Biometry based on EEG Signals using Neural Network and Support Vector Machine. - Hamid Bagherzadeh Rafsanjani; Mozafar Iqbal; Morteza Zabihi; Hideaki Touyama (BIOSIGNALS, 2012)

Automated patient-specific classification of long-term Electroencephalography. - Serkan Kiranyaz; Turker Ince; Morteza Zabihi; Dilek Ince (J. Biomed. Informatics, 2014)

Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation. - Morteza Zabihi; Ali Bahrami Rad; Serkan Kiranyaz; Moncef Gabbouj; Aggelos K. Katsaggelos (CinC, 2016)

Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. - Morteza Zabihi; Ali Bahrami Rad; Aggelos K. Katsaggelos; Serkan Kiranyaz; Susanna Narkilahti; Moncef Gabbouj (CinC, 2017)

ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. - Iraia Isasi; Ali Bahrami Rad; Unai Irusta; Morteza Zabihi; Elisabete Aramendi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (CinC, 2018)

Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings. - Jussi Taipalmaa; Morteza Zabihi; Serkan Kiranyaz; Moncef Gabbouj (CinC, 2018)

Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. - Morteza Zabihi; Ali Bahrami Rad; Simo Särkkä; Serkan Kiranyaz; Aggelos K. Katsaggelos; Moncef Gabbouj (CinC, 2018)

Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models. - Morteza Zabihi; Serkan Kiranyaz; Moncef Gabbouj (CinC, 2019)

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. - Iraia Isasi; Unai Irusta; Ali Bahrami Rad; Elisabete Aramendi; Morteza Zabihi; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (IEEE Access, 2019)

1D Convolutional Neural Network Models for Sleep Arousal Detection. - Morteza Zabihi; Ali Bahrami Rad; Serkan Kiranyaz; Simo Särkkä; Moncef Gabbouj (CoRR, 2019)

Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. - Ali Bahrami Rad; Morteza Zabihi; Zheng Zhao 004; Moncef Gabbouj; Aggelos K. Katsaggelos; Simo Särkkä (CoRR, 2019)

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. - Serkan Kiranyaz; Aysen Degerli; Tahir Hamid; Rashid Mazhar; Rayyan Ahmed; Rayaan Abouhasera; Morteza Zabihi; Junaid Malik; Ridha Hamila; Moncef Gabbouj (IEEE Access, 2020)

Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks. - Serkan Kiranyaz; Morteza Zabihi; Ali Bahrami Rad; Turker Ince; Ridha Hamila; Moncef Gabbouj (Neurocomputing, 2020)

Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines. - Morteza Zabihi; Serkan Kiranyaz; Ville Jäntti; Tarmo Lipping; Moncef Gabbouj (IEEE J. Biomed. Health Informatics, 2020)

Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning. - Morteza Zabihi (2020)

A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. - Iraia Isasi; Erik Alonso; Unai Irusta; Elisabete Aramendi; Morteza Zabihi; Ali Bahrami Rad; Trygve Eftestøl; Jo Kramer-Johansen; Lars Wik (CinC, 2021)

Early Detection of Myocardial Infarction in Low-Quality Echocardiography. - Aysen Degerli; Morteza Zabihi; Serkan Kiranyaz; Tahir Hamid; Rashid Mazhar; Ridha Hamila; Moncef Gabbouj (IEEE Access, 2021)

HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. - Morteza Zabihi; Alireza Chamanzar; Pulkit Grover; Eric S. Rosenthal (CinC, 2023)