7 citations · 12 across the 4 of their papers we have counts for
4 papers
RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals
T. J. P. Bray, G. V. Minore, A. Bainbridge +4
There has been recent interest in the use of magnitude-based fitting methods for estimating proton density fat fraction (PDFF) and R2* from chemical shift-encoded MRI (CSE-MRI) dat…
MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling
Timothy JP Bray, Alan Bainbridge, Margaret A Hall-Craggs +1
Purpose: Magnitude-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex-based methods fail or when phase data is…
Negative-contrast neurography: Imaging the extracranial facial nerve and its branches using contrast-enhanced variable flip angle turbo spin echo MRI
Timothy JP Bray, Emma A Lim, Susan Jawad +7
Background and Purpose: Various 'positive-contrast' neurographic methods have been investigated for imaging the extracranial course of the facial nerve. However, nerve visibility c…
Task-driven assessment of experimental designs in diffusion MRI: a computational framework
Sean C. Epstein, Timothy J. P. Bray, Margaret A. Hall-Craggs +1
This paper proposes a task-driven computational framework for assessing diffusion MRI experimental designs which, rather than relying on parameter-estimation metrics, directly meas…