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Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.

Y. He, G. Yang, J. Yang, Y. Chen, Y. Kong, J. Wu, L. Tang, X. Zhu, J. Dillenseger, P. Shao, S. Zhang, H. Shu, J. Coatrieux, and S. Li. Medical Image Anal., (2020)

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Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Hua Shao

Other publications of authors with the same name

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification.L. Xu, Y. Cheng, F. Zhang, B. Wu, P. Shao, P. Liu, S. Shen, P. Yao, and R. Xu. CoRR, (2022)An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization.F. Zhang, B. Pan, P. Shao, P. Liu, S. Shen, P. Yao, and R. Xu. CoRR, (2021)Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.G. Yang, C. Wang, J. Yang, Y. Chen, L. Tang, P. Shao, J. Dillenseger, H. Shu, and L. Luo. BMC Medical Imaging, 20 (1): 37 (2020)Multipair Virtual Full Duplex Relaying with Massive MIMO.Z. Fang, P. Shao, J. Chen, and J. Shi. Wireless Personal Communications, 109 (3): 1699-1711 (2019)An Approach to Distributed Remote Bridges Monitoring Based on Soft Middleware.P. Shao, X. Zhang, and Y. Ge. ICSAP, page 172-176. IEEE Computer Society, (2010)Hash searching and network coding based constant retransmission for wireless multicast.P. Shao, Y. Zhao, M. Yang, and Z. Wang. IET Commun., 11 (2): 302-309 (2017)Study on suppressing harmonic flux density of converter transformer core under the DC bias.H. Hong, P. Shao, X. Xu, and H. Chen. ISPACS, page 590-595. IEEE, (2017)Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.P. Yao, S. Shen, M. Xu, P. Liu, F. Zhang, J. Xing, P. Shao, B. Kaffenberger, and R. Xu. IEEE Trans. Medical Imaging, 41 (5): 1242-1254 (2022)Massive MIMO for Full-Duplex Cellular Two-Way Relay Network: A Spectral Efficiency Study.Z. Fang, W. Ni, F. Liang, P. Shao, and Y. hui Wu. IEEE Access, (2017)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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Disambiguation of "Shao, Pengfei"

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Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.

Please choose a person to relate this publication to

Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Hua Shao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shao, Pengfei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.

Please choose a person to relate this publication to

Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Hua Shao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.