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Collaboration networkThis 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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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.
Corona, S., Godefroy, T., Tastet, O., Corbin, D., Modine, T., von Bardeleben, S., Lesage, F., & Ben Ali, W. (2025). Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy. Frontiers in Network Physiology, 5, 17 pages. External link
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). Available
Corbin, D., & Lesage, F. (2022). Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database. Scientific Reports, 12(1), 12 pages. External link
Corbin, D. (2021). Investigation de biomarqueurs rétiniens pour la cognition et l'Alzheimer à partir du fundus [Master's thesis, Polytechnique Montréal]. Available
Caru, M., Corbin, D., Périé-Curnier, D., Lemay, V., Delfrate, J., Drouin, S., Bertout, L., Krajinovic, M., Laverdiere, C., Andelfinger, G., Sinnett, D., & Curnier, D. (2019). Doxorubicin treatments induce significant changes on the cardiac autonomic nervous system in childhood acute lymphoblastic leukemia long-term survivors. Clinical Research in Cardiology, 108(9), 1000-1008. External link
Damseh, R., Lu, Y., Lu, X., Zhang, C., Marchand, P. J., Corbin, D., Pouliot, P., Cheriet, F., & Lesage, F. (2021). A simulation study investigating potential diffusion-based MRI signatures of microstrokes. Scientific Reports, 11(1), 14229 (15 pages). Available
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). Available
Nolin-Lapalme, A., Thériault-Lauzier, P., Corbin, D., Tastet, O., Sharma, A., Hussin, J. G., Kadoury, S., Jiang, R., Krahn, A. D., Gallo, R., & Avram, R. (2024). Maximizing Large Language Model Utility in Cardiovascular Care: A Practical Guide. Canadian Journal of Cardiology, 38 pages. External link
Santaló-Corcoy, M., Corbin, D., Tastet, O., Lesage, F., Modine, T., Asgar, A., & Ali, W. B. (2023). TAVI-PREP: A Deep Learning-Based Tool for Automated Measurements Extraction in TAVI Planning. Diagnostics, 13(20), 3181 (16 pages). Available
Thériault-Lauzier, P., Corbin, D., Tastet, O., Labrecque Langlais, É., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Wawira Gichoya, J., Anbil Parthipan, S. C., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2025). Erratum: "A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform Canadian Journal of Cardiology Volume 40, Issue 10, October 2024, Pages 1828-1840". PubMed. External link
Thériault-Lauzier, P., Corbin, D., Tastet, O., Langlais, É. L., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Gichoya, J. W., Anbil Parthipan, S. C., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2024). A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform. Canadian Journal of Cardiology, 025 (39 pages). External link
