| 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 | 213 | 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 | 186 | 2017 |
| 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 | 155 | 2015 |
| Automated patient-specific classification of long-term electroencephalography S Kiranyaz, T Ince, M Zabihi, D Ince Journal of biomedical informatics 49, 16-31, 2014 | 93 | 2014 |
| Early Detection of Myocardial Infarction in Low-Quality Echocardiography A Degerli, M Zabihi, S Kiranyaz, T Hamid, R Mazhar, R Hamila, ... IEEE Access 9, 34442-34453, 2021 | 77 | 2021 |
| Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines M Zabihi, S Kiranyaz, V Jäntti, T Lipping, M Gabbouj IEEE journal of biomedical and health informatics 24 (2), 543-555, 2019 | 61 | 2019 |
| 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 | 48 | 2020 |
| Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models M Zabihi, S Kiranyaz, M Gabbouj 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 46 | 2019 |
| Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection S Kiranyaz, A Degerli, T Hamid, R Mazhar, REF Ahmed, R Abouhasera, ... IEEE Access 8, 210301-210317, 2020 | 39 | 2020 |
| Patient-specific epileptic seizure detection in long-term EEG recording in paediatric patients with intractable seizures M Zabihi, S Kiranyaz, T Ince, M Gabbouj IET Digital Library, 2013 | 33 | 2013 |
| 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 | 32 | 2019 |
| 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 |
| Sepsis prediction in intensive care unit using ensemble of XGboost models. in 2019 Computing in Cardiology (CinC) M Zabihi, S Kiranyaz, M Gabbouj IEEE, Page–1, 2019 | 14 | 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 | 12 | 2019 |
| Learned vs. hand-designed features for ECG beat classification: A comprehensive study T Ince, M Zabihi, S Kiranyaz, M Gabbouj EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018 | 10 | 2018 |
| 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 | 9 | 2018 |
| ECG rhythm analysis during manual chest compressions using an artefact removal filter and random forest classifiers I Isasi, AB Rad, U Irusta, M Zabihi, E Aramendi, T Eftestøl, ... 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 9 | 2018 |
| Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network AB Rad, M Zabihi, Z Zhao, M Gabbouj, AK Katsaggelos, S Särkkä arXiv preprint arXiv:1909.02971, 2019 | 7 | 2019 |
| HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest M Zabihi, AC Zar, P Grover, ES Rosenthal 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | 5 | 2023 |
| Feasibility of video/audio monitoring in the analysis of motion and treatment effects on night-time seizures – interventional study P Ojanen, M Zabihi, A Knight, R Roivanen, S Lamusuo, J Peltola Epilepsy Research, 2022 | 5 | 2022 |
Serkan KiranyazProfessor in Electrical Engineering Department, Qatar UniversityVerified email at qu.edu.qa