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Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.

L. Wang, J. Huang, X. Xing, and G. Yang. SIPAIM, page 1-5. IEEE, (2023)

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Xiaodan Jiang

Xiaodan Wu

Xiaodan Miao

Xiaodan Zhou

Other publications of authors with the same name

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.X. Xing, G. Papanastasiou, S. Walsh, and G. Yang. IEEE Trans. Medical Imaging, 42 (9): 2566-2576 (September 2023)Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.L. Wang, J. Huang, X. Xing, Y. Wu, R. Rajakulasingam, A. Scott, P. Ferreira, R. Silva, S. Nielles-Vallespin, and G. Yang. SIPAIM, page 1-5. IEEE, (2023)Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation.X. Xing, Y. Wu, D. Firmin, P. Gatehouse, and G. Yang. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.Q. Li, X. Xing, Y. Sun, B. Xiao, H. Wei, Q. Huo, M. Zhang, X. Zhou, Y. Zhan, Z. Xue and 1 other author(s). MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 307-315. Springer, (2019)The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?X. Xing, Y. Nan, F. Felder, S. Walsh, and G. Yang. CBMS, page 523-528. IEEE, (2023)Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline.H. Wei, X. Tang, M. Zhang, Q. Li, X. Xing, X. Zhou, Z. Xue, W. Zhu, Z. Chen, and F. Shi. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 839-847. Springer, (2019)HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.X. Xing, J. Ser, Y. Wu, Y. Li, J. Xia, L. Xu, D. Firmin, P. Gatehouse, and G. Yang. IEEE J. Biomed. Health Informatics, 27 (10): 5134-5142 (October 2023)Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.L. Wang, J. Huang, X. Xing, and G. Yang. SIPAIM, page 1-5. IEEE, (2023)Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences.X. Xing, L. Jin, Q. Li, L. Chen, Z. Xue, Z. Peng, F. Shi, and D. Shen. UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 121-130. Springer, (2020)Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network.Z. Cao, F. Shi, Q. Xu, G. Liu, T. Sun, X. Xing, Y. He, G. Lu, Z. Zhang, and D. Shen. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 258-266. Springer, (2021)

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Disambiguation of "Xing, Xiaodan"

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Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.

Please choose a person to relate this publication to

Xiaodan Jiang

Xiaodan Wu

Xiaodan Miao

Xiaodan Miao

Xiaodan Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xing, Xiaodan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.

Please choose a person to relate this publication to

Xiaodan Jiang

Xiaodan Wu

Xiaodan Miao

Xiaodan Miao

Xiaodan Zhou

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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Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.