Web-based parametric aortic leaflet generator
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Updated
Feb 17, 2020 - JavaScript
Web-based parametric aortic leaflet generator
Analysis of 10- and 30-year predicted CVD risk among JHS participants
Cardiovascular Risk Prediction - Classification
MARISSA - Magnetic Resonance Imaging Software for Standardization
Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.
Analysis scripts for the manuscript: "Spatial transcriptomics unveils ZBTB11 as a regulator of cardiomyocyte degeneration in arrhythmogenic cardiomyopathy".
Ping Lab Intern Project, Summar, 2022: Link prediction through Graph Neural Network (GNN) model over the Knowledgegraph in the interface of Cardiovascular Disease (CVD) and Drugs.
Maps the STAFF III Database of ECG data annotations file from one line per patient to one line per file
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
R code for the data managment and statistical analysis performed for Association between B-Blockers and Outcomes in HFpEF - Current Insights from the SwedeHF Registry.
An R shiny applet to visualise the scRNA-seq expression profiles of left ventricle human cardiac cells
CTAMACE is a web application which can be used to predict major cardiovascular events (MACE) two years following coronary multidetector computed tomography (MDCT) using combined anatomical coronary findings and clinical features
Cardioinformatics: the nexus of bioinformatics and precision cardiology
Cardiovascular-Health-Diagnostics — це віконний додаток, призначений для діагностики серцево-судинних порушень на основі результатів аналізів кардіограм. Цей інструмент може бути корисним як для медичних спеціалістів, так і для пацієнтів, допомагаючи вчасно виявляти можливі відхилення від норми та ініціювати відповідне лікування.
Optimization framework for automated patient-specific tuning of cardiovascular circulatory models
Work done during rotation with Coleen McNamara & Stefan Bekiranov in UVA BIMS PhD program
o²S²PARC implementation of the Cardiovascular Control model developed at the Daniel Baugh Institute, see [original repository](https://github.com/Daniel-Baugh-Institute/CardiovascularControl)
CVSim 1.16 cardiovascular simulation program converted entirely to Java.
App IAMCEST | Soluciones en Emergencias Cardiovasculares
CVSim 1.16 cardiovascular simulation with simulation of breathing and intrathoracic pressure and reflex effects of breathing added.
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