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Morteza Zabihi
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2020 – today
- 2023
- [c9]Morteza Zabihi, Alireza Chamanzar, Pulkit Grover
, Eric S. Rosenthal:
HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. CinC 2023: 1-4 - 2021
- [j6]Aysen Degerli
, Morteza Zabihi, Serkan Kiranyaz
, Tahir Hamid
, Rashid Mazhar
, Ridha Hamila
, Moncef Gabbouj
:
Early Detection of Myocardial Infarction in Low-Quality Echocardiography. IEEE Access 9: 34442-34453 (2021) - [c8]Iraia Isasi, Erik Alonso
, Unai Irusta, Elisabete Aramendi
, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC 2021: 1-4 - 2020
- [b1]Morteza Zabihi:
Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning. University of Tampere, Finland, 2020 - [j5]Serkan Kiranyaz
, Aysen Degerli
, Tahir Hamid
, Rashid Mazhar
, Rayyan Ahmed
, Rayaan Abouhasera
, Morteza Zabihi
, Junaid Malik
, Ridha Hamila
, Moncef Gabbouj
:
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. IEEE Access 8: 210301-210317 (2020) - [j4]Serkan Kiranyaz
, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj
:
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks. Neurocomputing 411: 291-301 (2020) - [j3]Morteza Zabihi
, Serkan Kiranyaz
, Ville Jäntti, Tarmo Lipping
, Moncef Gabbouj
:
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines. IEEE J. Biomed. Health Informatics 24(2): 543-555 (2020) - [i4]Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar
, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj:
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. CoRR abs/2008.04615 (2020) - [i3]Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Ridha Hamila, Moncef Gabbouj:
Early Detection of Myocardial Infarction in Low-Quality Echocardiography. CoRR abs/2010.02281 (2020)
2010 – 2019
- 2019
- [j2]Iraia Isasi
, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi
, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access 7: 115147-115159 (2019) - [c7]Morteza Zabihi, Serkan Kiranyaz
, Moncef Gabbouj
:
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models. CinC 2019: 1-4 - [i2]Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Simo Särkkä, Moncef Gabbouj:
1D Convolutional Neural Network Models for Sleep Arousal Detection. CoRR abs/1903.01552 (2019) - [i1]Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä:
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. CoRR abs/1909.02971 (2019) - 2018
- [c6]Iraia Isasi
, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC 2018: 1-4 - [c5]Jussi Taipalmaa
, Morteza Zabihi, Serkan Kiranyaz
, Moncef Gabbouj
:
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings. CinC 2018: 1-4 - [c4]Morteza Zabihi, Ali Bahrami Rad, Simo Särkkä, Serkan Kiranyaz
, Aggelos K. Katsaggelos
, Moncef Gabbouj
:
Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. CinC 2018: 1-4 - 2017
- [c3]Morteza Zabihi, Ali Bahrami Rad
, Aggelos K. Katsaggelos
, Serkan Kiranyaz
, Susanna Narkilahti, Moncef Gabbouj
:
Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. CinC 2017 - 2016
- [c2]Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Moncef Gabbouj, Aggelos K. Katsaggelos:
Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation. CinC 2016 - 2014
- [j1]Serkan Kiranyaz
, Turker Ince
, Morteza Zabihi
, Dilek Ince
:
Automated patient-specific classification of long-term Electroencephalography. J. Biomed. Informatics 49: 16-31 (2014) - 2012
- [c1]Hamid Bagherzadeh Rafsanjani, Mozafar Iqbal, Morteza Zabihi, Hideaki Touyama:
Biometry based on EEG Signals using Neural Network and Support Vector Machine. BIOSIGNALS 2012: 374-380
Coauthor Index

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