75 citations · 108 across the 4 of their papers we have counts for
4 papers
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…
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…
Serial Correlations in Single-Subject fMRI with Sub-Second TR
Saskia Bollmann, Alexander M. Pucket, Ross Cunnington +1
When performing statistical analysis of single-subject fMRI data, serial correlations need to be taken into account to allow for valid inference. Otherwise, the variability in the…
Fractal noise maps reveal human brain activity: a key for unbiased fMRI analysis
Stefan Thurner, Christian Windischberger, Ewald Moser +1
Brain metabolism is controlled by complex regulation mechanisms. As part of their nature many complex systems show scaling behavior in their timeseries data. Corresponding scaling…