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20192023
most citedCoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

5 citations · 9 across the 4 of their papers we have counts for

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eess.IV2019★ 1 cited

Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images

Max Torop, Satya VVN Kothapalli, Yu Sun +4

Purpose: To introduce a novel deep learning method for Robust and Accelerated Reconstruction (RoAR) of quantitative and B0-inhomogeneity-corrected R2* maps from multi-gradient reca…