US-JEPA: A Joint Embedding Predictive Architecture for Ultrasound
This work proposes US-JEPA, a self-supervised framework that adopts the Static-teacher Asymmetric Latent Training (SALT) objective and demonstrates that masked latent prediction provides a stable and efficient path toward robust ultrasound representations.
Ashwath Radhachandran, Vedrana Ivezi'c, S. Athreya et al.
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