Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations 事件

Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations arXiv:2501.12178v2 Announce Type: replace Abstract: Medical imaging studies often rely on a single sample per subject, assuming it is representative of their physiological traits. However, variations in how input descriptors are defined or computed (e.g. due to a lack of consensus in the scientific field) may have a crucial impact on the analysis, and are h