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In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
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Bou Assi, E., Schindler, K., de Bézenac, C., Denison, T., Desai, S., Keller, S. S., Lemoine, É., Rahimi, A., Shoaran, M., & Rummel, C. (2023). From Basic Sciences and Engineering to Epileptology: A Translational Approach. Epilepsia, 37 pages. External link
Bou Assi, E., Zerouali, Y., Robert, M., Lesage, F., Pouliot, P., & Nguyen, D. K. (2020). Large-scale desynchronization during interictal epileptic discharges recorded with intracranial EEG. Frontiers in Neurology, 11, 529460 (12 pages). Available
Bou Assi, E., Rihana, S., Nguyen, D. K., & Sawan, M. (2019). Effective connectivity analysis of iEEG and accurate localization of the epileptogenic focus at the onset of operculo-insular seizures. Epilepsy Research, 152, 42-51. External link
Bou Assi, E., Gagliano, L., Rihana, S., Nguyen, D. K., & Sawan, M. (2018). Bispectrum features and multilayer perceptron classifier to enhance seizure prediction. Scientific Reports, 8(1). Available
Bou Assi, E. (2018). Towards Accurate Forecasting of Epileptic Seizures: Artificial Intelligence and Effective Connectivity Findings [Ph.D. thesis, École Polytechnique de Montréal]. Available
Bou Assi, E., Nguyen, D. K., Rihana, S., & Sawan, M. (2017). Towards accurate prediction of epileptic seizures: A review. Biomedical Signal Processing and Control, 34, 144-157. External link
Bou Assi, E., Sawan, M., Nguyen, D. K., & Rihana, S. (2016, October). A 2D clustering approach investigating inter-hemispheric seizure flow by means of a directed transfer function [Paper]. 3rd Middle East Conference on Biomedical Engineering (MECBME 2016), Beirut, Lebanon. External link
Egila, M. G., Bou Assi, E., & Sawan, M. (2018, June). Non-Linear Sequential SVM Classifier of Epileptic Seizures [Paper]. 16th IEEE International New Circuits and Systems Conference (NEWCAS 2018), Montréal, Québec. External link
Gagliano, L., Chang, A., Shokooh, L. A., Toffa, D. H., Lesage, F., Sawan, M., Nguyen, D. K., & Bou Assi, E. (2023, July). Cross-bispectrum connectivity of intracranial EEG: A novel approach to seizure onset zone localization [Paper]. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference (EMBC 2023), Sydney, Australia (4 pages). External link
Gagliano, L., Ding, T. Y., Toffa, D. H., Beauregard, L., Robert, M., Lesage, F., Sawan, M., Nguyen, D. K., & Bou Assi, E. (2023). Decrease in wearable-based nocturnal sleep efficiency precedes epileptic seizures. Frontiers in Neurology, 13, 1089094 (11 pages). External link
Gagliano, L., Bou Assi, E., Herrera-Fortin, T., Lesage, F., Sawan, M., & Nguyen, D. K. (2023). Epileptic Prodromes: Insights from Surveying 196 Patients and 150 Caregivers. Canadian Journal of Neurological Sciences, 50(1), 72-82. External link
Gagliano, L., Lesage, F., Nguyen, D. K., Sawan, M., & Bou Assi, E. (2021, August). Combining bispectral magnitude and entropy measures to improve classification of preictal and ictal iEEG [Paper]. 34th International Epilepsy Congress (1 page). Published in Epilepsia, 62(S3). External link
Gagliano, L., Lesage, F., Bou Assi, E., Nguyen, D. K., & Sawan, M. (2020, June). Neural networks for epileptic seizure prediction: algorithms and hardware implementation [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Qc, Canada. External link
Gagliano, L., Bou Assi, E., Toffa, D. H., Nguyen, D. K., & Sawan, M. (2020, July). Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy [Paper]. 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), Montréal, QC, Canada. External link
Gagliano, L., Bou Assi, E., Nguyen, D. K., & Sawan, M. (2019). Bispectrum and recurrent neural networks: Improved classification of interictal and preictal states. Scientific Reports, 9(1). Available
Gagliano, L., Bou Assi, E., Sawan, M., & Nguyen, D. K. (2018, October). Bicoherence of intracranial EEG: a novel precursor of seizure activity in canine epilepsy [Paper]. IEEE Life Sciences Conference (LSC 2018), Montréal, Québec. External link
Gagliano, L., Bou Assi, E., Nguyen, D. K., Rihana, S., & Sawan, M. (2018). Bilateral preictal signature of phase-amplitude coupling in canine epilepsy. Epilepsy Research, 139, 123-128. External link
Lemoine, É., Xu, A. Q., Jemel, M., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2026). Development and validation of a deep survival model to predict time to seizure from routine electroencephalography. Epilepsia, 14 pages. External link
Lemoine, É., Hinnoutondji Toffa, D., Qi Xu, A., Tessier, J.-D., Jemel, M., Lesage, F., Khoa Nguyen, D., & Bou Assi, E. (2025). Improving diagnostic accuracy of routine EEG for epilepsy using deep learning. Brain Communications. External link
Lemoine, É., Jemel, M., Xu, A. Q., Tessier, J.-D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2025). Prognostic value of interictal epileptiform discharges on routine EEG in adults with epilepsy. Epilepsia, 66(6), 2079-2088. Available
Lemoine, É., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2025). Deep Learning for the Prediction of Time-to-Seizure in Epilepsy using Routine EEG (P3-9.003). Neurology, 104(7_Suppleme). External link
Lemoine, É., Neves Briard, J., Rioux, B., Gharbi, O., Podbielski, R., Nauche, B., Toffa, D., Keezer, M., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2024). Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review. Computational and Structural Biotechnology Journal, 24, 66-86. External link
Lemoine, É., Briard, J. N., Rioux, B., Podbielski, R., Nauche, B., Toffa, D. H., Keezer, M. R., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023). Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: Protocol for a systematic review. BMJ Open, 13(1), e066932 (6 pages). Available
Lemoine, É., Toffa, D., Pelletier-Mc Duff, G., Xu, A. Q., Jemel, M., Tessier, J.-D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023). Machine-learning for the prediction of one-year seizure recurrence based on routine electroencephalography. Scientific Reports, 13(1), 13 pages. Available
Lemoine, É., Toffa, D. H., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023, April). Predicting Seizure Freedom through Computational Processing of Routine EEG [Abstract]. 2023 Annual Meeting Abstracts (3 pages). Published in Neurology, 100(17, suppl). External link
Lemoine, É., Tessier, J.-D., Pelletier-Mc Duff, G., Robert, M., Toffa, D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2021, August). Entropy on routine EEG: a fingerprint of recent seizure activity? [Abstract]. 34th International Epilepsy Congress (1 page). Published in Epilepsia, 62(S3). External link
Rong, G., Mendez, A., Bou Assi, E., Zhao, B., & Sawan, M. (2020). Artificial Intelligence in Healthcare: Review and Prediction Case Studies. Engineering, 6(3), 291-301. External link