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Documents dont l'auteur est "Dahdah, Nagib"

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Nombre de documents: 10

A

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). Lien externe

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. Lien externe

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. Lien externe

B

Benovoy, M., Jacobs, M., Cheriet, F., Dahdah, N., Arai, A. E., & Hsu, L.-Y. (2017). Robust Universal Nonrigid Motion Correction Framework for First-Pass Cardiac MR Perfusion Imaging. Journal of Magnetic Resonance Imaging, 46(4), 1060-1072. Lien externe

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. Lien externe

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). Lien externe

Benovoy, M., Jacobs, M., Cheriet, F., Dahdah, N., Arai, A. E., & Li-Yueh, H. (avril 2015). Automatic nonrigid motion correction for quantitative first-pass cardiac MR perfusion imaging [Communication écrite]. 12th IEEE International Symposium on Biomedical Imaging (ISBI 2015), New York, NY. Lien externe

H

Habert, S., Dahdah, N., & Cheriet, F. (juillet 2012). A novel method for an automatic 3D reconstruction of coronary arteries from angiographic images [Communication écrite]. 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2012), Montréal, Québec. Lien externe

P

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). Disponible

R

Royer-Rivard, R., Girard, F., Dahdah, N., & Cheriet, F. (juillet 2020). End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences [Communication écrite]. 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), Montréal, Québec. Lien externe

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