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A method for morphological feature extraction based on variational auto-encoder : an application to mandible shape

Masato Tsutsumi, View ORCID ProfileNen Saito, Daisuke Koyabu, View ORCID ProfileChikara Furusawa
doi: https://doi.org/10.1101/2022.05.18.492406
Masato Tsutsumi
1Department of Physics, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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Nen Saito
2Graduate School of Integrated Sciences for Life, Hiroshima University, Higashihiroshima, Hiroshima 739-8511, Japan, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8585, Japan and Universal Biology Institute, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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Daisuke Koyabu
3Research and Development Center for Precision Medicine, University of Tsukuba, 1-2 Kasuga, Tsukuba 305-8550, Japan and Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, To Yuen Building, Tat Chee Avenue, Kowloon 999077, Hong Kong
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Chikara Furusawa
4Universal Biology Institute, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Center for Biosystem Dynamics Research, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan
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  • For correspondence: chikara.furusawa@riken.jp
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Posted May 19, 2022.
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A method for morphological feature extraction based on variational auto-encoder : an application to mandible shape
Masato Tsutsumi, Nen Saito, Daisuke Koyabu, Chikara Furusawa
bioRxiv 2022.05.18.492406; doi: https://doi.org/10.1101/2022.05.18.492406
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A method for morphological feature extraction based on variational auto-encoder : an application to mandible shape
Masato Tsutsumi, Nen Saito, Daisuke Koyabu, Chikara Furusawa
bioRxiv 2022.05.18.492406; doi: https://doi.org/10.1101/2022.05.18.492406

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