Figure 4.

Flowchart to show the design of the study. In total 302 patients with CMR imaging had both manual volumetric analysis and automated image segmentation (right ventricle shown in solid white, left ventricle in red) across 20 temporal phases (t = 1, .., 20). Internal validity of the predictive performance of a conventional parameter model and a deep learning motion model was assessed using bootstrapping. CMR, cardiac magnetic resonance.