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Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data
Although having been the subject of intense research over the years, cardiac function quantification from MRI is still not a fully automatic process in the clinical practice. This is partly due to the shortage of training data covering all relevant cardiovascular disease phenotypes. We propose to sy...
Autores principales: | Gheorghiță, Bogdan A., Itu, Lucian M., Sharma, Puneet, Suciu, Constantin, Wetzl, Jens, Geppert, Christian, Ali, Mohamed Ali Asik, Lee, Aaron M., Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Schulz-Menger, Jeanette, Chițiboi, Teodora |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844403/ https://www.ncbi.nlm.nih.gov/pubmed/35165324 http://dx.doi.org/10.1038/s41598-022-06315-3 |
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