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Accurate Congenital Heart Disease Model Generation for 3D Printing., , , , , , , and . SiPS, page 127-130. IEEE, (2019)Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis., , , , , , , , and . CoRR, (2020)ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease., , , , , , , , and . CoRR, (2021)Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective., , , , , , , , , and . BIBM, page 1166-1170. IEEE, (2020)Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching., , , , , , and . 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., , , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 77-87. Springer, (2020)The Hemodynamics of Patent Ductus Arteriosus in Patients after Central Shunt Operation., , , , , , , and . Comput. Math. Methods Medicine, (2021)A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images., , , , , , , , , and 4 other author(s). Medical Image Anal., (December 2023)Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images., , , , , , , , , and 3 other author(s). CoRR, (2021)AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease., , , , , , , , , and 1 other author(s). Commun. ACM, 64 (12): 66-74 (2021)