Ali Bahrami Rad
Ali Bahrami Rad
Visiting Assistant Professor, Emory University
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Cited by
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
M Zabihi, AB Rad, S Kiranyaz, M Gabbouj, AK Katsaggelos
2016 Computing in Cardiology Conference (CinC), 613-616, 2016
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
M Zabihi, AB Rad, AK Katsaggelos, S Kiranyaz, S Narkilahti, M Gabbouj
2017 Computing in Cardiology (CinC), 1-4, 2017
Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020
EAP Alday, A Gu, AJ Shah, C Robichaux, AKI Wong, C Liu, F Liu, AB Rad, ...
Physiological measurement 41 (12), 124003, 2020
Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection
M Zabihi, S Kiranyaz, AB Rad, AK Katsaggelos, M Gabbouj, T Ince
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (3 …, 2015
ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis
AB Rad, T Eftestøl, K Engan, U Irusta, JT Kvaløy, J Kramer-Johansen, ...
IEEE Transactions on Biomedical Engineering 64 (10), 2411-2418, 2017
Spectro-temporal ECG analysis for atrial fibrillation detection
Z Zhao, S Särkkä, AB Rad
2018 IEEE 28Th international workshop on machine learning for signal …, 2018
Automatic cardiac rhythm interpretation during resuscitation
AB Rad, K Engan, AK Katsaggelos, JT Kvaløy, L Wik, J Kramer-Johansen, ...
Resuscitation 102, 44-50, 2016
Automatic cardiac rhythm classification with concurrent manual chest compressions
I Isasi, U Irusta, AB Rad, E Aramendi, M Zabihi, T Eftestøl, ...
IEEE Access 7, 115147-115159, 2019
Phase spectrum prediction of audio signals
AB Rad, T Virtanen
2012 5Th international symposium on communications, control and signal …, 2012
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
MA Reyna, EAP Alday, A Gu, C Liu, S Seyedi, AB Rad, A Elola, Q Li, ...
2020 Computing in Cardiology, 1-4, 2020
An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes
AB Rad, T Eftestøl, U Irusta, JT Kvaløy, L Wik, J Kramer-Johansen, ...
Resuscitation 122, 6-12, 2018
Kalman-based spectro-temporal ECG analysis using deep convolutional networks for atrial fibrillation detection
Z Zhao, S Särkkä, AB Rad
Journal of Signal Processing Systems 92 (7), 621-636, 2020
1d convolutional neural network models for sleep arousal detection
M Zabihi, AB Rad, S Kiranyaz, S Särkkä, M Gabbouj
arXiv preprint arXiv:1903.01552, 2019
Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks
S Kiranyaz, M Zabihi, AB Rad, A Tahir, T Ince, R Hamila, M Gabbouj
arXiv preprint arXiv:1902.07238, 2019
A Method for Designing the Double-Density Dual-Tree Discrete Wavelet Transform
B Dumitrescu, AB Rad
Proc. Int. TICSP Workshop on Local and Non-Local Approximation in Image …, 2008
Real-time phonocardiogram anomaly detection by adaptive 1D convolutional neural networks
S Kiranyaz, M Zabihi, AB Rad, T Ince, R Hamila, M Gabbouj
Neurocomputing 411, 291-301, 2020
Machine learning methods for neonatal mortality and morbidity classification
J Jaskari, J Myllärinen, M Leskinen, AB Rad, J Hollmén, S Andersson, ...
IEEE Access 8, 123347-123358, 2020
EEG-based classification of microsleep by means of feature selection: an application in aviation
B Guragain, AB Rad, C Wang, AK Verma, L Archer, N Wilson, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Automatic sleep arousal detection using state distance analysis in phase space
M Zabihi, AB Rad, S Särkkä, S Kiranyaz, AK Katsaggelos, M Gabbouj
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation
AB Rad, T Eftestøl, JT Kvaløy, U Ayala, J Kramer-Johansen, K Engan
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
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