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Ishikawa, S. Yamada, C. Uwabe, H. Imai, T. Matsuda, A. Yoneyama, T. Takeda, and T. Takakuwa, \u201cPositional changes of the ocular organs during craniofacial development,\u201d The Anatomical Record, 2017, in press. 10.1002\/ar.23588","DOI":"10.1002\/ar.23588"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, \u201cLog-Euclidean metrics for fast and simple calculus on diffusion tensors,\u201d Magnetic resonance in medicine, vol.56, no.2, pp.411-421, June 2006. 10.1002\/mrm.20965","DOI":"10.1002\/mrm.20965"},{"key":"19","unstructured":"[19] A. Takatsu, \u201cWasserstein geometry of Gaussian measures,\u201d Osaka Journal of Mathematics, vol.48, no.4, pp.1005-1026, Dec. 2011."},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] A. Ohara, N. Suda, and S. 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