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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.
Use the mouse wheel or scroll gestures to zoom into the graph.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Sawan, M., Brossier, D., Roumeliotis, N., Fartoumi, S., & Émériaud, G. (2015). Computerized decision support system for traumatic brain injury management. Journal of Pediatric Intensive Care, 05(03), 101-107. External link
Astolfi, M., Fartoumi, S., Kataria, S., Faille, M.-H., Sanger, W., Morin, O., Péant, B., Kendall-Dupont, J., Provencher, D., Mes-Masson, A.-M., & Gervais, T. (2013, October). On-chip trapping and viability assessment of submicroliter primary tissues for personalized treatment of ovarian cancer [Paper]. 17th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2013), Freiburg, Germany. External link
Fartoumi, S. (2023, May). Un algorithme basé sur un réseau de neurones artificiels pour le diagnostic en temps réel de l'état craniocérébral de patients ayant subi un traumatisme crânien sévère [Poster]. 90e Congrès de l'ACFAS (ACFAS 2023), Montréal, QC. External link
Fartoumi, S. (2024). Vers l'utilisation de l'apprentissage profond aux soins intensifs pour assister la prise en charge de patients ayant subi un traumatisme crânio-cérébral sévère [Master's thesis, Polytechnique Montréal]. Available