Wentao Zhu
Cited by
Cited by
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
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
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
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
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
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
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
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
One-class classification with extreme learning machine
Q Leng, H Qi, J Miao, W Zhu, G Su
Mathematical problems in engineering 2015, 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
Adversarial deep structural networks for mammographic mass segmentation
W Zhu, X Xiang, TD Tran, X Xie
arXiv preprint arXiv:1612.05970, 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
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
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
Vehicle detection in driving simulation using extreme learning machine
W Zhu, J Miao, J Hu, L Qing
Neurocomputing 128, 160-165, 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
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
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
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
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
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