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Magnetic resonance parameter mapping using model-guided self-supervised deep learning.

Fang LiuRichard KijowskiGeorges El FakhriLi Feng
Published in: Magnetic resonance in medicine (2021)
This work has demonstrated the initial feasibility of rapid quantitative MR parameter mapping based on self-supervised deep learning. The RELAX framework may also be further extended to other quantitative MRI applications by incorporating corresponding quantitative imaging models.
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