Area of research
Cardiology and Cardiovascular Medicine · Pulmonary and Respiratory Medicine
Research interest
Research interests include ECG Monitoring and Analysis, Cardiac electrophysiology and arrhythmias, Cardiovascular Function and Risk Factors, and Phonocardiography and Auscultation Techniques.
Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study
Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
Evaluating regression and probabilistic methods for ECG-based electrolyte prediction
Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study
Association of lifestyle with deep learning predicted electrocardiographic age
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
Knowledge Discovery with Electrocardiography Using Interpretable Deep Neural Networks
Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy 1.0: fundamental algorithms for scientific computing in Python