Evaluation of stenoses using AI video models applied to coronary angiography

Élodie Labrecque Langlais, Denis Corbin, Olivier Tastet, Ahmad Hayek, Gemina Doolub, Sebastián Mrad, Jean-Claude Tardif, Jean-François Tanguay, Guillaume Marquis-Gravel, Geoffrey H. Tison, Samuel Kadoury, William Le, Richard Gallo, Frédéric Lesage and Robert Avram

Article (2024)

Open Acess document in PolyPublie and at official publisher

Department:	Department of Electrical Engineering Department of Computer Engineering and Software Engineering Institut de génie biomédical
Funders:	CRSNG/NSERC, Montreal Heart Institute Research Centre, Montreal Heart Institute Foundation, Des Groseillers-Bérard Interventional Cardiology Research Chair, Canadian Institute for Advanced Research (CIFAR), Fonds de la recherche en santé du Québec, Institute for Data Valorization (IVADO), Fonds de recherche du Québec - Nature et technologies (FRQNT)
Grant number:	312758
PolyPublie URL:	https://publications.polymtl.ca/58571/
Journal Title:	NPJ Digital Medicine (vol. 7)
Publisher:	Springer Nature
DOI:	10.1038/s41746-024-01134-4
Official URL:	https://doi.org/10.1038/s41746-024-01134-4
Date Deposited:	26 Jun 2024 14:48
Last Modified:	11 Jun 2026 17:19

Cite in APA 7:	Labrecque Langlais, É., Corbin, D., Tastet, O., Hayek, A., Doolub, G., Mrad, S., Tardif, J.-C., Tanguay, J.-F., Marquis-Gravel, G., Tison, G. H., Kadoury, S., Le, W., Gallo, R., Lesage, F., & Avram, R. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. NPJ Digital Medicine, 7, 138 (13 pages). https://doi.org/10.1038/s41746-024-01134-4
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