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Elham Bagheri
Elham Bagheri
Vector Institute for Artificial Intelligence
Verified email at vectorinstitute.ai
Title
Cited by
Cited by
Year
Automated detection of interictal epileptiform discharges from scalp electroencephalograms by convolutional neural networks
J Thomas, J Jin, P Thangavel, E Bagheri, R Yuvaraj, J Dauwels, ...
International journal of neural systems 30 (11), 2050030, 2020
812020
Interictal epileptiform discharge characteristics underlying expert interrater agreement
E Bagheri, J Dauwels, BC Dean, CG Waters, MB Westover, JJ Halford
Clinical Neurophysiology 128 (10), 1994-2005, 2017
402017
A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram
E Bagheri, J Jin, J Dauwels, S Cash, MB Westover
Journal of neuroscience methods 326, 108362, 2019
342019
Multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features
WY Peh, J Thomas, E Bagheri, R Chaudhari, S Karia, R Rathakrishnan, ...
International Journal of Neural Systems 31 (06), 2150016, 2021
142021
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: performance evaluation
C Lokker, E Bagheri, W Abdelkader, R Parrish, M Afzal, T Navarro, ...
Journal of Biomedical Informatics 142, 104384, 2023
132023
Classifier cascade to aid in detection of epileptiform transients in interictal EEG
E Bagheri, J Jin, J Dauwels, S Cash, MB Westover
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
82018
Fast and efficient rejection of background waveforms in interictal EEG
E Bagheri, J Jin, J Dauwels, S Cash, MB Westover
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
72016
Boosting efficiency in a clinical literature surveillance system with LightGBM
C Lokker, W Abdelkader, E Bagheri, R Parrish, C Cotoi, T Navarro, ...
PLOS Digital Health 3 (9), e0000299, 2024
42024
Tracking auditory mismatch negativity responses during full conscious state and coma
A Herrera-Diaz, R Boshra, P Tavakoli, CYA Lin, N Pajankar, E Bagheri, ...
Frontiers in Neurology 14, 1111691, 2023
42023
Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images
MK Pargi, E Bagheri, R Shirota, KE Huat, F Shishehchian, N Nathalie
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
42022
Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation
C Lokker, W Abdelkader, E Bagheri, R Parrish, C Cotoi, T Navarro, ...
medRxiv, 2023.06. 18.23291567, 2023
22023
Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG
R Yuvaraj, J Thomas, E Bagheri, J Dauwels, R Rathakrishnan, YL Tan
Handbook of Neuroengineering, 1-31, 2022
22022
Five-institution study of automated classification of pathological slowing from adult scalp electroencephalograms
WY Peh, J Thomas, E Bagheri, R Chaudhari, S Karia, R Rathakrishnan, ...
arXiv preprint arXiv:2009.13554, 2020
22020
bhaynes@ mcmaster. ca Haynes, Lingyang Chu, and Alfonso Iorio. 2023. Deep Learning to Refine the Identification of High-Quality Clinical Research Articles from the Biomedical …
C Lokker, E Bagheri, W Abdelkader, R Parrish, M Afzal, T Navarro-Ruan, ...
Journal of Biomedical Informatics 142 (05), 2023
12023
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
E Bagheri, Y Mohsenzadeh
arXiv preprint arXiv:2410.15235, 2024
2024
An Improved Machine Learning Based Biomarker for Characterizing Disorders of Consciousness
E Bagheri, J Reilly, P Tavakoli, A Herrera-Diaz, R Kolesar, J Connolly
BRAIN INJURY 36, 108-109, 2022
2022
Multivariate Decoding of Auditory Event-Related Potentials to Track Coma Progression
A Herrera-Diaz, R Kolesar, R Boshra, J Reilly, P Tavakoli, N Pajankar, ...
BRAIN INJURY 36, 114-114, 2022
2022
Automated detection of interictal epileptiform discharges in scalp electroencephalogram of patients with epilepsy
E Bagheri
2019
Modeling Visual Memorability Assessment: A Computational Approach Using Autoencoders
E Bagheri, Y Mohsenzadeh
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