Haiyun Yuan
Orcid: 0000-0002-8884-4202
According to our database1,
Haiyun Yuan
authored at least 21 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
CoRR, 2021
The Hemodynamics of Patent Ductus Arteriosus in Patients after Central Shunt Operation.
Comput. Math. Methods Medicine, 2021
AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.
Commun. ACM, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.
CoRR, 2020
Hemodynamic of the patent ductus arteriosus in neonates with modified Blalock-Taussig shunts.
Comput. Methods Programs Biomed., 2020
3D Simulation Analysis of Central Shunt in Patient-Specific Hemodynamics: Effects of Varying Degree of Pulmonary Artery Stenosis and Shunt Diameters.
Comput. Math. Methods Medicine, 2020
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
2019
Computational Fluid Dynamics Characterization of Two Patient-Specific Systemic-to-Pulmonary Shunts before and after Operation.
Comput. Math. Methods Medicine, 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019