Denis Corbin, Marcel Santaló-Corcoy, Olivier Tastet, Patricia Lopes, Janelle Schrot, Thomas Modine, Anita Asgar, Frédéric Lesage
and Walid Ben Ali
Article (2024)
 Open Acess document in PolyPublie and at official publisher |
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Non-commercial No Derivatives Download (371kB) |
| Subjects: |
1900 Biomedical engineering > 1900 Biomedical engineering 1900 Biomedical engineering > 1901 Biomedical technology 1900 Biomedical engineering > 1902 Biomedical materials 2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering 2700 Information technology > 2713 Algorithms 2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603) |
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| Department: | Department of Electrical Engineering |
| Funders: | Fond de Recherche du Québec - Santé - Personnel Hautement Qualifié |
| PolyPublie URL: | https://publications.polymtl.ca/58193/ |
| Journal Title: | Journal of the Society for Cardiovascular Angiography & Interventions (vol. 3, no. 3) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.jscai.2023.101289 |
| Official URL: | https://doi.org/10.1016/j.jscai.2023.101289 |
| Date Deposited: | 21 May 2024 10:48 |
| Last Modified: | 30 Sep 2024 00:34 |
| Cite in APA 7: | Corbin, D., Santaló-Corcoy, M., Tastet, O., Lopes, P., Schrot, J., Modine, T., Asgar, A., Lesage, F., & Ali, W. B. (2024). Validation study of two artificial intelligence–based preplanning methods for transcatheter aortic valve replacement procedures. Journal of the Society for Cardiovascular Angiography & Interventions, 3(3), 101289 (2 pages). https://doi.org/10.1016/j.jscai.2023.101289 |
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