Meiping Huang
Orcid: 0000-0002-0745-852X
According to our database1,
Meiping Huang
authored at least 45 papers
between 2018 and 2025.
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Bibliography
2025
Pattern Recognit., 2025
2024
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy.
Expert Syst. Appl., 2024
2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023
Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images.
Comput. Medical Imaging Graph., 2023
Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images.
IEEE J. Biomed. Health Informatics, 2022
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.
IEEE Trans. Computers, 2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022
2021
Using Machine Learning to Predict Five-Year Reintervention Risk in Type B Aortic Dissection Patients After Thoracic Endovascular Aortic Repair.
J. Medical Imaging Health Informatics, 2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021
Artificial Intelligence-based Computed Tomography Processing Framework for Surgical Telementoring of Congenital Heart Disease.
ACM J. Emerg. Technol. Comput. Syst., 2021
ACM J. Emerg. Technol. Comput. Syst., 2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
CoRR, 2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.
CoRR, 2021
The Hemodynamics of Patent Ductus Arteriosus in Patients after Central Shunt Operation.
Comput. Math. Methods Medicine, 2021
A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.
Int. J. Comput. Assist. Radiol. Surg., 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
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis.
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
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography.
Proceedings of the Information Processing in Medical 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
CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network.
Comput. Math. Methods Medicine, 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
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 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
Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
2018
Large-Deformation Image Registration of CT-TEE for Surgical Navigation of Congenital Heart Disease.
Comput. Math. Methods Medicine, 2018
Robust Stereo-Match Algorithm for Infrared Markers in Image-Guided Optical Tracking System.
IEEE Access, 2018