Morteza Zabihi

20 papers Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. CinC Morteza Zabihi, Alireza Chamanzar, Pulkit Grover, Eric S. Rosenthal
2021	—	`conf`	A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2021	J	`jnl`	Early Detection of Myocardial Infarction in Low-Quality Echocardiography. IEEE Access Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Ridha Hamila, Moncef Gabbouj
2020	—	`—`	Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning. Morteza Zabihi
2020	J	`jnl`	Early Detection of Myocardial Infarction in Low-Quality Echocardiography. CoRR Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Ridha Hamila, Moncef Gabbouj
2020	J	`jnl`	Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. IEEE Access Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj
2020	J	`jnl`	Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. CoRR Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj
2020	J	`jnl`	Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines. IEEE J. Biomed. Health Informatics Morteza Zabihi, Serkan Kiranyaz, Ville Jäntti, Tarmo Lipping, Moncef Gabbouj
2020	J	`jnl`	Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks. Neurocomputing Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj
2019	J	`jnl`	1D Convolutional Neural Network Models for Sleep Arousal Detection. CoRR Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Simo Särkkä, Moncef Gabbouj
2019	J	`jnl`	Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. CoRR Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä
2019	J	`jnl`	Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2019	—	`conf`	Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models. CinC Morteza Zabihi, Serkan Kiranyaz, Moncef Gabbouj
2018	—	`conf`	Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. CinC Morteza Zabihi, Ali Bahrami Rad, Simo Särkkä, Serkan Kiranyaz, Aggelos K. Katsaggelos, Moncef Gabbouj
2018	—	`conf`	ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
2018	—	`conf`	Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings. CinC Jussi Taipalmaa, Morteza Zabihi, Serkan Kiranyaz, Moncef Gabbouj
2017	—	`conf`	Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. CinC Morteza Zabihi, Ali Bahrami Rad, Aggelos K. Katsaggelos, Serkan Kiranyaz, Susanna Narkilahti, Moncef Gabbouj
2016	—	`conf`	Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation. CinC Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Moncef Gabbouj, Aggelos K. Katsaggelos
2014	J	`jnl`	Automated patient-specific classification of long-term Electroencephalography. J. Biomed. Informatics Serkan Kiranyaz, Turker Ince, Morteza Zabihi, Dilek Ince
2012	—	`conf`	Biometry based on EEG Signals using Neural Network and Support Vector Machine. BIOSIGNALS Hamid Bagherzadeh Rafsanjani, Mozafar Iqbal, Morteza Zabihi, Hideaki Touyama