Conference item : Abstract
Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 1.1MB, Terms of use)
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- Publication website:
- https://www.eventscribe.net/2023/SCMR/
Authors
- Publisher:
- Society for Cardiovascular Magnetic Resonance
- Publication date:
- 2023-01-25
- Acceptance date:
- 2022-11-09
- Event title:
- SCMR 26th Annual Scientific Sessions
- Event location:
- San Diego, California, USA
- Event website:
- https://scmr.org/page/PastMeetings
- Event start date:
- 2023-01-25
- Event end date:
- 2023-01-28
- Language:
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English
- Keywords:
- Subtype:
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Abstract
- Pubs id:
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1330728
- Local pid:
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pubs:1330728
- Deposit date:
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2023-02-27
Terms of use
- Copyright date:
- 2023
- Notes:
- This is the accepted manuscript version of the abstract. The final version is available online from the Society for Cardiovascular Magnetic Resonance at: https://www.eventscribe.net/2023/SCMR/
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