Hiroshi Koike

Hiroshi Koike (小池博史 Koike Hiroshi born on 25 January 1956, in Japan) is a Japanese director, playwright and choreographer. After his former performing arts company Pappa TARAHUMARA was dissolved in 2012, he formed the Hiroshi Koike Bridge Project (HKBP). In June, 2023, they added the word, Odyssey, to the organization's name to reflect the director's vision of creating art - Hiroshi Koike Bridge Project -Odyssey.

He has conducted physical acting training workshops based on his original method titled “slow movement” all over the world. Up to date, Hiroshi Koike has directed 55 works with Pappa TARAHUMARA and 36 works with Hiroshi Koike Bridge Project -Odyssey.

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  1. 1
    Voriconazole-induced periostitis in a child with finger pain and nodules: case report and literature review

    Voriconazole-induced periostitis in a child with finger pain and nodules: case report and literature review by Hiroshi Urakawa, Kunihiro Ikuta, Tomohisa Sakai, Hiroshi Koike, Takeo Fujito, Yoshihiro Nishida, Shiro Imagama

    Published 2025-08-01
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  2. 2
    Natural course of patients diagnosed with nodular fasciitis

    Natural course of patients diagnosed with nodular fasciitis by Hiroshi Urakawa, Kunihiro Ikuta, Tomohisa Sakai, Hiroshi Koike, Takeo Fujito, Yoshihiro Nishida, Shiro Imagama

    Published 2025-07-01
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    Functional analysis and the importance of ligament reconstruction after soft tissue sarcoma surgery around the knee joint -a Tokai musculoskeletal oncology consortium study

    Functional analysis and the importance of ligament reconstruction after soft tissue sarcoma surgery around the knee joint -a Tokai musculoskeletal oncology consortium study by Hiroshi Koike, Kunihiro Ikuta, Akihito Nagano, Hisaki Aiba, Kunihiro Asanuma, Shunsuke Hamada, Eiji Kozawa, Yuya Izubuchi, Katsuhisa Kawanami, Shiro Imagama, Yoshihiro Nishida

    Published 2025-06-01
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    Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning

    Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning by Hiroshi Koike, Miyuki Harada, Kaname Yoshida, Katsuhiko Noda, Chihiro Tsuchida, Toshihiro Fujiwara, Akari Kusamoto, Zixin Xu, Tsurugi Tanaka, Nanoka Sakaguchi, Chisato Kunitomi, Nozomi Takahashi, Yoko Urata, Kenbun Sone, Osamu Wada-Hiraike, Yasushi Hirota, Yutaka Osuga

    Published 2025-07-01
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