Hao Gao

Orcid: 0000-0001-6852-9435

Affiliations:
  • University of Glasgow, School of Mathematics and Statistics, UK
  • Brunel University, Brunel Institute for Bioengineering, Uxbridge, UK (PhD 2010)


According to our database1, Hao Gao authored at least 24 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
On the Immersed Boundary Method with Time-Filter-SAV for Solving Fluid-Structure Interaction Problem.
J. Sci. Comput., August, 2024

Bayesian Inversion of Frequency-Domain Airborne EM Data With Spatial Correlation Prior Information.
IEEE Trans. Geosci. Remote. Sens., 2024

Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI.
Comput. Medical Imaging Graph., 2024

Using LDDMM and a kinematic cardiac growth model to quantify growth and remodelling in rat hearts under PAH.
Comput. Biol. Medicine, 2024

Physics and Lie symmetry informed Gaussian processes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.
Comput. Medical Imaging Graph., June, 2023

A Modelling Study of Pulmonary Regurgitation in a Personalized Human Heart.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net.
Pattern Recognit. Lett., 2022

Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking.
CoRR, 2022

A new active contraction model for the myocardium using a modified hill model.
Comput. Biol. Medicine, 2022

2021
A ghost structure finite difference method for a fractional FitzHugh-Nagumo monodomain model on moving irregular domain.
J. Comput. Phys., 2021

Apparent growth tensor of left ventricular post myocardial infarction - In human first natural history study.
Comput. Biol. Medicine, 2021

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artif. Intell. Medicine, 2021

2019
Knowledge-Based Multi-sequence MR Segmentation via Deep Learning with a Hybrid U-Net++ Model.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2017
A coupled mitral valve - left ventricle model with fluid-structure interaction.
CoRR, 2017

2015
Fluid-Structure Interaction Model of Human Mitral Valve within Left Ventricle.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Image-Derived Human Left Ventricular Modelling with Fluid-Structure Interaction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014
A numerical study of a heart phantom model.
Int. J. Comput. Math., 2014

2013
Two Statistical Mixture Model vs. Fuzzy C-Means: In the application of edema segmentation.
Proceedings of the 2013 IEEE International Conference on Signal and Image Processing Applications, 2013

Initial Experience with a Dynamic Imaging-Derived Immersed Boundary Model of Human Left Ventricle.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

2011
Variational level set method with shape constraint and application to oedema cardiac magnetic resonance image.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Automatic quantification and 3D visualisation of edema in cardiac MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

CMRI based 3D left ventricle motion analysis on patients with acute myocardial infarction.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Myocardial strain estimated from standard cine MRI closely represents strain estimated from dedicated strain-encoded MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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