2 citations · 3 across the 4 of their papers we have counts for
4 papers
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis
Xiaodan Xing, Javier Del Ser, Yinzhe Wu +6
Synthetic digital twins based on medical data accelerate the acquisition, labelling and decision making procedure in digital healthcare. A core part of digital healthcare twins is…
Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation
Xiaodan Xing, Yinzhe Wu, David Firmin +2
Temporal patterns of cardiac motion provide important information for cardiac disease diagnosis. This pattern could be obtained by three-directional CINE multi-slice left ventricul…
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping
Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez +4
Myocardial Velocity Mapping Cardiac MR (MVM-CMR) can be used to measure global and regional myocardial velocities with proved reproducibility. Accurate left ventricle delineation i…
Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR
Yinzhe Wu, Suzan Hatipoglu, Diego Alonso-Álvarez +4
Four-dimensional (4D) left ventricular myocardial velocity mapping (MVM) is a cardiac magnetic resonance (CMR) technique that allows assessment of cardiac motion in three orthogona…