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A multi-resolution scheme for distortion-minimizing mapping between human subcortical structures based on geodesic construction on Riemannian manifolds.

Young-Sang ChoJoon-Kyung SeongSung Yong ShinYong JeongJong Hun KimAnqi QiuKiho ImJong-Min LeeDuk L. Na
Published in: NeuroImage (2011)
Keyphrases
  • riemannian manifolds
  • multiresolution
  • geodesic distance
  • euclidean space
  • subcortical structures
  • brain segmentation
  • multi class classification
  • vector space
  • image data
  • parameter space
  • distance transform