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SurfAge-Net: A hierarchical surface-based network for interpretable fine-grained brain age prediction
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DOI：10.1016/j.patcog.2026.114542.png)
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Abstract
En 中文
• We introduce the first patch-level perinatal brain age prediction paradigm. • The paradigm enables fine-grained, interpretable cortical maturation assessment. • We develop SurfAge-Net with spatial-channel mixing and lateralization-aware attention. • SurfAge-Net achieves highly accurate, efficient fine-grained brain age prediction. • SurfAge-Net provides spatially localized insights into atypical neurodevelopment.
Keywords:
Cortical spherical surface
Fine-grained
Brain age prediction
Fetal
Neonatal
Morphological metrics
Interpretability
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