Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex

Benjamin M. Kandel, Danny J. J. Wang, James C. Gee, Brian B. Avants. Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. Volume 8675 of Lecture Notes in Computer Science, pages 137-144, Springer, 2014. [doi]

Abstract

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