Ali Bahrami Rad

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Atrial Fibrillation

Machine Learning

Convolutional Neural Networks

Anomaly Detection

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon
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. CoRR (2024)
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. CoRR (2023)
Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. CinC (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, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC (2023)
Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Jorge Oliveira, 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, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. CinC (2022)
Chaitra Hegde, Ali Bahrami Rad, Reza Sameni, Gari David Clifford
Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram. CoRR (2022)
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)
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, Ashish Sharma, Gari D. Clifford
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. CinC (2021)
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, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, Christopher A. Lewandowski, Phyllis L. Hendry, Sophia Sheikh, Alan B. Storrow, Paul I. Musey, John P. Haran, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Meghan McGrath, Mark J. Seamon, Kamran Mohiuddin, Anna M. Chang, Claire Pearson, Robert M. Domeier, Steven E. Bruce, Brian J. O'Neil, Niels K. Rathlev, Leon D. Sanchez, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Kerry J. Ressler, Samuel A. McLean, Qiao Li, Gari D. Clifford
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. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio M. Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. CoRR (2021)
Ismail Sadiq, Erick Andres Perez-Alday, Amit J. Shah, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models. CoRR (2021)
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
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. CinC (2020)
Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. CinC (2020)
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. J. Signal Process. Syst. 92 (7) (2020)
Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC (2020)
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 (2020)
Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access 8 (2020)
Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR (2020)
Bijay Guragain, Ali Bahrami Rad, Chunwu Wang, Ajay K. Verma, Lewis Archer, Nicholas Wilson, Kouhyar Tavakolian
EEG-based Classification of Microsleep by Means of Feature Selection: An Application in Aviation. EMBC (2019)
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 (2019)
Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Simo Särkkä, Moncef Gabbouj
1D Convolutional Neural Network Models for Sleep Arousal Detection. CoRR (2019)
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 (2019)
Morteza Zabihi, Ali Bahrami Rad, Simo Särkkä, Serkan Kiranyaz, Aggelos K. Katsaggelos, Moncef Gabbouj
Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. CinC (2018)
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)
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. CoRR (2018)
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
Spectro-Temporal ECG Analysis for atrial fibrillation Detection. MLSP (2018)
Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. 64 (10) (2017)
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)
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)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP (2014)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. CinC (2013)
Ali Bahrami Rad, Tuomas Virtanen
Phase spectrum prediction of audio signals. ISCCSP (2012)