Abstract: Generative Adversarial Networks (GANs) are a major innovation in the field of deep learning. It has been widely used in image generation and text-to-image conversion tasks. However, it is ...

Abstract: Gait impairment post-stroke is highly heterogeneous. Prior studies classified heterogeneous gait patterns into subgroups using peak kinematics, kinetics, or spatiotemporal variables. A ...