Search Results - Kakimoto, Shota

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  1. 1
    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO2 single crystals

    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO2 single crystals by Kakimoto, Shota, Hashimoto, Yujiro, Kuwano, Taro, Kimura, Koji, Hayashi, Kouichi, Hagiwara, Manabu, Deguchi, Kazuhiko, Taniguchi, Hiroki

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  2. 2
    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO 2 single crystals

    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO 2 single crystals by Kakimoto, Shota, Hashimoto, Yujiro, Kuwano, Taro, Kimura, Koji, Hayashi, Kouichi, Hagiwara, Manabu, Deguchi, Kazuhiko, Taniguchi, Hiroki

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  3. 3
    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO single crystals

    Controlling dielectric properties of Nb + X (X = Al, Ga, In) co-doped and Nb-doped rutile-type TiO single crystals by Kakimoto, Shota, Hashimoto, Yujiro, Kuwano, Taro, Kimura, Koji, Hayashi, Kouichi, Hagiwara, Manabu, Deguchi, Kazuhiko, Taniguchi, Hiroki

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  4. 4
    Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning

    Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning by Ito, Shota, Mine, Yuichi, Yoshimi, Yuki, Takeda, Saori, Tanaka, Akari, Onishi, Azusa, Peng, Tzu-Yu, Nakamoto, Takashi, Nagasaki, Toshikazu, Kakimoto, Naoya, Murayama, Takeshi, Tanimoto, Kotaro

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  5. 5
    Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images

    Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joi... by Yoshimi, Yuki, Mine, Yuichi, Ito, Shota, Takeda, Saori, Okazaki, Shota, Nakamoto, Takashi, Nagasaki, Toshikazu, Kakimoto, Naoya, Murayama, Takeshi, Tanimoto, Kotaro

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  6. 6
    Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study

    Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study by Mine, Yuichi, Iwamoto, Yuko, Okazaki, Shota, Nakamura, Kentaro, Takeda, Saori, Peng, Tzu‐Yu, Mitsuhata, Chieko, Kakimoto, Naoya, Kozai, Katsuyuki, Murayama, Takeshi

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  7. 7
    Suppression of nitric oxide synthase aggravates non-alcoholic steatohepatitis and atherosclerosis in SHRSP5/Dmcr rat via acceleration of abnormal lipid metabolism

    Suppression of nitric oxide synthase aggravates non-alcoholic steatohepatitis and atherosclerosis in SHRSP5/Dmcr rat via acceleration of abnormal lipid metabolism by Sato, Ikumi, Yamamoto, Shusei, Kakimoto, Mai, Fujii, Moe, Honma, Koki, Kumazaki, Shota, Matsui, Mami, Nakayama, Hinako, Kirihara, Sora, Ran, Shang, Usui, Shinichi, Shinohata, Ryoko, Kitamori, Kazuya, Hirohata, Satoshi, Watanabe, Shogo

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  8. 8
    Basic characteristics between mechanomyogram and muscle force during twitch and tetanic contractions in rat skeletal muscles

    Basic characteristics between mechanomyogram and muscle force during twitch and tetanic contractions in rat skeletal muscles by Sato, Ikumi, Yamamoto, Shusei, Kakimoto, Mai, Fujii, Moe, Honma, Koki, Kumazaki, Shota, Matsui, Mami, Nakayama, Hinako, Kirihara, Sora, Ran, Shang, Hirohata, Satoshi, Watanabe, Shogo

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  9. 9
    Prediction of a Cephalometric Parameter and Skeletal Patterns from Lateral Profile Photographs: A Retrospective Comparative Analysis of Regression Convolutional Neural Networks

    Prediction of a Cephalometric Parameter and Skeletal Patterns from Lateral Profile Photographs: A Retrospective Comparative Analysis of Regression Convolutional Neural Networks by Ito, Shota, Mine, Yuichi, Urabe, Shiho, Yoshimi, Yuki, Okazaki, Shota, Sano, Mizuho, Koizumi, Yuma, Peng, Tzu-Yu, Kakimoto, Naoya, Murayama, Takeshi, Tanimoto, Kotaro

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  10. 10
    RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study

    RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study by Okazaki, Shota, Mine, Yuichi, Yoshimi, Yuki, Iwamoto, Yuko, Ito, Shota, Peng, Tzu-Yu, Nishimura, Taku, Suehiro, Tomoya, Koizumi, Yuma, Nomura, Ryota, Tanimoto, Kotaro, Kakimoto, Naoya, Murayama, Takeshi

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