most citedImproving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks

21 citations · 29 across the 2 of their papers we have counts for

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eess.IV2021★ 8 cited

NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data

Francesco Cognolato, Kieran O'Brien, Jin Jin +4

Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many curr…

eess.IV2019★ 21 cited

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks

Shahrokh Abbasi-Rad, Kieran O'Brien, Samuel Kelly +6

Purpose: The purpose of this study is to demonstrate a method for Specific Absorption Rate (SAR) reduction for T2-FLAIR MRI sequences at 7T by predicting the required adiabatic pul…