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AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.

X. Xu, H. Qiu, Q. Jia, Y. Dong, Z. Yao, W. Xie, H. Guo, H. Yuan, J. Zhuang, M. Huang, and Y. Shi. Commun. ACM, 64 (12): 66-74 (2021)

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Josef Huang

Ying Huang

Haowei Huang

Haishi Huang

Feiqing Huang

Other publications of authors with the same name

3D Simulation Analysis of Central Shunt in Patient-Specific Hemodynamics: Effects of Varying Degree of Pulmonary Artery Stenosis and Shunt Diameters.J. Liu, H. Yuan, N. Zhang, X. Chen, C. Zhou, M. Huang, Q. Jian, and J. Zhuang. Comput. Math. Methods Medicine, (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)Using Machine Learning to Predict Five-Year Reintervention Risk in Type B Aortic Dissection Patients After Thoracic Endovascular Aortic Repair.W. Lin, L. Que, G. Lin, R. Chen, Q. Lu, M. Du, M. Liu, Z. Yu, and M. Huang. J. Medical Imaging Health Informatics, 11 (6): 1560-1567 (2021)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)Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation.D. Zeng, W. Jiang, T. Wang, X. Xu, H. Yuan, M. Huang, J. Zhuang, J. Hu, and Y. Shi. ICCAD, page 40:1-40:8. IEEE, (2020)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)Positional Contrastive Learning for Volumetric Medical Image Segmentation.D. Zeng, Y. Wu, X. Hu, X. Xu, H. Yuan, M. Huang, J. Zhuang, J. Hu, and Y. Shi. MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 221-230. Springer, (2021)EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis.T. Wang, Z. Li, M. Huang, J. Zhuang, S. Bi, J. Zhang, Y. Shi, H. Fei, and X. Xu. MICCAI (6), volume 12906 of Lecture Notes in Computer Science, page 506-515. Springer, (2021)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. CoRR, (2021)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)

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Disambiguation of "Huang, Meiping"

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AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.

Please choose a person to relate this publication to

Josef Huang

Ying Huang

Haowei Huang

Haishi Huang

Feiqing Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Meiping"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.

Please choose a person to relate this publication to

Josef Huang

Ying Huang

Haowei Huang

Haishi Huang

Feiqing Huang

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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MSOffice XML

AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.