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ElastoNet: Neural network-based multicomponent MR elastography wave inversion with uncertainty quantification
DOI:10.1016/j.media.2025.103642.png)
Abstract
En 中文
• ElastoNet is a multicomponent neural network-based MRE inversion method. • Applicable independently of acquisition resolution and excitation frequency. • The epistemic uncertainty is quantified using evidential deep learning. • Performance analysis on wideband multifrequency in vivo MRE data of the abdomen.
Keywords:
Neural network
Magnetic resonance elastography
Inversion
Uncertainty quantification
Journal
IF:
11.8
Papers:
3.8K
Citations:
2.4W
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