Zhinuo J. Wang
Orcid: 0000-0001-5325-909X
According to our database1,
Zhinuo J. Wang
authored at least 14 papers
between 2014 and 2024.
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Bibliography
2024
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
IEEE Trans. Medical Imaging, July, 2024
Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials.
Medical Image Anal., 2024
Open Source Cardiac Digital Twinning of Human Ventricular Repolarisation from 12-Lead ECG and MRI.
Proceedings of the Artificial Intelligence Research and Development, 2024
2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
CoRR, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
Modelling and Simulation Reveals Density-Dependent Re-Entry Risk in The Infarcted Ventricles After Stem Cell-Derived Cardiomyocyte Delivery.
Proceedings of the Computing in Cardiology, 2022
Inference of Number and Location of Purkinje Root Nodes and Ventricular Conduction Properties from Clinical 12-Lead ECGs for Cardiac Digital Twinning.
Proceedings of the Computing in Cardiology, 2022
2021
Inference of ventricular activation properties from non-invasive electrocardiography.
Medical Image Anal., 2021
Effects of Fibre Orientation on Electrocardiographic and Mechanical Functions in a Computational Human Biventricular Model.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Human Ventricular Modelling and Simulation of Drug Action on Electrophysiology and Contraction.
Proceedings of the Computing in Cardiology, 2020
2014
Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014