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Hui Xue

Researcher at National Institutes of Health

Publications -  183
Citations -  4935

Hui Xue is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 33, co-authored 137 publications receiving 3665 citations. Previous affiliations of Hui Xue include Ohio State University & Royal Free London NHS Foundation Trust.

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Extracellular volume fraction mapping in the myocardium, part 1: evaluation of an automated method

TL;DR: Fully automated motion correction and co-registration of breath-holds significantly improve the quality of ECV maps, thus making the generation ofECV-maps feasible for clinical work flow.
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Extracellular volume fraction mapping in the myocardium, part 2: initial clinical experience

TL;DR: The ability to display ECV maps in units that are physiologically intuitive and may be interpreted on an absolute scale offers the potential for detection of diffuse disease and measurement of the extent and severity of abnormal regions.
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Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance.

TL;DR: In this paper, the authors used multi-parametric cardiovascular magnetic resonance (CMR) to assess myocardial injury in recovered COVID-19 patients, including myocarditis-like scar in 26% (39/148), infarction and/or ischaemia in 22%, and dual pathology in 6% (9/148).
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Automatic segmentation and reconstruction of the cortex from neonatal MRI.

TL;DR: An automatic segmentation algorithm detecting mislabeled voxels during cortical segmentation and correcting errors caused by partial volume effects is proposed and results show that the proposed algorithm corrects errors in the segmentation of both GM and WM compared to the classic expectation maximization (EM) scheme.
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Motion correction for myocardial T1 mapping using image registration with synthetic image estimation.

TL;DR: Validation on a consecutive patient data cohort shows that this strategy can perform robust nonrigid registration to align inversion recovery images experiencing significant motion and lead to suppression of motion induced artifacts in the T1 map.