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MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling

The potential value of whole-body MRI for therheumatologist’s assessment and management ofjuvenile idiopathic arthritis patients

Quantitative MRI parameter estimation with supervised deep learning: MLE-derived labels outperform groundtruth labels

Some Things Change, Some Things Don’t: Working with the AMPC

Author:Margaret Hall-Craggs  

Session Type:Other  

Session Date:Wednesday, 11 May 2022  

Topic:

Session Name:Footprints of the ISMRM on the MRI Path  

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Room Session:ICC Capital Hall 2  

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    Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load