VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.
In: Proceedings of the CVPR
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Sparse Representation Learning for Vessels
VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.