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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

Y. He, T. Li, R. Ge, J. Yang, Y. Kong, J. Zhu, H. Shu, G. Yang, and S. Li. IEEE J. Biomed. Health Informatics, 26 (3): 1177-1187 (2022)

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Guanyu Wang

Yang Yang

Other publications of authors with the same name

Efficient Legendre moment computation for grey level images.G. Yang, H. Shu, C. Toumoulin, G. Han, and L. Luo. CoRR, (2014)Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.Y. He, R. Ge, X. Qi, Y. Chen, J. Wu, J. Coatrieux, G. Yang, and S. Li. IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2588-2601 (February 2024)Automatic left ventricle segmentation based on multiatlas registration in 4D CT images.G. Yang, Y. Chen, L. Tang, H. Shu, and C. Toumoulin. ISBI, page 413-416. IEEE, (2014)Left Ventricle Full Quantification via Hierarchical Quantification Network.G. Yang, T. Hua, C. Lu, T. Pan, X. Yang, L. Hu, J. Wu, X. Zhu, and H. Shu. STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 429-438. Springer, (2018)An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network.J. Qiu, L. Zhang, G. Yang, Y. Chen, and S. Zhou. IEEE Access, (2019)DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.Y. He, G. Yang, Y. Chen, Y. Kong, J. Wu, L. Tang, X. Zhu, J. Dillenseger, P. Shao, S. Zhang and 3 other author(s). MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 139-147. Springer, (2019)Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.R. Ge, G. Yang, C. Xu, Y. Chen, L. Luo, and S. Li. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 328-338. Springer, (2019)Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.Y. He, R. Ge, J. Wu, J. Coatrieux, H. Shu, Y. Chen, G. Yang, and S. Li. ICDM, page 1096-1101. IEEE, (2021)Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network.Z. Lu, J. Coatrieux, G. Yang, T. Hua, L. Hu, Y. Kong, L. Tang, X. Zhu, J. Dillenseger, and H. Shu. ICIP, page 2174-2178. IEEE, (2019)A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images.T. Pan, H. Shu, J. Coatrieux, G. Yang, C. Wang, Z. Lu, Z. Zhou, Y. Kong, L. Tang, X. Zhu and 1 other author(s). ICIP, page 809-813. IEEE, (2019)

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Disambiguation of "Yang, Guanyu"

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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

Please choose a person to relate this publication to

Guanyu Wang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Guanyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

Please choose a person to relate this publication to

Guanyu Wang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.