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Ali Bahrami Rad
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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
2302020
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
1472016
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
1342017
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
1112015
Will two do? Varying dimensions in electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021
MA Reyna, N Sadr, EAP Alday, A Gu, AJ Shah, C Robichaux, AB Rad, ...
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
982021
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
832017
Classification of 12-lead ECGs: the PhysioNet
EA Perez Alday, A Gu, A Shah, C Robichaux, AKI Wong, C Liu, F Liu, ...
Computing in Cardiology challenge, 2020
642020
The CirCor DigiScope dataset: from murmur detection to murmur classification
J Oliveira, F Renna, PD Costa, M Nogueira, C Oliveira, C Ferreira, ...
IEEE journal of biomedical and health informatics 26 (6), 2524-2535, 2021
412021
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
272020
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
232018
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
192019
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
182020
Automatic cardiac rhythm interpretation during resuscitation
AB Rad, K Engan, AK Katsaggelos, JT Kvaløy, L Wik, J Kramer-Johansen, ...
Resuscitation 102, 44-50, 2016
182016
Heart murmur detection from phonocardiogram recordings: The George B
MA Reyna, Y Kiarashi, A Elola, J Oliveira, F Renna, A Gu, EA Perez-Alday, ...
Moody PhysioNet Challenge 2022, 2022
172022
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
162020
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
162019
Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022
MA Reyna, Y Kiarashi, A Elola, J Oliveira, F Renna, A Gu, EA Perez-Alday, ...
medRxiv, 2022
132022
Phase spectrum prediction of audio signals
AB Rad, T Virtanen
2012 5Th international symposium on communications, control and signal …, 2012
122012
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
102018
An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis
SA Sheikh, A Shah, O Levantsevych, M Soudan, J Alkhalaf, AB Rad, ...
Physiological measurement 41 (7), 075002, 2020
82020
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