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Abdolmanafi, A., Cheriet, F., Duong, L., Ibrahim, R., & Dahdah, N. (2019). An automatic diagnostic system of coronary artery lesions in Kawasaki Disease using IV-OCT imaging. Journal of Biophotonics, 13(1), e201900112 (16 pages). External link
Abdolmanafi, A., Duong, L., Dahdah, N., Adib, I. R., & Cheriet, F. (2018). Characterization of coronary artery pathological formations from OCT imaging using deep learning. Biomedical Optics Express, 9(10), 4936-4960. External link
Abdolmanafi, A., Duong, L., Dahdah, N., & Cheriet, F. (2017). Deep feature learning for automatic tissue classification of coronary artery using optical coherence tomography. Biomedical Optics Express, 8(2), 18 pages. External link
Benovoy, M., Dionne, A., Cheriet, F., Maurice, R. L., & Dahdah, N. (2016). Correlation between automatic angio-based coronary artery stiffness assessment and visual oct pathology scoring. Journal of the American College of Cardiology, 67(13), 1672-1672. External link
Benovoy, M., Cheriet, F., Maurice, R. L., & Dahdah, N. (2015). Abstract 153: Automated Angiographic Assessment Of Coronary Artery Vasomotion In Kawasaki Disease Patients. Circulation, 131(suppl_2). External link
Habert, S., Dahdah, N., & Cheriet, F. (2012, July). A novel method for an automatic 3D reconstruction of coronary arteries from angiographic images [Paper]. 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2012), Montréal, Québec. External link
Périé-Curnier, D., Dahdah, N., Foudis, A., & Curnier, D. (2013). Multi-parametric MRI as an indirect evaluation tool of the mechanical properties of in-vitro cardiac tissues. BMC Cardiovascular Disorders, 13(1). Available
Royer-Rivard, R., Girard, F., Dahdah, N., & Cheriet, F. (2020, July). End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences [Paper]. 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), Montréal, Québec. External link
