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

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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Hlavní autoři: Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-11-01
Edice:Bioengineering
Témata:
dynamic MR imaging
self-supervised learning
collaborative learning
reunderampling data augmentation
co-training loss
On-line přístup:https://www.mdpi.com/2306-5354/9/11/650

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https://www.mdpi.com/2306-5354/9/11/650

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