Raphaêl Royer-Rivard, Fantin Girard, Nagib Dahdah and Farida Cheriet
Paper (2020)
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| Department: | Department of Computer Engineering and Software Engineering |
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| 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 |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 08 Apr 2025 12:24 |
| 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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