Nonlinear Distortion Calibration of an Optical Flow Sensor for Monocular Visual Odometry. - Matthew Ng; Shaohui Foong (AIM, 2018)

Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction. - Fumin Guo; Mengyuan Li; Matthew Ng; Graham A. Wright; Mihaela Pop (STACOM@MICCAI, 2018)

Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow. - Fumin Guo; Matthew Ng; Graham A. Wright (STACOM@MICCAI, 2018)

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 (FIMH, 2019)

Visually Compensating Eccentric In-plane Rotations for Image Stabilization on a Rotating Platform. - Matthew Ng; Emmanuel Tang; Gim Song Soh; Shaohui Foong (AIM, 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 (ICRA, 2020)

Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models. - Fumin Guo; Matthew Ng; Graham A. Wright (Image Processing, 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 MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks. - Fumin Guo; Matthew Ng; Idan Roifman; Graham A. Wright (FIMH, 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 (STACOM@MICCAI, 2021)

Loss odyssey in medical image segmentation. - Jun Ma 016; Jianan Chen 001; Matthew Ng; Rui Huang; Yu Li 031; Chen Li; Xiaoping Yang 001; Anne L. Martel (Medical Image Anal., 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 005; Zhiqiang Hu; Eric Kerfoot; James R. Clough; Ilkay Öksüz; Hao Xu; Vicente Grau; Fumin Guo; Matthew Ng; Xiang Li 001; Quanzheng Li; et al. (IEEE J. Biomed. Health Informatics, 2021)

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)

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)

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 (FIMH, 2023)

Direct Angular Rate Estimation Without Event Motion-Compensation At High Angular Rates. - Matthew Ng; Xinyu Cai; Shaohui Foong (ICRA, 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., 2023)

A Robust High-Strength Multi-Surface Rapid UV-Curable Payload Installation System for Generic Multirotors via Impact Delivery. - Ryan Lim; Jeck Tan; Matthew Ng; Hong Yee Low; Shaohui Foong (IEEE Robotics Autom. Lett., 2024)