Meiping Huang

Orcid: 0000-0002-0745-852X

According to our database1, Meiping Huang authored at least 43 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

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

Quantization of Deep Neural Networks for Accurate Edge Computing.
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

Quantization of Deep Neural Networks for Accurate EdgeComputing.
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

Positional Contrastive Learning for Volumetric Medical Image Segmentation.
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

Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks.
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

"One-Shot" Reduction of Additive Artifacts in Medical Images.
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

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Zero-Shot Medical Image Artifact Reduction.
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

Accurate Congenital Heart Disease Model Generation for 3D Printing.
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


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