Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
Researchers introduce LAMAE, a masked autoencoder foundation model designed for multi-view echocardiography that uses latent attention to share information across cardiac imaging frames and views. The approach addresses limitations of frame-independent processing by enabling coherent reconstruction of heterogeneous spatiotemporal cardiac data.
MentionsLAMAE · Masked Autoencoder · Echocardiography
Read full story at arXiv cs.LG →(arxiv.org)
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