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Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition
Research article (International journal of cardiac imaging, 2020) · cited 17× · AI/ML
Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition
Summary
Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition is a scholarly article[1].
Key Facts
Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-analysis-and-detection-of-abnormalities-in-transaxial-anatomical-cardiovascular-magnetic-resonance-images-a-pr
MLA“Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-analysis-and-detection-of-abnormalities-in-transaxial-anatomical-cardiovascular-magnetic-resonance-images-a-pr.
BibTeX@misc{4ortxyz_automated-analysis-and-detection-of-abnormalities-in-transaxial-anatomical-cardiovascular-magnetic-resonance-images-a-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition}}, year = {2026}, url = {https://4ort.xyz/entity/automated-analysis-and-detection-of-abnormalities-in-transaxial-anatomical-cardiovascular-magnetic-resonance-images-a-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition — https://4ort.xyz/entity/automated-analysis-and-detection-of-abnormalities-in-transaxial-anatomical-cardiovascular-magnetic-resonance-images-a-pr (retrieved 2026-05-24)
