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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.

X. Xu, T. Wang, Y. Shi, H. Yuan, Q. Jia, M. Huang, and J. Zhuang. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 477-485. Springer, (2019)

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Jia Jia

Jia Xu

Lina Jia

Zhongxiao Jia

Jia Zeng

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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.X. Xu, T. Wang, Y. Shi, H. Yuan, Q. Jia, M. Huang, and J. Zhuang. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 477-485. Springer, (2019)ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease.X. Xu, T. Wang, J. Zhuang, H. Yuan, M. Huang, J. Cen, Q. Jia, Y. Dong, and Y. Shi. MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 77-87. Springer, (2020)Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.Y. Chen, X. Xu, D. Zeng, Y. Shi, H. Yuan, J. Zhuang, Y. Dong, Q. Jia, and M. Huang. CoRR, (2020)Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective.S. Wen, Y. Chen, Z. Liu, W. Wen, X. Xu, Y. Shi, T. Ho, Q. Jia, M. Huang, and J. Zhuang. BIBM, page 1166-1170. IEEE, (2020)Accurate Congenital Heart Disease Model Generation for 3D Printing.X. Xu, T. Wang, D. Zeng, Y. Shi, Q. Jia, H. Yuan, M. Huang, and J. Zhuang. SiPS, page 127-130. IEEE, (2019)A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.X. Xu, Q. Jia, H. Yuan, H. Qiu, Y. Dong, W. Xie, Z. Yao, J. Zhang, Z. Nie, X. Li and 4 other author(s). Medical Image Anal., (December 2023)Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising.J. Liu, Y. Ding, J. Xiong, Q. Jia, M. Huang, J. Zhuang, B. Xie, C. Liu, and Y. Shi. ISBI, page 614-618. IEEE, (2020)Zero-Shot Medical Image Artifact Reduction.Y. Chen, Y. Chang, S. Wen, Y. Shi, X. Xu, T. Ho, Q. Jia, M. Huang, and J. Zhuang. ISBI, page 862-866. IEEE, (2020)Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.X. Hu, Z. Yao, F. Liu, W. Xie, H. Qiu, H. Dong, Q. Jia, M. Huang, J. Zhuang, X. Xu and 1 other author(s). PRIME@MICCAI, volume 12329 of Lecture Notes in Computer Science, page 58-67. Springer, (2020)ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation.T. Wang, X. Xu, J. Xiong, Q. Jia, H. Yuan, M. Huang, J. Zhuang, and Y. Shi. MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 447-457. Springer, (2020)

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Disambiguation of "Jia, Qianjun"

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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.

Please choose a person to relate this publication to

Jia Jia

Jia Xu

Lina Jia

Zhongxiao Jia

Jia Zeng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jia, Qianjun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.

Please choose a person to relate this publication to

Jia Jia

Jia Xu

Lina Jia

Zhongxiao Jia

Jia Zeng

Other publications of authors with the same name

Disambiguation

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DOI
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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.