Qi, Y Li, J Wang, H Zheng, Y Huang, X Ding, GK Rohde IEEE Journal of biomedical and health informatics 23 (5), 2108-2116, 2018 | 61 | 2018 |
| Successive graph convolutional network for image de-raining X Fu, Q Qi, ZJ Zha, X Ding, F Wu, J Paisley International Journal of Computer Vision 129, 1691-1711, 2021 | 39 | 2021 |
| Breast cancer histopathological image classification via deep active learning and confidence boosting B Du, Q Qi, H Zheng, Y Huang, X Ding International Conference on Artificial Neural Networks, 109-116, 2018 | 37 | 2018 |
| Curriculum feature alignment domain adaptation for epithelium-stroma classification in histopathological images Q Qi, X Lin, C Chen, W Xie, Y Huang, X Ding, X Liu, Y Yu IEEE journal of biomedical and health informatics 25 (4), 1163-1172, 2020 | 12 | 2020 |
| Age estimation from MR images via 3D convolutional neural network and densely connect Q Qi, B Du, M Zhuang, Y Huang, X Ding International Conference on Neural Information Processing, 410-419, 2018 | 9 | 2018 |
| Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches. Front Neurosci 14: 27 T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ... | 5 | 2020 |
Xinghao DingVerified email at xmu.edu.cn
