SelfCoLearn: Self-Supervised Collaborative Learning for Accelerating Dynamic MR Imaging

Lately, deep learning technology has been extensively investigated for accelerating dynamic magnetic resonance (MR) imaging, with encouraging progresses achieved. However, without fully sampled reference data for training, the current approaches may have limited abilities in recovering fine details...

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Detalles Bibliográficos
Autores principales: Zou, Juan, Li, Cheng, Jia, Sen, Wu, Ruoyou, Pei, Tingrui, Zheng, Hairong, Wang, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687509/
https://www.ncbi.nlm.nih.gov/pubmed/36354561
http://dx.doi.org/10.3390/bioengineering9110650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687509/
https://www.ncbi.nlm.nih.gov/pubmed/36354561
http://dx.doi.org/10.3390/bioengineering9110650

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