Matthew Ng
Orcid: 0000-0003-4051-1617
According to our database1,
Matthew Ng
authored at least 18 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Robust High-Strength Multi-Surface Rapid UV-Curable Payload Installation System for Generic Multirotors via Impact Delivery.
IEEE Robotics Autom. Lett., October, 2024
2023
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE Trans. Biomed. Eng., June, 2023
Direct Angular Rate Estimation Without Event Motion-Compensation At High Angular Rates.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
The Extent of LGE-Defined Fibrosis Predicts Ventricular Arrhythmia Severity: Insights from a Preclinical Model of Chronic Infarction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
Aggregation Functions for Simultaneous Attitude and Image Estimation With Event Cameras at High Angular Rates.
IEEE Robotics Autom. Lett., 2022
Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.
Medical Image Anal., 2022
2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Cardiac MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
2020
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.
Medical Image Anal., 2020
Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
SHIFT: Selective Heading Image for Translation An onboard monocular optical flow estimator for fast constantly rotating UAVs.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Visually Compensating Eccentric In-plane Rotations for Image Stabilization on a Rotating Platform.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020
2019
Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Nonlinear Distortion Calibration of an Optical Flow Sensor for Monocular Visual Odometry.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018