Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space.

Medical Image Analysis（2018）

引用 13|浏览13

暂无评分

摘要

•A novel framework for intrinsic surface mapping in the Laplace–Beltrami embedding space.•Riemannian metric optimization for feature-driven brain surface mapping.•Generally applicable for both cortical and sub-cortical structures.•Holistic mapping of striatal surfaces.

查看译文

关键词

Laplace–Beltrami embedding,Cortex,Hippocampus,Striatum

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要