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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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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