| Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 808 | 2016 |
| Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classification W Zhu, C Liu, W Fan, X Xie arXiv preprint arXiv:1801.09555, 2018 | 399 | 2018 |
| Deeplung: 3d deep convolutional nets for automated pulmonary nodule detection and classification W Zhu, C Liu, W Fan, X Xie 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 | 399* | 2017 |
| AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy W Zhu, Y Huang, L Zeng, X Chen, Y Liu, Z Qian, N Du, W Fan, X Xie Medical physics, 2018 | 367 | 2018 |
| Privacy-preserving federated brain tumour segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 303 | 2019 |
| Deep multi-instance networks with sparse label assignment for whole mammogram classification W Zhu, Q Lou, YS Vang, X Xie International conference on medical image computing and computer-assisted …, 2017 | 246 | 2017 |
| Adversarial deep structured nets for mass segmentation from mammograms W Zhu, X Xiang, TD Tran, GD Hager, X Xie Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 126 | 2018 |
| Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, and Xiaohui Xie. Co-occurrence feature learning for skeleton based action recognition using regularized deep lstm … W Zhu Thirtieth AAAI Conference on Artificial Intelligence, 3697-3703, 2016 | 123 | 2016 |
| One-class classification with extreme learning machine Q Leng, H Qi, J Miao, W Zhu, G Su Mathematical problems in engineering 2015, 2015 | 119 | 2015 |
| Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ... Medical image analysis 70, 101992, 2021 | 118 | 2021 |
| Adversarial deep structural networks for mammographic mass segmentation W Zhu, X Xiang, TD Tran, X Xie arXiv preprint arXiv:1612.05970, 2016 | 66 | 2016 |
| DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection W Zhu, YS Vang, Y Huang, X Xie International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 63 | 2018 |
| Hierarchical extreme learning machine for unsupervised representation learning W Zhu, J Miao, L Qing, GB Huang Neural Networks (IJCNN), 2015 International Joint Conference on, 2015 | 63 | 2015 |
| Constrained extreme learning machine: a novel highly discriminative random feedforward neural network W Zhu, J Miao, L Qing 2014 International Joint Conference on Neural Networks (IJCNN), 800-807, 2014 | 51 | 2014 |
| Vehicle detection in driving simulation using extreme learning machine W Zhu, J Miao, J Hu, L Qing Neurocomputing 128, 160-165, 2014 | 51 | 2014 |
| Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... Medical Image Analysis 81, 102528, 2022 | 38 | 2022 |
| AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation W Zhu, Y Huang, H Tang, Z Qian, N Du, W Fan, X Xie arXiv preprint arXiv:1808.05238, 2018 | 38 | 2018 |
| Multi-domain image completion for random missing input data L Shen, W Zhu, X Wang, L Xing, JM Pauly, B Turkbey, SA Harmon, ... IEEE transactions on medical imaging 40 (4), 1113-1122, 2020 | 36 | 2020 |
| Transmomo: Invariance-driven unsupervised video motion retargeting Z Yang, W Zhu, W Wu, C Qian, Q Zhou, B Zhou, CC Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
| Neural network architecture system for deep odometry assisted by static scene optical flow W Zhu, Y Wang, Y Luo US Patent 10,671,083, 2020 | 29* | 2020 |
Xiaohui XieProfessor of Computer Science, University of California, IrvineVerified email at uci.edu
