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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
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.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Assi, E. B., 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
Assi, E. B., 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
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., Nguyen, D. K., Rihana, S., & Sawan, M. (2017, October). Refractory epilepsy: Localization, detection, and prediction [Paper]. 12th IEEE International Conference on ASIC (ASICON 2017), Guiyang, China. External link
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. (2015, October). A hybrid mRMR-genetic based selection method for the prediction of epileptic seizures [Paper]. 11th IEEE Biomedical Circuits and Systems Conference (BioCAS 2015), Atlanta, GA, United states (4 pages). External link
Bou Assi, E., Rihana, S., & Sawan, M. (2014, August). Kmeans-ICA based automatic method for ocular artifacts removal in a motorimagery classification [Paper]. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois. External link
Gagliano, L., Assi, E. B., 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
Saber, R., & Rihana, S. (2025). A Classification-Based Blood–Brain Barrier Model: A Comparative Approach. Pharmaceuticals, 18(6), 773-773. External link