Cortical Correspondence with Probabilistic Fiber Connectivity


This paper presents a novel method of optimizing point-based correspondence among populations of human cortical surfaces by combining structural cues with probabilistic connectivity maps. The proposed method establishes a tradeoff between an even sampling of the cortical surfaces (a low surface entropy) and the similarity of corresponding points across the… (More)
DOI: 10.1007/978-3-642-02498-6_54


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