whucsu

Pinned Repositories

2023_Amrute_et_al_NatureCVR_CardiacRecovery
Language:Jupyter Notebook0 0 00
4D-Myocardium-Reconstruction-with-Decoupled-Motion-and-Shape-Model
This repository contains the code for the ICCV'2023 paper "4D Myocardium Reconstruction with Decoupled Motion and Shape Model".
Language:Python0 0 00
4DHeartModel
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.
Language:Jupyter Notebook0 0 00
AAF-for-PINNs
Source Code-Simple yet effective adaptive activation functions for physics-informed neural networks
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ABHG
Language:Python0 0 00
ABP_estimation
Aortic blood pressure waveform is estimated from aortic flow velocity, aortic diameter and peripheral pressure waveforms.
Language:MATLAB00
AI-Lorenz
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aiecg_diastolic_function
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure
Language:Python0 0 00
Deep-Ultrafast-Echocardiography
Language:Jupyter Notebook1 0 00
RBF-PINN
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whucsu's Repositories

whucsu/ABP_estimation
Aortic blood pressure waveform is estimated from aortic flow velocity, aortic diameter and peripheral pressure waveforms.
Language:MATLAB00
whucsu/ASD-AtrialSeptalDefect
The display and code for Paper “Echocardiography-based AI for Detection and Measurement of Atrial Septal Defect”.
Language:Jupyter Notebook0 0 00
whucsu/Cardio-PINN
Code and data in support of publication on Cardiac PINN
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whucsu/cardioEM-MAP
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
whucsu/CFD_Machine_Learning
whucsu/DL-surrogate-CFD-LAA
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
Language:Python0 0
whucsu/echo-strain
Language:Jupyter Notebook0 0
whucsu/EchoBot
An open-source robotic ultrasound system
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whucsu/heArt_LVAD
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whucsu/ML_Project2
whucsu/myofe_training_notebooks
Series of Jupyter notebooks to build up FEniCS capabilities to understand the MyoFE framework
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whucsu/MyoFE_Vis
A repository for visualizing results from MyoFE
whucsu/NSFnets
PINN in solving Navier–Stokes equation
Language:Python0 0
whucsu/PINNs-for-Cardiac-EP
Physics-Inspired Neural Networks (PINNs) for cardiac electrophysiology characterization.
Language:Python0 0
whucsu/VAD-0D-DNN
Code for paper "Deep Neural Network to Accurately Predict Left Ventricular Systolic Function Under Mechanical Assistance", Bonnemain et al.