Search Results - "Sukegawa, Shintaro"

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  1. 1

    Application of computer-assisted navigation systems in oral and maxillofacial surgery by Sukegawa, Shintaro, Kanno, Takahiro, Furuki, Yoshihiko

    Published in The Japanese dental science review (01-08-2018)
    “…The oral and maxillofacial region has a complicated anatomy with critical contiguous organs, including the brain, eyes, vital teeth, and complex networks of…”
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    Journal Article
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    Overview of innovative advances in bioresorbable plate systems for oral and maxillofacial surgery by Kanno, Takahiro, Sukegawa, Shintaro, Furuki, Yoshihiko, Nariai, Yoshiki, Sekine, Joji

    Published in The Japanese dental science review (01-08-2018)
    “…Maxillofacial osteosynthetic surgeries require stable fixation for uneventful boney healing and optimal remodeling. Although conventional titanium plates and…”
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    Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates by Sukegawa, Shintaro, Fujimura, Ai, Taguchi, Akira, Yamamoto, Norio, Kitamura, Akira, Goto, Ryosuke, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Scientific reports (12-04-2022)
    “…Osteoporosis is becoming a global health issue due to increased life expectancy. However, it is difficult to detect in its early stages owing to a lack of…”
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    Evaluation of multi-task learning in deep learning-based positioning classification of mandibular third molars by Sukegawa, Shintaro, Matsuyama, Tamamo, Tanaka, Futa, Hara, Takeshi, Yoshii, Kazumasa, Yamashita, Katsusuke, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Scientific reports (13-01-2022)
    “…Pell and Gregory, and Winter’s classifications are frequently implemented to classify the mandibular third molars and are crucial for safe tooth extraction…”
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  5. 5

    Deep Neural Networks for Dental Implant System Classification by Sukegawa, Shintaro, Yoshii, Kazumasa, Hara, Takeshi, Yamashita, Katsusuke, Nakano, Keisuke, Yamamoto, Norio, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Biomolecules (Basel, Switzerland) (01-07-2020)
    “…In this study, we used panoramic X-ray images to classify and clarify the accuracy of different dental implant brands via deep convolutional neural networks…”
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  6. 6

    Clinical Evaluation of an Unsintered Hydroxyapatite/Poly-L-Lactide Osteoconductive Composite Device for the Internal Fixation of Maxillofacial Fractures by Sukegawa, Shintaro, Kanno, Takahiro, Katase, Naoki, Shibata, Akane, Takahashi, Yuka, Furuki, Yoshihiko

    Published in The Journal of craniofacial surgery (01-09-2016)
    “…OSTEOTRANS MX (Takiron Co, Ltd, Osaka, Japan) is a resorbable osteosynthetic material composed of an unsintered hydroxyapatite/poly-L-lactide composite, and…”
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  7. 7

    Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography by Sukegawa, Shintaro, Tanaka, Futa, Hara, Takeshi, Yoshii, Kazumasa, Yamashita, Katsusuke, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Scientific reports (08-10-2022)
    “…In this study, the accuracy of the positional relationship of the contact between the inferior alveolar canal and mandibular third molar was evaluated using…”
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  8. 8

    Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates by Yamamoto, Norio, Sukegawa, Shintaro, Kitamura, Akira, Goto, Ryosuke, Noda, Tomoyuki, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Kawasaki, Keisuke, Furuki, Yoshihiko, Ozaki, Toshifumi

    Published in Biomolecules (Basel, Switzerland) (10-11-2020)
    “…This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whether adding clinical data improves diagnostic performance…”
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  9. 9

    Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning? by Sukegawa, Shintaro, Yoshii, Kazumasa, Hara, Takeshi, Tanaka, Futa, Yamashita, Katsusuke, Kagaya, Tutaro, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in PloS one (27-07-2022)
    “…Attention mechanism, which is a means of determining which part of the forced data is emphasized, has attracted attention in various fields of deep learning in…”
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    Effective deep learning for oral exfoliative cytology classification by Sukegawa, Shintaro, Tanaka, Futa, Nakano, Keisuke, Hara, Takeshi, Yoshii, Kazumasa, Yamashita, Katsusuke, Ono, Sawako, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Scientific reports (02-08-2022)
    “…The use of sharpness aware minimization (SAM) as an optimizer that achieves high performance for convolutional neural networks (CNNs) is attracting attention…”
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  14. 14

    Complications of a poly-L-lactic acid and polyglycolic acid osteosynthesis device for internal fixation in maxillofacial surgery by Sukegawa, Shintaro, Kanno, Takahiro, Matsumoto, Kenichi, Sukegawa-Takahashi, Yuka, Masui, Masanori, Furuki, Yoshihiko

    Published in Odontology (01-10-2018)
    “…[Abstract] The purpose of this study was to retrospectively evaluate and examine the incidence of complications using poly-L-lactic acid and polyglycolic acid…”
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  15. 15

    Clinical study on primary screening of oral cancer and precancerous lesions by oral cytology by Sukegawa, Shintaro, Ono, Sawako, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Diagnostic pathology (10-09-2020)
    “…Abstract Background This study was conducted to compare the histological diagnostic accuracy of conventional oral-based cytology and liquid-based cytology…”
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    Impact of the Stroma on the Biological Characteristics of the Parenchyma in Oral Squamous Cell Carcinoma by Takabatake, Kiyofumi, Kawai, Hotaka, Omori, Haruka, Qiusheng, Shan, Oo, May Wathone, Sukegawa, Shintaro, Nakano, Keisuke, Tsujigiwa, Hidetsugu, Nagatsuka, Hitoshi

    “…Solid tumors consist of the tumor parenchyma and stroma. The standard concept of oncology is that the tumor parenchyma regulates the tumor stroma and promotes…”
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  17. 17

    Biological Effects of Bioresorbable Materials in Alveolar Ridge Augmentation: Comparison of Early and Slow Resorbing Osteosynthesis Materials by Kawai, Hotaka, Sukegawa, Shintaro, Nakano, Keisuke, Takabatake, Kiyofumi, Ono, Sawako, Nagatsuka, Hitoshi, Furuki, Yoshihiko

    Published in Materials (14-06-2021)
    “…The purpose of this study was to investigate the bone healing properties and histological environment of a u-HA/PLLA/PGA (u-HA—uncalcined and unsintered…”
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    Bone Regeneration Capacity of Newly Developed Uncalcined/Unsintered Hydroxyapatite and Poly-l-lactide-co-glycolide Sheet in Maxillofacial Surgery: An In Vivo Study by Ngo, Huy Xuan, Dong, Quang Ngoc, Bai, Yunpeng, Sha, Jingjing, Ishizuka, Shinji, Okui, Tatsuo, Sukegawa, Shintaro, Kanno, Takahiro

    Published in Nanomaterials (Basel, Switzerland) (24-12-2020)
    “…Uncalcined/unsintered hydroxyapatite and poly-l-lactide-co-glycolide (u-HA/PLLA/PGA) is a new bioresorbable nanomaterial with superior characteristics compared…”
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    The Role of Sonic Hedgehog Signaling in the Tumor Microenvironment of Oral Squamous Cell Carcinoma by Takabatake, Kiyofumi, Shimo, Tsuyoshi, Murakami, Jun, Anqi, Chang, Kawai, Hotaka, Yoshida, Saori, Wathone Oo, May, Haruka, Omori, Sukegawa, Shintaro, Tsujigiwa, Hidetsugu, Nakano, Keisuke, Nagatsuka, Hitoshi

    “…Sonic hedgehog (SHH) and its signaling have been identified in several human cancers, and increased levels of SHH expression appear to correlate with cancer…”
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