Fanwei Kong
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View article: Personalized biventricular mechanics and sensitivity to model morphology
Personalized biventricular mechanics and sensitivity to model morphology Open
A bstract We present a computational framework for constructing patient-specific models of cardiac mechanics based on standard clinical data, including electrocardiogram (ECG), cuff blood pressure, and electrocardiography-gated computed to…
View article: Full-field surrogate modeling of cardiac electrophysiology encoding geometric variability
Full-field surrogate modeling of cardiac electrophysiology encoding geometric variability Open
View article: Effect of Cardiac Fiber Orientation on Electrical Dyssynchrony in Ventricular Ectopy
Effect of Cardiac Fiber Orientation on Electrical Dyssynchrony in Ventricular Ectopy Open
Background Widened QRS complex confers worse prognosis in both pacing and premature ventricular contraction (PVC), and may predispose to heart failure. In healthy adult patients, cardiac fiber orientation is highly variable. While traversi…
View article: Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs Open
This work introduces AD-SVFD, a deep learning model for the deformable registration of vascular shapes to a pre-defined reference and for the generation of synthetic anatomies. AD-SVFD operates by representing each geometry as a weighted p…
View article: Deforming Patient-Specific Models of Vascular Anatomies to Represent Stent Implantation via Extended Position Based Dynamics
Deforming Patient-Specific Models of Vascular Anatomies to Represent Stent Implantation via Extended Position Based Dynamics Open
View article: Virtual Shape-Editing of Patient-Specific Vascular Models Using Regularized Kelvinlets
Virtual Shape-Editing of Patient-Specific Vascular Models Using Regularized Kelvinlets Open
These methods will enable researchers to more easily perform virtual-surgery-like deformations, computationally explore the impact of vascular shape on patient hemodynamics, and generate synthetic geometries for data-driven research.
View article: Research of the New Generation Marine Navigation Security Communication System
Research of the New Generation Marine Navigation Security Communication System Open
With the number of Chinese ships rapidly increasing, the available channels for the Automatic Identification System (AIS) are serious congested. This has led to a sharp rise in collision warnings. The maritime communication System is compr…
View article: Digital twinning of cardiac electrophysiology for congenital heart disease
Digital twinning of cardiac electrophysiology for congenital heart disease Open
In recent years, blending mechanistic knowledge with machine learning has had a major impact in digital healthcare. In this work, we introduce a computational pipeline to build certified digital replicas of cardiac electrophysiology in ped…
View article: SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects Open
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural abnormalities, often requiring customized treatment plans for individual patients. Computational modeling and analysis of these unique cardiac anatomies can…
View article: LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart Open
We present a deep learning model to automatically generate computer models of the human heart from patient imaging data with an emphasis on its capability to generate thin-walled cardiac structures. Our method works by deforming a template…
View article: Case report: A combined immunotherapy strategy as a promising therapy for MSI-H colorectal carcinomas with multiple HPD risk factors
Case report: A combined immunotherapy strategy as a promising therapy for MSI-H colorectal carcinomas with multiple HPD risk factors Open
Approximately 5% of advanced colorectal carcinomas (CRCs) and 12–15% of early CRCs are microsatellite instability-high (MSI-H) or mismatch repair-deficient (dMMR) tumors. Nowadays, PD-L1 inhibitors or combined CTLA4 inhibitors are the majo…
View article: Improved Right Ventricular Energy Efficiency by 4-Dimensional Flow Magnetic Resonance Imaging After Harmony Valve Implantation
Improved Right Ventricular Energy Efficiency by 4-Dimensional Flow Magnetic Resonance Imaging After Harmony Valve Implantation Open
View article: Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations
Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations Open
Patient-specific cardiac modeling combines geometries of the heart derived from medical images and biophysical simulations to predict various aspects of cardiac function. However, generating simulation-suitable models of the heart from pat…
View article: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge Open
The emergence of deep learning has considerably advanced the state-of-the-art in cardiac magnetic resonance (CMR) segmentation. Many techniques have been proposed over the last few years, bringing the accuracy of automated segmentation clo…
View article: Increased right ventricular energy efficiency by 4DMR after harmony valve implantation
Increased right ventricular energy efficiency by 4DMR after harmony valve implantation Open
View article: A deep-learning approach for direct whole-heart mesh reconstruction
A deep-learning approach for direct whole-heart mesh reconstruction Open
View article: Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations
Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations Open
Image-based computer simulation of cardiac function can be used to probe the mechanisms of (patho)physiology, and guide diagnosis and personalized treatment of cardiac diseases. This paradigm requires constructing simulation-ready meshes o…
View article: Simulation of Cardiac Flow: Analysis of Geometry Simplification
Simulation of Cardiac Flow: Analysis of Geometry Simplification Open
Cardiovascular diseases (CVDs) are the leading causes of mortality worldwide. The contraction and relaxation of left ventricle (LV) is the main driving force of blood circulation. Altered LV hemodynamics is believed to be associated with t…
View article: Rotman Lens-Fed Fabry-Perot Resonator Antennas for Generating Converged Multi-Mode OAM Beams
Rotman Lens-Fed Fabry-Perot Resonator Antennas for Generating Converged Multi-Mode OAM Beams Open
In this paper, we present a Rotman lens-fed Fabry-Perot resonator antennas (FPRA) for generating multi-mode OAM beams with low beam divergence. The Rotman lens works as a beamforming network in the FPRA for the multi-mode OAM operation, si…
Finite element analysis of annuloplasty and papillary muscle relocation on a patient-specific mitral regurgitation model Open
View article: Finite Element Analysis of Tricuspid Valve Deformation from Multi-slice Computed Tomography Images
Finite Element Analysis of Tricuspid Valve Deformation from Multi-slice Computed Tomography Images Open
View article: Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images Open
To conduct a patient‐specific computational modeling of the aortic valve, 3‐D aortic valve anatomic geometries of an individual patient need to be reconstructed from clinical 3‐D cardiac images. Currently, most of computational studies inv…