activity
20192023
most citedAutomated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control

48 citations · 81 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

eess.IV2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez +11

Flow analysis carried out using phase contrast cardiac magnetic resonance imaging (PC-CMR) enables the quantification of important parameters that are used in the assessment of car…

eess.IV2022

An AI tool for automated analysis of large-scale unstructured clinical cine CMR databases

Jorge Mariscal-Harana, Clint Asher, Vittoria Vergani +9

Artificial intelligence (AI) techniques have been proposed for automating analysis of short axis (SAX) cine cardiac magnetic resonance (CMR), but no CMR analysis tool exists to aut…