| 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 | 967 | 2016 |
| 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 | 534 | 2019 |
| 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 | 527* | 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 | 495 | 2018 |
| 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 | 485 | 2018 |
| Deep multi-instance networks with sparse label assignment for whole mammogram classification W Zhu, Q Lou, YS Vang, X Xie Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 317 | 2017 |
| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 298 | 2022 |
| 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 | 232 | 2021 |
| 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 | 154 | 2018 |
| One‐Class Classification with Extreme Learning Machine Q Leng, H Qi, J Miao, W Zhu, G Su Mathematical problems in engineering 2015 (1), 412957, 2015 | 148 | 2015 |
| 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 | 144 | 2016 |
| Adversarial deep structural networks for mammographic mass segmentation W Zhu, X Xiang, TD Tran, X Xie arXiv preprint arXiv:1612.05970, 2016 | 81 | 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 | 72 | 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 | 72 | 2015 |
| CelebV-HQ: A large-scale video facial attributes dataset H Zhu, W Wu, W Zhu, L Jiang, S Tang, L Zhang, Z Liu, CC Loy European conference on computer vision, 650-667, 2022 | 66 | 2022 |
| 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 | 66 | 2022 |
| Self-supervised monocular depth and ego-motion estimation in endoscopy: Appearance flow to the rescue S Shao, Z Pei, W Chen, W Zhu, X Wu, D Sun, B Zhang Medical image analysis 77, 102338, 2022 | 66 | 2022 |
| 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 | 66 | 2020 |
| Motionbert: A unified perspective on learning human motion representations W Zhu, X Ma, Z Liu, L Liu, W Wu, Y Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 58 | 2023 |
| 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 | 55 | 2014 |
Xiaohui XieProfessor of Computer Science, University of California, IrvineVerified email at uci.edu