M. Freiman

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20192024

most citedImproving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

25 citations · 72 across the 16 of their papers we have counts for

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eess.SP2022

P2T2: a Physically-primed deep-neural-network approach for robust $T_{2}$ distribution estimation from quantitative $T_{2}$ -weighted MRI

Hadas Ben-Atya, Moti Freiman

Estimating $T_{2}$ relaxation time distributions from multi-echo $T_{2}$ -weighted MRI ( $T_{2} W$ ) data can provide valuable biomarkers for assessing inflammation, demyelination, edema, an…

P2T2: a Physically-primed deep-neural-network approach for robust T2​ distribution estimation from quantitative T2​-weighted MRI

P2T2: a Physically-primed deep-neural-network approach for robust $T_{2}$ distribution estimation from quantitative $T_{2}$ -weighted MRI