A motion-aware world model pretraining approach reduces echocardiography probe guidance error relative to existing visual backbones and guidance frameworks on a private clinical dataset.
Self-supervised learning from images with a joint-embedding predictive architecture
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EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
A motion-aware world model pretraining approach reduces echocardiography probe guidance error relative to existing visual backbones and guidance frameworks on a private clinical dataset.