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This repository contains the code for the ICCV'2023 paper "4D Myocardium Reconstruction with Decoupled Motion and Shape Model".
Framework to enable the inference of a high resolution personalized 4D (3D plus time) surface mesh of the cardiac structures from 2D echocardiography video data.
Aortic blood pressure waveform is estimated from aortic flow velocity, aortic diameter and peripheral pressure waveforms.
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure
The repository of the source code of "Correlating Electrocardiograms with Echocardiographic Parameters in Hemodynamically-Significant Aortic Regurgitation Using Deep Learning"
The display and code for Paper “Echocardiography-based AI for Detection and Measurement of Atrial Septal Defect”.
This is the implementation of the pytorch version of AtlasNet.
A Benchmark for Machine-Learning based Non-Invasive Blood Pressure Estimation using Photoplethysmogram
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems
Deep Learning Based Solution of Nonlinear Partial Differential Equations Arising in the Process of Arterial Blood flow
Left Ventricle Passive Filling - Holzapfel-Ogden Model - Uncertainty Quantification and Sensitivity Analysis
Code and data in support of publication on Cardiac PINN
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
Official Codebase for "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
All the code available to reproduce the paper "Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage" from STACOM 2019
Graduation Project 2024
An open-source robotic ultrasound system
"Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning" by Gregory Holste, Evangelos Oikonomou, Bobak Mortazavi, Zhangyang Wang, and Rohan Khera
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.