Cardiacs - Wikipedia
Cardiacs are an English rock band formed in Kingston upon Thames by Tim Smith (guitar and lead vocals) and his brother Jim (bass, backing vocals) in 1977
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational M…
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac function in a non-invasive manner, making them a promising approach for personalized diagnosis and treatment planning of my-ocardial infarction (MI). The in...
Want to do cardiac but does it get better working with cardiac surgeons?
I really enjoy everything about cardiac but one of the surgeons we work with is so rude and has everyone walking on eggshells and stressed the entire time. Does this get better?...
chuckyee/cardiac-segmentation
Right Ventricle Cardiac MRI Segmentation (⭐ 277)
akshaybhatia10/Cardiac-Arrhythmia-ML
This repository contains the project files for the Capstone Project - Cardiac Arrhythmia ML as part of Udacity's Machine Learning Nanodegree. (⭐ 23)
Cardiac arrest - Wikipedia
Cardiac arrest, also known as sudden cardiac arrest (SCA), is a condition in which the heart suddenly and unexpectedly stops beating. When the heart stops
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients suffering from cardiac arrhythmia. Traditionally, diagnosis is performed by e...
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Car…
Understanding the movement of the left ventricle myocardium (LVmyo) during the cardiac cycle is essential for assessing cardiac function. One way to model this movement is through a series of deformable image registrations (DIRs) of the LVmyo. Tradit...
Cardiac surgery - Wikipedia
Cardiac surgery, or cardiovascular surgery, is a surgery on the heart or great vessels performed by cardiac surgeons. It is often used to treat complications
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
Conventional cardiac cine MRI methods rely on retrospective gating, which limits temporal resolution and the ability to capture continuous cardiac dynamics, particularly in patients with arrhythmias and beat-to-beat variations. To address these chall...
Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields
Cardiac cine MRI is the gold standard for cardiac functional assessment, but the inherently slow acquisition process creates the necessity of reconstruction approaches for accelerated undersampled acquisitions. Several regularization approaches that...
Cardiac marker - Wikipedia
infarction, other conditions can lead to an elevation in cardiac marker level. Cardiac markers are used for the diagnosis and risk stratification of patients
CardioFit: A WebGL-Based Tool for Fast and Efficient Parameterization of Cardiac Action Po…
Cardiac action potential models allow examination of a variety of cardiac dynamics, including how behavior may change under specific interventions. To study a specific scenario, including patient-specific cases, model parameter sets must be found tha...
Ungated, plug-and-play preclinical cardiac CEST-MRI using radial FLASH with segmented satu…
Purpose: ECG and respiratory-gated preclinical cardiac CEST-MRI acquisitions are difficult due to variable saturation recovery with T1, RF interference in the ECG signal, and offset-to-offset variation in Z-magnetization and cardiac phase introduced...
Three-dimensional assessment of susceptibility-induced signal voids caused by active cardi…
Recent technical advancements allow cardiac MRI (CMR) examinations in the presence of so-called MRI conditional active cardiac implants at 3.0T. However, the artifact burden caused by susceptibility effects remain an obstacle. All measurements were o...
Instant Preliminary Cardiac Analysis from Smartphone Auscultation: A Real-World Canine Hea…
This study presents a real-world canine heart sound dataset and evaluates SoNUS version 3.2.x, a machine learning algorithm for preliminary cardiac analysis using smartphone microphone recordings. More than one hundred recordings were collected from...
Estimation of Blood Flow Parameters in the Left Atrial Appendage from 4DCT Dynamic Contras…
Cardiac CT is often used clinically in electrophysiology to evaluate cardiac morphology. One such case is to evaluate patients with Atrial Fibrillation (AF). AF can cause regions of slow blood flow and blood stasis through the left atrial appendage (...
Rush-Larsen time-stepping methods of high order for stiff problems in cardiac electrophysi…
To address the issues of stability and accuracy for reaction-diffusion equations, the development of high order and stable time-stepping methods is necessary. This is particularly true in the context of cardiac electrophysiology, where reaction-...
About SADS – Sudden arrhythmic death syndrome
What is the difference between Sudden Arrhythmic Death Syndrome (SADS) & Sudden Cardiac Death (SCD)? Sudden cardiac death is a dramatic and/or spontaneous death that is thought to be (and …
Sudden arrhythmic death syndrome - Wikipedia
Sudden arrhythmic death syndrome (SADS) is the sudden and unexpected death of adolescents and adults caused by cardiac arrest. However, the exact cause of the cardiac arrest, and thus the exact …