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O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.

Z. Jiang, Y. He, S. Ye, P. Shao, X. Zhu, Y. Xu, Y. Chen, J. Coatrieux, S. Li, and G. Yang. Knowl. Based Syst., (April 2023)

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Yuting Wang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

Multi-scale error feedback network for low-light image enhancement.Y. Qian, Z. Jiang, Y. He, S. Zhang, and S. Jiang. Neural Comput. Appl., 34 (23): 21301-21317 (2022)Physical-Based Spatial-Spectral Deep Fusion Network for Chlorophyll-a Estimation Using MODIS and Sentinel-2 MSI Data.Y. He, P. Wu, X. Ma, J. Wang, and Y. Wu. Remote. Sens., 14 (22): 5828 (2022)O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.Z. Jiang, Y. He, S. Ye, P. Shao, X. Zhu, Y. Xu, Y. Chen, J. Coatrieux, S. Li, and G. Yang. Knowl. Based Syst., (April 2023)A Highly Robust and Low-Power Flip-Flop Cell With Complete Double-Node-Upset Tolerance for Aerospace Applications.A. Yan, Y. He, X. Niu, J. Cui, T. Ni, Z. Huang, P. Girard, and X. Wen. IEEE Des. Test, 40 (4): 34-41 (August 2023)Scale-Adaptive Tiny Object Detection Enhanced by Across-Scale and Shape-Preserved Semantic Location.Y. He, R. Huang, Y. Shi, G. Xiao, B. Yang, and Y. Li. ICASSP, page 1-5. IEEE, (2023)Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.X. Chen, Y. He, C. Xue, R. Ge, S. Li, and G. Yang. MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 405-415. Springer, (2023)Attention-Capsule Network for Low-Light Image Recognition.S. Shen, Z. Jiang, X. Lei, X. Wu, and Y. He. IJCNN, page 1-7. IEEE, (2023)Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images.R. Huang, Y. Shi, Y. He, Y. Zheng, G. Xiao, and Z. Liu. ICIP, page 1090-1094. IEEE, (2023)Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.G. Yang, Y. He, Y. Lv, Y. Chen, J. Coatrieux, X. Sun, Q. Wang, Y. Wei, S. Li, and Y. Zhu. IEEE J. Biomed. Health Informatics, 27 (4): 1967-1978 (April 2023)Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.Y. Qi, H. Xu, Y. He, G. Li, Z. Li, Y. Kong, J. Coatrieux, H. Shu, G. Yang, and S. Tu. IEEE Trans. Image Process., (2021)

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Disambiguation of "He, Yuting"

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O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.

Please choose a person to relate this publication to

Yuting Wang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Yuting"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.

Please choose a person to relate this publication to

Yuting Wang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.