Conference item
Fast and robust motion correction of cardiovascular magnetic resonance T1-mapping using data-driven convolutional neural networks for generalisability
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 1.2MB, Terms of use)
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- Publication website:
- https://scmr.org/resource/resmgr/2022_sci_sessions/Selected-Abstracts-scmr-smal.pdf
Authors
- Publisher:
- Society for Cardiovascular Magnetic Resonance
- Host title:
- Proceedings of the 2022 SCMR Virtual Annual Scientific Sessions
- Article number:
- 000105
- Publication date:
- 2022-02-02
- Acceptance date:
- 2021-11-30
- Event title:
- 2022 SCMR Virtual Annual Scientific Sessions
- Event location:
- Virtual event
- Event website:
- https://annual.scmr.org/
- Event start date:
- 2022-02-02
- Event end date:
- 2022-02-05
- Language:
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English
- Keywords:
- Pubs id:
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1279145
- Local pid:
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pubs:1279145
- Deposit date:
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2022-09-16
Terms of use
- Copyright holder:
- Gonzales et al.
- Copyright date:
- 2022
- Rights statement:
- Copyright © 2022 The Author(s).
- Notes:
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This is the accepted manuscript version of the article. The final version is available from Society for Cardiovascular Magnetic Resonance at https://cdn.ymaws.com/scmr.org/resource/resmgr/2022_sci_sessions/Selected-Abstracts-scmr-smal.pdf
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