Matthew Ng

According to our database, Matthew Ng authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.

Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright

IEEE Trans. Biomed. Eng., June, 2023

Direct Angular Rate Estimation Without Event Motion-Compensation At High Angular Rates.

Matthew Ng, Xinyu Cai, Shaohui Foong

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.

Terenz Escartin, Philippa Krahn, Cindy Yu, Matthew Ng, Jennifer Barry, Sheldon M. Singh, Graham A. Wright, Mihaela Pop

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.

Matthew Ng, Zi Min Er, Gim Song Soh, Shaohui Foong

IEEE Robotics Autom. Lett., 2022

Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.

Fumin Guo, Matthew Ng, Grey Kuling, Graham A. Wright

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.

Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li

IEEE J. Biomed. Health Informatics, 2021

Loss odyssey in medical image segmentation.

Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel

Medical Image Anal., 2021

Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study.

Peter Lin, Terenz Escartin, Matthew Ng, Mengyuan Li, Melissa Larsen, Jennifer Barry, Idan Roifman, Mihaela Pop

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.

Fumin Guo, Matthew Ng, Idan Roifman, Graham A. Wright

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.

Fumin Guo, Matthew Ng, Maged Goubran, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright

Medical Image Anal., 2020

Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models.

Fumin Guo, Matthew Ng, Graham A. Wright

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.

Matthew Ng, Emmanuel Tang, Gim Song Soh, Shaohui Foong

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.

Matthew Ng, Emmanuel Tang, Gim Song Soh, Shaohui Foong

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.

Mengyuan Li, Maxime Sermesant, Sebastian Ferguson, Fumin Guo, Jennifer Barry, Xiuling Qi, Peter Lin, Matthew Ng, Graham A. Wright, Mihaela Pop

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.

Fumin Guo, Matthew Ng, Graham A. Wright

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.

Fumin Guo, Mengyuan Li, Matthew Ng, Graham A. Wright, Mihaela Pop

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.

Matthew Ng, Shaohui Foong

Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018