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End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences

Raphaêl Royer-Rivard, Fantin Girard, Nagib Dahdah and Farida Cheriet

Paper (2020)

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Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/45936/
Conference Title: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020)
Conference Location: Montréal, Québec
Conference Date(s): 2020-07-20 - 2020-07-24
Publisher: IEEE
DOI: 10.1109/embc44109.2020.9175453
Official URL: https://doi.org/10.1109/embc44109.2020.9175453
Date Deposited: 18 Apr 2023 15:01
Last Modified: 05 Apr 2024 11:45
Cite in APA 7: 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. https://doi.org/10.1109/embc44109.2020.9175453

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