Yang, Dong
Nvidia (United Kingdom) · Nvidia (United States)
8 papers on CoChatORCID 0000-0002-5031-4337
Most cited papers
- Verified
UNETR: Transformers for 3D Medical Image Segmentation
Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H. R., & Xu, D. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 3,586
- Verified
UNETR: Transformers for 3D Medical Image Segmentation
Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H., & Xu, D. (2021) · arXiv
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 3,580
- Verified
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Tang, Y., Yang, D., Li, W., Roth, H. R., Landman, B., Xu, D., Nath, V., & Hatamizadeh, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning
Cited by 849
- Verified
Artificial intelligence for the detection of COVID-19 pneumonia on chest ct using multinational datasets
Harmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., et al. (2020) · Nature Communications
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 587
- Verified
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Yang, D., Xu, Z., Li, W., Myronenko, A., Roth, H. R., Harmon, S., Xu, S., Turkbey, B., Turkbey, E., Wang, X., et al. (2021) · Medical Image Analysis
COVID-19 diagnosis using AIDomain Adaptation and Few-Shot Learning
Cited by 279
- Verified
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Xia, Y., Liu, F., Yang, D., Cai, J., Yu, L., Zhu, Z., Xu, D., Yuille, A., & Roth, H. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning
Cited by 170
- Verified
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Shen, C., Wang, P., Roth, H. R., Yang, D., Xu, D., Oda, M., Wang, W., Fuh, C.-S., Chen, P.-T., Liu, K.-L., et al. (2021) · Lecture Notes in Computer Science
Privacy-Preserving Technologies in DataMedical Image Segmentation Techniques
Cited by 36
- Verified
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
Zhang, L., Wang, X., Yang, D., Sanford, T., Harmon, S., Turkbey, B., Roth, H., Myronenko, A., Xu, D., & Xu, Z. (2019) · arXiv
Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques
Cited by 36
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free