Hao Gao
Orcid: 0000-0001-6852-9435Affiliations:
- 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:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
On csauthors.net:
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
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
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
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
CoRR, 2017
2015
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
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
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