5 citations · 5 across the 3 of their papers we have counts for
3 papers
Real-time, inline quantitative MRI enabled by scanner-integrated machine learning: a proof of principle with NODDI
Samuel Rot, Iulius Dragonu, Christina Triantafyllou +11
Purpose: The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to 'research mode', due to resource-intensi…
Decoding Gray Matter: large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals
Charlie Aird-Rossiter, Hui Zhang, Daniel C. Alexander +2
The structure of grey matter has long been a key focus in neuroscience, as cell morphology varies by type and can be affected by neurological conditions. Understanding these variat…
SCREENER: A general framework for task-specific experiment design in quantitative MRI
Tianshu Zheng, Zican Wang, Timothy Bray +3
Quantitative magnetic resonance imaging (qMRI) is increasingly investigated for use in a variety of clinical tasks from diagnosis, through staging, to treatment monitoring. However…