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Ali Bahrami Rad

Emory University · US
Area of research
Cardiology and Cardiovascular Medicine · Emergency Medicine
Research interest
Research interests include ECG Monitoring and Analysis, Heart Rate Variability and Autonomic Control, Cardiac Arrest and Resuscitation, and Cardiac electrophysiology and arrhythmias.
h-index
22
citations
2,357
works
104
NIH funding
primary concept
email

Recent publications

From sleep patterns to heart rhythm: Predicting atrial fibrillation from overnight polysomnograms
Journal of Electrocardiology 2024cited by 5position: middledoi
Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
PLOS Digital Health 2023cited by 63position: middledoi
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram
IEEE Journal of Biomedical and Health Informatics 2023cited by 25position: lastdoi
Issues in the automated classification of multilead ecgs using heterogeneous labels and populations
Physiological Measurement 2022cited by 44position: middledoi
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
IEEE Journal of Biomedical and Health Informatics 2021cited by 196position: middledoi
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021
2021 Computing in Cardiology (CinC) 2021cited by 192position: middledoi
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort
IEEE Journal of Biomedical and Health Informatics 2021cited by 32position: middledoi
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Physiological Measurement 2020cited by 392position: middledoi
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Computing in cardiology 2020cited by 66position: middledoi
Machine Learning Methods for Neonatal Mortality and Morbidity Classification
IEEE Access 2020cited by 58position: middledoi
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Neurocomputing 2020cited by 55position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Gari D. Clifford · Georgia Institute of Technology8 papers (2020–2024)Andoni Elola · University of the Basque Country7 papers (2020–2023)Matthew A. Reyna · Emory University7 papers (2020–2024)Annie Gu · Emory University5 papers (2020–2023)Erick Andres Perez Alday · Emory University5 papers (2020–2023)Ashish Sharma · Roche (India)5 papers (2020–2023)Reza Sameni · Georgia Institute of Technology4 papers (2021–2024)Chad Robichaux · Emory University3 papers (2020–2022) · 3 papers (2021–2023)Nadi Sadr · ResMed (Netherlands)3 papers (2021–2023) · 3 papers (2021–2023) · 3 papers (2021–2023)Amit Shah · Northwestern University3 papers (2020–2022)Chengyu Liu · Central South University2 papers (2020–2020)Qiao Li · Harbin Medical University2 papers (2020–2022)Hamid Ghanbari · University of Michigan–Ann Arbor2 papers (2021–2022)Sandra da Silva Mattos · Hospital for Sick Children2 papers (2021–2023)Sardar Ansari · Virginia Commonwealth University2 papers (2021–2022) · 1 papers (2020–2020) · 1 papers (2024–2024)