Deep Learning Improves the Temporal Reproducibility of Aortic Measurement Article Swipe
Alex Bratt
,
Daniel J. Blezek
,
William J. Ryan
,
Kenneth A. Philbrick
,
Prabhakar Rajiah
,
Yasmeen K. Tandon
,
Lara Walkoff
,
Jason Cai
,
Emily N. Sheedy
,
Panagiotis Korfiatis
,
Eric E. Williamson
,
Bradley J. Erickson
,
Jeremy D. Collins
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s10278-021-00465-y
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s10278-021-00465-y
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10278-021-00465-y
- OA Status
- green
- Cited By
- 12
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3164826170
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3164826170Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s10278-021-00465-yDigital Object Identifier
- Title
-
Deep Learning Improves the Temporal Reproducibility of Aortic MeasurementWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-05-28Full publication date if available
- Authors
-
Alex Bratt, Daniel J. Blezek, William J. Ryan, Kenneth A. Philbrick, Prabhakar Rajiah, Yasmeen K. Tandon, Lara Walkoff, Jason Cai, Emily N. Sheedy, Panagiotis Korfiatis, Eric E. Williamson, Bradley J. Erickson, Jeremy D. CollinsList of authors in order
- Landing page
-
https://doi.org/10.1007/s10278-021-00465-yPublisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/8554928Direct OA link when available
- Concepts
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Reproducibility, Deep learning, Segmentation, Medicine, Ground truth, Standard deviation, Radiology, Artificial intelligence, Computer science, Nuclear medicine, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 6, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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