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20192022
most citedImproving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks

21 citations · 32 across the 5 of their papers we have counts for

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eess.IV2019

Overview of quantitative susceptibility mapping using deep learning -- Current status, challenges and opportunities

Woojin Jung, Steffen Bollmann, Jongho Lee

Quantitative susceptibility mapping (QSM) has gained broad interests in the field by extracting biological tissue properties, predominantly myelin, iron and calcium from magnetic r…

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…