An Android app for recording hypertension-related data.

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

The web app behind Simple.org

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

1D blood flow model

R package for Cardiovascular Risk Dataset and Data generation script

A collection of papers published in MICCAI 2024 with their code.

Cardioinformatics: the nexus of bioinformatics and precision cardiology

Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images

BD2K Workshop for exploring predictive variables in Cardiovascular Risk

Cardiovascular Risk Prediction - Classification

Code used for data analysis of drug repurposing approach to target inflammation in atherosclerosis

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

Cost-Effectiveness of a Workplace Ban on Sugar-Sweetened Beverage Sales

Predicting First-Year Survival after Percutaneous Coronary Interventions: A Machine Learning-Based ShinyApp Web Application in R

CardioPulse ❤️🩺 is an Android app using machine learning to predict cardiovascular (heart) diseases. Created as a final year project by University of Sialkot students, it combines predictive modeling with Firebase cloud storage. The app offers personalized health assessments and intuitive tracking for early detection and better health outcomes.

A neural network for image segmentation of cardiovascular anatomies. MOVED to AIS Training Codeset, Jan 3, 2020.

Maps the STAFF III Database of ECG data annotations file from one line per patient to one line per file

Web-based parametric aortic leaflet generator

A Comparison Of Machine Learning Models And Artificial Neural Networks For Detecting The Presence Of Cardiovascular Disease