Daguang Xu
Daguang Xu
Research Manager and Senior Applied Research Scientist at NVIDIA
Verified email at nvidia.com - Homepage
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The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 1-7, 2020
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ...
Nature communications 11 (1), 1-7, 2020
Automatic liver segmentation using an adversarial image-to-image network
D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Privacy-preserving federated brain tumour segmentation
W Li, F Milletarė, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
International workshop on machine learning in medical imaging, 133-141, 2019
Method and System for Image Registration Using an Intelligent Artificial Agent
R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ...
US Patent App. 15/587,094, 2017
Combo loss: Handling input and output imbalance in multi-organ segmentation
SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ...
Computerized Medical Imaging and Graphics 75, 24-33, 2019
3d anisotropic hybrid network: Transferring convolutional features from 2d images to 3d anisotropic volumes
S Liu, D Xu, SK Zhou, O Pauly, S Grbic, T Mertelmeier, J Wicklein, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation
L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ...
IEEE transactions on medical imaging 39 (7), 2531-2540, 2020
Automatic vertebra labeling in large-scale 3D CT using deep image-to-image network with message passing and sparsity regularization
D Yang, T Xiong, D Xu, Q Huang, D Liu, SK Zhou, Z Xu, JH Park, M Chen, ...
International conference on information processing in medical imaging, 633-644, 2017
3d semi-supervised learning with uncertainty-aware multi-view co-training
Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation
Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
V-nas: Neural architecture search for volumetric medical image segmentation
Z Zhu, C Liu, D Yang, A Yuille, D Xu
2019 International Conference on 3D Vision (3DV), 240-248, 2019
Real-time compressive sensing spectral domain optical coherence tomography
D Xu, Y Huang, JU Kang
Optics letters 39 (1), 76-79, 2014
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Medical Image Analysis 65, 101766, 2020
Deep image-to-image network learning for medical image analysis
SK Zhou, D Comaniciu, B Georgescu, Y Zheng, D Liu, D Xu
US Patent 9,760,807, 2017
Interactive segmentation of medical images through fully convolutional neural networks
T Sakinis, F Milletari, H Roth, P Korfiatis, P Kostandy, K Philbrick, Z Akkus, ...
arXiv preprint arXiv:1903.08205, 2019
When radiology report generation meets knowledge graph
Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12910 …, 2020
Deep image-to-image recurrent network with shape basis learning for automatic vertebra labeling in large-scale 3D CT volumes
D Yang, T Xiong, D Xu, SK Zhou, Z Xu, M Chen, JH Park, S Grbic, TD Tran, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Modified compressive sensing optical coherence tomography with noise reduction
D Xu, N Vaswani, Y Huang, JU Kang
Optics letters 37 (20), 4209-4211, 2012
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
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