Phase spectrum prediction of audio signals. - Ali Bahrami Rad; Tuomas Virtanen (ISCCSP, 2012)

Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (CinC, 2013)

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. - Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (ICASSP, 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-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. - Ali Bahrami Rad; Trygve Eftestøl; Kjersti Engan; Unai Irusta; Jan Terje Kvaløy; Jo Kramer-Johansen; Lars Wik; Aggelos K. Katsaggelos (IEEE Trans. Biomed. Eng., 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)

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

Spectro-Temporal ECG Analysis for atrial fibrillation Detection. - Zheng Zhao 004; Simo Särkkä; Ali Bahrami Rad (MLSP, 2018)

EEG-based Classification of Microsleep by Means of Feature Selection: An Application in Aviation. - Bijay Guragain; Ali Bahrami Rad; Chunwu Wang; Ajay K. Verma; Lewis Archer; Nicholas Wilson; Kouhyar Tavakolian (EMBC, 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)

A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. - Trygve Eftestøl; Svein E. Stokka; Jan Terje Kvaløy; Ali Bahrami Rad; Unai Irusta; Elisabete Aramendi; Erik Alonso; Trond Nordseth; Eirik Skogvoll; Lars Wik; Jo Kramer-Johansen (CinC, 2020)

Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. - Haizea Lasa; Unai Irusta; Trygve Eftestøl; Elisabete Aramendi; Ali Bahrami Rad; Jo Kramer-Johansen; Lars Wik (CinC, 2020)

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. - Matthew A. Reyna; Erick Andres Perez-Alday; Annie Gu; Chengyu Liu 001; Salman Seyedi; Ali Bahrami Rad; Andoni Elola; Qiao Li 011; Ashish Sharma 001; Gari D. Clifford (CinC, 2020)

Machine Learning Methods for Neonatal Mortality and Morbidity Classification. - Joel Jaskari; Janne Myllärinen; Markus Leskinen; Ali Bahrami Rad; Jaakko Hollmén; Sture Andersson; Simo Särkkä (IEEE Access, 2020)

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. - Ayse S. Cakmak; Nina Thigpen; Garrett Honke; Erick Andres Perez-Alday; Ali Bahrami Rad; Rebecca Adaimi; Chia-Jung Chang; Qiao Li 011; Pramod Gupta; Thomas Neylan; Samuel A. McLean; Gari D. Clifford (CoRR, 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)

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. - Zheng Zhao 004; Simo Särkkä; Ali Bahrami Rad (J. Signal Process. Syst., 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)

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. - Matthew A. Reyna; Nadi Sadr; Erick Andres Perez-Alday; Annie Gu; Amit J. Shah; Chad Robichaux; Ali Bahrami Rad; Andoni Elola; Salman Seyedi; Sardar Ansari; Hamid Ghanbari; Qiao Li 011; et al. (CinC, 2021)

Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models. - Ismail Sadiq; Erick Andres Perez-Alday; Amit J. Shah; Ali Bahrami Rad; Reza Sameni; Gari D. Clifford (CoRR, 2021)

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. - Ayse S. Cakmak; Erick Andres Perez-Alday; Giulia Da Poian; Ali Bahrami Rad; Thomas J. Metzler; Thomas Neylan; Stacey L. House; Francesca L. Beaudoin; Xinming An; Jennifer S. Stevens; Donglin Zeng; Sarah D. Linnstaedt; et al. (IEEE J. Biomed. Health Informatics, 2021)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 2022)

Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment. - Chaitra Hegde; Ali Bahrami Rad; Reza Sameni; Gari David Clifford (IEEE J. Sel. Top. Signal Process., 2022)

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. - Jorge Oliveira 002; Francesco Renna; Paulo Dias Costa; Diogo Marcelo Nogueira; Cristina Oliveira; Carlos Abreu Ferreira; Alípio Mário Jorge; Sandra da Silva Mattos; Thamine Hatem; Thiago Tavares; Andoni Elola; Ali Bahrami Rad; et al. (IEEE J. Biomed. Health Informatics, 2022)

A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. - Trygve Eftestøl; Mari A Hognestad; Sander A. Søndeland; Ali Bahrami Rad; Elisabete Aramendi; Lars Wik; Jo Kramer-Johansen (CinC, 2023)

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. - Matthew A. Reyna; Edilberto Amorim; Reza Sameni; James Weigle; Andoni Elola; Ali Bahrami Rad; Salman Seyedi; Hyeokhyen Kwon; Wei-Long Zheng; Mohammad M. Ghassemi; Michel J. A. M. van Putten; Jeannette Hofmeijer; et al. (CinC, 2023)

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. - Mircea Dumitru; Qiao Li 011; Erick Andres Perez-Alday; Ali Bahrami Rad; Gari D. Clifford; Reza Sameni (CoRR, 2023)

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. - Andoni Elola; Elisabete Aramendi; Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra; Matthew A. Reyna; Reza Sameni; Gari D. Clifford; Ali Bahrami Rad (IEEE J. Biomed. Health Informatics, 2023)

Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis. - Barun Das; Conor Anderson; Tania Villavicencio; Johanna Lantz; Jenny Foster; Theresa Hamlin; Ali Bahrami Rad; Gari D. Clifford; Hyeokhyen Kwon (CoRR, 2024)

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. - Zifan Jiang; Salman Seyedi; Emily Griner; Ahmed Abbasi; Ali Bahrami Rad; Hyeokhyen Kwon; Robert O. Cotes; Gari D. Clifford (IEEE J. Biomed. Health Informatics, 2024)

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. - Ali Bahrami Rad; Miguel Kirsch; Qiao Li 011; Joel Xue; Reza Sameni; Dave Albert; Gari D. Clifford (Sensors, 2024)

Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. - Yashar Kiarashi; Pradyumna B. Suresha; Ali Bahrami Rad; Matthew A. Reyna; Conor Anderson; Jenny Foster; Johanna Lantz; Tania Villavicencio; Theresa Hamlin; Gari D. Clifford (IEEE J. Biomed. Health Informatics, 2024)