ShapeFuse uses bidirectional cross-modal temporal attention and adaptive gating to fuse deformable shape and texture features for cardiac video classification, outperforming existing fusion strategies on a cine CMR dataset.
International Journal of Computer Assisted Radiology and Surgery19(2), 355–365 (2024)
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Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification
ShapeFuse uses bidirectional cross-modal temporal attention and adaptive gating to fuse deformable shape and texture features for cardiac video classification, outperforming existing fusion strategies on a cine CMR dataset.