Dong Yang
Dong Yang
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Unetr: Transformers for 3d medical image segmentation
A Hatamizadeh, Y Tang, V Nath, D Yang, A Myronenko, B Landman, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
A Hatamizadeh, V Nath, Y Tang, D Yang, HR Roth, D Xu
International MICCAI brainlesion workshop, 272-284, 2021
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), 4080, 2020
Self-supervised pre-training of swin transformers for 3d medical image analysis
Y Tang, D Yang, W Li, HR Roth, B Landman, D Xu, V Nath, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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
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
Automatic liver segmentation using an adversarial image-to-image network
D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
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
Handbook of medical image computing and computer assisted intervention
SK Zhou, D Rueckert, G Fichtinger
Academic Press, 2019
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
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
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
Automated anatomical landmark detection ondistal femur surface using convolutional neural network
D Yang, S Zhang, Z Yan, C Tan, K Li, D Metaxas
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 17-21, 2015
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, ...
Information Processing in Medical Imaging: 25th International Conference …, 2017
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
Proceedings of the IEEE/CVF winter conference on applications of computer vision
A Hatamizadeh, Y Tang, V Nath, D Yang, A Myronenko, B Landman
IEEE, 2022
MRI reconstruction via cascaded channel-wise attention network
Q Huang, D Yang, P Wu, H Qu, J Yi, D Metaxas
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Dints: Differentiable neural network topology search for 3d medical image segmentation
Y He, D Yang, H Roth, C Zhao, D Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Deep learning and convolutional neural networks for medical imaging and clinical informatics
L Lu, X Wang, G Carneiro, L Yang
Springer International Publishing, 2019
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