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2023_amrute_et_al_naturecvr_cardiacrecovery

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".

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.

abhg

abp_estimation

Aortic blood pressure waveform is estimated from aortic flow velocity, aortic diameter and peripheral pressure waveforms.

aiecg_diastolic_function

Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure

ar-detection-with-ecg

The repository of the source code of "Correlating Electrocardiograms with Echocardiographic Parameters in Hemodynamically-Significant Aortic Regurgitation Using Deep Learning"

asd-atrialseptaldefect

The display and code for Paper “Echocardiography-based AI for Detection and Measurement of Atrial Septal Defect”.

atlasnet

This is the implementation of the pytorch version of AtlasNet.

bp-benchmark

A Benchmark for Machine-Learning based Non-Invasive Blood Pressure Estimation using Photoplethysmogram

bpinn_for_system_identification

Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems

bpinns

burgerevopinn

Deep Learning Based Solution of Nonlinear Partial Differential Equations Arising in the Process of Arterial Blood flow

cardiac-ultrasound-image-segmentation-and-stroke-volume-estimation

cardiac_ho_uqsa

Left Ventricle Passive Filling - Holzapfel-Ogden Model - Uncertainty Quantification and Sensitivity Analysis

cardio-pinn

Code and data in support of publication on Cardiac PINN

cardioem-4ch

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

cardioem-map

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

cardioml_paramestimators

cardiopinn

Official Codebase for "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"

cardiovascularavatar_t2d_ht

cfd_machine_learning

diffeqgpu.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

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

dnn_fem_integration

ecgmatch

echo-based-cardiac-function-assessment

Graduation Project 2024

echo-strain

echobot

An open-source robotic ultrasound system

echoclr

"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