| 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 | 396 | 2020 |
| 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 | 198 | 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 | 177 | 2017 |
| 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 | 169 | 2021 |
| 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 | 141 | 2015 |
| 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 | 122 | 2021 |
| 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 | 104 | 2017 |
| 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, ... PLOS Digital Health 2 (9), e0000324, 2023 | 92 | 2023 |
| 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, 1-4, 2020 | 71 | 2020 |
| Predicting neurological recovery from coma after cardiac arrest: The George B. Moody PhysioNet Challenge 2023 MA Reyna, E Amorim, R Sameni, J Weigle, A Elola, AB Rad, S Seyedi, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | 54 | 2023 |
| 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 | 51 | 2020 |
| 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 | 43 | 2020 |
| Issues in the automated classification of multilead ECGs using heterogeneous labels and populations MA Reyna, N Sadr, EAP Alday, A Gu, AJ Shah, C Robichaux, AB Rad, ... Physiological measurement 43 (8), 084001, 2022 | 30 | 2022 |
| 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 | 28 | 2019 |
| 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 | 28 | 2018 |
| Will two do? varying dimensions in electrocardiography: the physionet/computing in cardiology challenge 2021. In 2021 Computing in Cardiology (CinC) MA Reyna, N Sadr, EAP Alday, A Gu, AJ Shah, C Robichaux, AB Rad, ... CinC, 1-4, 2021 | 22 | 2021 |
| 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 | 22 | 2020 |
| 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 AS Cakmak, EAP Alday, G Da Poian, AB Rad, TJ Metzler, TC Neylan, ... IEEE journal of biomedical and health informatics 25 (8), 2866-2876, 2021 | 21 | 2021 |
| Automatic cardiac rhythm interpretation during resuscitation AB Rad, K Engan, AK Katsaggelos, JT Kvaløy, L Wik, J Kramer-Johansen, ... Resuscitation 102, 44-50, 2016 | 20 | 2016 |
| 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 | 19 | 2019 |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of Technology在 physionet.org 的电子邮件经过验证
