Lab website

An Android app for recording hypertension-related data.

The web app behind Simple.org

Free open source Model Library designed to evaluate human physiological evolution in adulthood, childhood, neonatal and fetal life in the face of the occurrence of cardiovascular and respiratory anomalies or different clinical practices.

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

A Physiology-Informed ECG Delineation Algorithm Based on Peak Prominence

1D blood flow model

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.

Analysis of 10- and 30-year predicted CVD risk among JHS participants

MARISSA - Magnetic Resonance Imaging Software for Standardization

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

Analysis of patient data from a kaggle dataset to assess if tall people's risk of developing cardiovascular disease was higher than short people's.

LaTeX source file for my Computer Science Thesis "Clinical Data Management Processes and Predictive Machine Learning Models Development for Diagnosis and Rehabilitation in the Cardiovascular Domain", which spans over 100 pages. Research was conducted in collaboration with the multinational company Dedalus

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.

Disease Prediction and Analyzation of attributes

o²S²PARC implementation of the Cardiovascular Control model developed at the Daniel Baugh Institute, see [original repository](https://github.com/Daniel-Baugh-Institute/CardiovascularControl)

Cardiovascular Risk Prediction - Classification

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

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

Work done during rotation with Coleen McNamara & Stefan Bekiranov in UVA BIMS PhD program