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

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

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

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…