54 citations · 54 across the 2 of their papers we have counts for
3 papers
Inline AI: Open-source Deep Learning Inference for Cardiac MR
Hui Xue, Rhodri H Davies, James Howard +8
Cardiac Magnetic Resonance (CMR) is established as a non-invasive imaging technique for evaluation of heart function, anatomy, and myocardial tissue characterization. Quantitative…
Automatic In-line Quantitative Myocardial Perfusion Mapping: processing algorithm and implementation
Hui Xue, Louise A. E. Brown, Sonia Nielles-Vallespin +2
Quantitative myocardial perfusion mapping has advantages over qualitative assessment, including the ability to detect global flow reduction. However, it is not clinically available…
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
Hui Xue, Ethan Tseng, Kristopher D Knott +6
Quantification of myocardial perfusion has the potential to improve detection of regional and global flow reduction. Significant effort has been made to automate the workflow, wher…