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

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

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

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

Paper (2020)

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Department:

Department of Computer Engineering and Software Engineering

ISBN:

9781728119908

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

OAI:

oai:publications.polymtl.ca:45936

ORCID

Date Deposited:

18 Apr 2023 15:01

Last Modified:

08 Oct 2026 18:12

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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