Ali Bahrami Rad

Orcid: 0000-0002-5654-4301

According to our database1, Ali Bahrami Rad authored at least 32 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.
IEEE J. Biomed. Health Informatics, March, 2024

2023
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.
IEEE J. Biomed. Health Informatics, August, 2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising.
CoRR, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023

A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients.
Proceedings of the Computing in Cardiology, 2023

2022
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.
IEEE J. Biomed. Health Informatics, 2022

Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment.
IEEE J. Sel. Top. Signal Process., 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022

2021
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 J. Biomed. Health Informatics, 2021

Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models.
CoRR, 2021

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
J. Signal Process. Syst., 2020

Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks.
Neurocomputing, 2020

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.
CoRR, 2020

Machine Learning Methods for Neonatal Mortality and Morbidity Classification.
IEEE Access, 2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
Proceedings of the Computing in Cardiology, 2020

Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation.
Proceedings of the Computing in Cardiology, 2020

A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2020

2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR, 2019

1D Convolutional Neural Network Models for Sleep Arousal Detection.
CoRR, 2019

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions.
IEEE Access, 2019

EEG-based Classification of Microsleep by Means of Feature Selection: An Application in Aviation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Spectro-Temporal ECG Analysis for atrial fibrillation Detection.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis.
Proceedings of the Computing in Cardiology, 2018

ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers.
Proceedings of the Computing in Cardiology, 2018

2017
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017

Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier.
Proceedings of the Computing in Cardiology, 2017

2016
Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2014
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation.
Proceedings of the Computing in Cardiology, 2013

2012
Phase spectrum prediction of audio signals.
Proceedings of the 5th International Symposium on Communications, 2012


  Loading...