Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)

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摘要
Brain cortical surfaces, which have an intrinsic spherical topology, are typically represented by triangular meshes and mapped onto a spherical manifold in neuroimaging analysis. Inspired by the strong capability of feature learning in Convolutional Neural Networks (CNNs), spherical CNNs have been developed accordingly and achieved many successes in cortical surface analysis. Motivated by the rece...
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关键词
Manifolds,Representation learning,Neuroimaging,Pediatrics,Transformers,Feature extraction,Quality assessment
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