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Word cloudA 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.
Arnold, C., Jouvet, P., & Séoud, L. (2024, June). SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution [Paper]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA. External link
Boudreault, L., Jouvet, P., & Doyon-Poulin, P. (2022, November). Shared sensemaking and clinical decision-making in critical care from a SA-oriented dashboard [Paper]. 7th International Conference on Healthcare Systems Ergonomics and Patient Safety (HEPS 2022), Delft, The Netherlands. Available
Boudreault, L., Hébert-Lavoie, M., Ung, K., Mahmoudi, C., Vu, Q. P., Jouvet, P., & Doyon-Poulin, P. (2023). Situation awareness-oriented dashboard in ICUs in support of resource management in time of pandemics. IEEE Journal of Translational Engineering in Health and Medicine, 11, 151-160. Available
Brossier, D., Fléchelles, O., Sauthier, M., Engert, C., Chahir, Y., Émériaud, G., Cheriet, F., Jouvet, P., & de Montigny, S. (2023). Evaluation of the SIMULRESP: A simulation software of child and teenager cardiorespiratory physiology. Pediatric Pulmonology, 58(10), 2832-2840. External link
Yahyatabar, M., Jouvet, P., & Cheriet, F. (2023). Joint classification and segmentation for an interpretable diagnosis of acute respiratory distress syndrome from chest x-rays. Journal of Medical Imaging, 10(5), 054504 (20 pages). External link
Yahyatabar, M., Jouvet, P., Fily, D., Rambaud, J., Levy, M., Khemani, R. G., & Cheriet, F. (2023). A Web-Based Platform for the Automatic Stratification of ARDS Severity. Diagnostics, 13(5), 16 pages. External link
Tabone, L., Rivest, D., Lévy, A., Buyck, M., Jouvet, P., Aubin, C.-É., François, T., Robert, É., & Baudin, F. (2022). Prevention of submicron aerosolized particle dispersion: evaluation of an aerosol box using a pediatric simulation model. Experimental Lung Research, 48(9-10), 266-274. External link
Hébert-Lavoie, M., Ung, K., Boudreault, L., Mahmoudi, C., Vu, Q. P., Jouvet, P., & Doyon-Poulin, P. (2021, June). Remote Design of a Pediatric Intensive Care Unit Dashboard in Time of Pandemics [Paper]. 21st Triennial Congress of the International Ergonomics Association (IEA 2021), Vancouver, Canada (8 pages). Available
Tabone, L., Rivest, D., Lévy, A., Aubin, C.-É., François, T., Jouvet, P., Baudin, F., & Robert, É. (2021). P0736 / #1895: evaluation of splashguardcg prevention of aerosolised particle dispersion in a paediatric model of spontaneous and non-invasive ventilation. Pediatric Critical Care Medicine, 22(Supplement), 355-355. External link
Tabone, L., François, T., Lévy, A., Alix-Séguin, L., Touré, T., Aubin, C.-É., & Jouvet, P. (2021). P0737 / #1897: design, improvement and accelerated implementation of a new device to prevent transmission of covid-19 during aerosol-generating medical procedures. Pediatric Critical Care Medicine, 22(Supplement), 355-355. External link
Idei, M., Nomura, T., Jouvet, P., Aubin, C.-É., Kawaguchi, A., & Nakagawa, M. (2020). Video Laryngoscope Intubation With an Aerosol Barrier Device: A Randomized Sequential Crossover Pilot Study. Critical care explorations, 2(10), e0234 (4 pages). Available
Augustin, A., Jouvet, P., Lahrichi, N., Lodi, A., & Rousseau, L.-M. (2020). A Data-driven approach to include availability of ICU beds in the planning of the operating room. (Technical Report n° CIRRELT-2020-10). External link
Yahyatabar, M., Jouvet, P., & Cheriet, F. (2020, July). Dense-Unet: a light model for lung fields segmentation in Chest X-Ray images [Paper]. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montréal, Qc, Canada. External link
François, T., Tabone, L., Lévy, A., Seguin, L. A., Touré, T., Aubin, C.-É., Jouvet, P., & Luchette, F. A. (2020). Simulation-based rapid development and implementation of a novel barrier enclosure for use in COVID-19 patients : the splashGuard CG. Critical Care Research and Practice, 2020, 1-8. Available
Veillet, M.-P., Sauthier, M., Frigon, C., Ducruet, T., Jouvet, P., & Emeriaud, G. (2019). When the children control the ventilator, they adopt an appropriate ventilation with a strict control of blood pH. Annals of the American Thoracic Society, 16(12), 1585-1587. External link
Zaglam, N., Cheriet, F., & Jouvet, P. (2016). Computer-Aided Diagnosis for Chest Radiographs in Intensive Care. Journal of Pediatric Intensive Care, 5(3), 113-121. External link
Zaglam, N., Essouri, S., Fléchelles, O., Émériaud, G., Cheriet, F., & Jouvet, P. (2014). Abstract 419. Pediatric Critical Care Medicine, 15, 96-96. External link
Zaglam, N., Jouvet, P., Fléchelles, O., Émériaud, G., & Cheriet, F. (2014). Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs. Computers in Biology and Medicine, 52, 41-48. External link
