| 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 | 58 | 2020 |
| 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 | 35 | 2017 |
| 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 | 29 | 2019 |
| 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 | 11 | 2021 |
| 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 | 4 | 2018 |
| 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 | 4 | 2016 |
| 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 | 2 | 2023 |
| Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation C Lokker, W Abdelkader, E Bagheri, P Rick, C Cotoi, T Navarro, F Germini, ... medRxiv, 2023.06. 18.23291567, 2023 | 1 | 2023 |
| 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 | | 2023 |
| 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 | | 2022 |
| 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 |
| 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 | | 2022 |
| Automated detection of interictal epileptiform discharges in scalp electroencephalogram of patients with epilepsy E Bagheri | | 2019 |
Justin DauwelsDelft University of TechnologyVerified email at tudelft.nl
