Author

Dong Yang

NVIDIA - Cited by 4,502 - Medical Image Processing

Biography

Dong Yang  is affiliated to Institute of Health and Environmental Medicine, Key Laboratory of Risk Assessment and Control for Environment & Food Safety. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals.
Title
Cited by
Year
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 …, 2022202
614
2022
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 …, 2022202
154
2022
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, 2022202
49
2022
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ...Medical image analysis 82, 102605, 2022202
43
2022
Closing the generalization gap of cross-silo federated medical image segmentation
A Xu, W Li, P Guo, D Yang, HR Roth, A Hatamizadeh, C Zhao, D Xu, ...Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022202
23
2022
A cascaded deep learning–based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance imaging
S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu, H Roth, S Masoudi, ...Academic Radiology 29 (8), 1159-1168, 2022202
23
2022
Auto-fedrl: Federated hyperparameter optimization for multi-institutional medical image segmentation
P Guo, D Yang, A Hatamizadeh, A Xu, Z Xu, W Li, C Zhao, D Xu, ...European Conference on Computer Vision, 437-455, 202
22
2022
Unetformer: A unified vision transformer model and pre-training framework for 3d medical image segmentation
A Hatamizadeh, Z Xu, D Yang, W Li, H Roth, D XuarXiv preprint arXiv:2204.00631, 2022202
15
2022
Technique to perform neural network architecture search with federated learning
HR Roth, D Yang, W Li, A Myronenko, W Zhu, Z Xu, X Wang, D XuUS Patent App. 16/889,652, 2021202
12
2021
Hypersegnas: Bridging one-shot neural architecture search with 3d medical image segmentation using hypernet
C Peng, A Myronenko, A Hatamizadeh, V Nath, MMR Siddiquee, Y He, ...Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022202
11
2022
Nvidia flare: Federated learning from simulation to real-world
HR Roth, Y Cheng, Y Wen, I Yang, Z Xu, YT Hsieh, K Kersten, A Harouni, ...arXiv preprint arXiv:22.13291, 2022202
10
2022
Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI
S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu, H Roth, S Masoudi, ...Abdominal Radiology 47 (4), 1425-1434, 2022202
10
2022
Warm start active learning with proxy labels and selection via semi-supervised fine-tuning
V Nath, D Yang, HR Roth, D XuInternational Conference on Medical Image Computing and Computer-Assisted …, 2022202
8
2022
Selecting annotations for training images using a neural network
X Wang, Z Xu, D Yang, L Tam, D XuUS Patent App. 16/889,670, 2021202
5
2021
Loss of renal tubular G9a benefits acute kidney injury by lowering focal lipid accumulation via CES1
D Yang, Y Fan, M Xiong, Y Chen, Y Zhou, X Liu, Y Yuan, Q Wang, ...EMBO reports, e56128, 2023202
4
2023
Global federated training for neural networks
D Yang, Z Xu, W Li, A Myronenko, HR Roth, X Wang, W Zhu, D XuUS Patent App. 17/013,32, 2022202
4
2022
Optimized neural network generation
D Yang, W Li, Z Xu, X Wang, C Zhao, HR Roth, D XuUS Patent App. 16/998,69, 2022202
4
2022
Automated head and neck tumor segmentation from 3D PET/CT
Automated head and neck tumor segmentation from D PET/CTA Myronenko, MMR Siddiquee, D Yang, Y He, D XuarXiv preprint arXiv:2209.10809, 2022202
3
2022
Techniques for classification with neural networks
P Ribalta, M Marcinkiewicz, D Yang, D Xu, PM StrzelczykUS Patent App. 16/905,252, 2021202
3
2021
Label Generation Using Neural Networks
Z Xu, X Wang, D Yang, HR Roth, C Zhao, W Zhu, D XuUS Patent App. 16/940,41, 0
2
2022

Referred From: https://scholar.google.com/citations?user=PHvliUgAAAAJ&hl=en

Cited by
Citations 4502
h-index 30
i10-index 66
Open Access Journals