Hasil Pencarian - Hiroyuki Tatekawa

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  1. 1
    Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz

    Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz oleh Daiju Ueda, Shannon L. Walston, Toshimasa Matsumoto, Ryo Deguchi, Hiroyuki Tatekawa, Yukio Miki

    Diterbitkan 2024-01-01
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  2. 2
    Differentiation of Brain Metastases and Gliomas Based on Color Map of Phase Difference Enhanced Imaging

    Differentiation of Brain Metastases and Gliomas Based on Color Map of Phase Difference Enhanced Imaging oleh Satoshi Doishita, Shinichi Sakamoto, Tetsuya Yoneda, Takehiro Uda, Taro Tsukamoto, Eiji Yamada, Masami Yoneyama, Daisuke Kimura, Yutaka Katayama, Hiroyuki Tatekawa, Taro Shimono, Kenji Ohata, Yukio Miki

    Diterbitkan 2018-09-01
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  3. 3
    Deep learning-based diffusion tensor image generation model: a proof-of-concept study

    Deep learning-based diffusion tensor image generation model: a proof-of-concept study oleh Hiroyuki Tatekawa, Daiju Ueda, Hirotaka Takita, Toshimasa Matsumoto, Shannon L. Walston, Yasuhito Mitsuyama, Daisuke Horiuchi, Shu Matsushita, Tatsushi Oura, Yuichiro Tomita, Taro Tsukamoto, Taro Shimono, Yukio Miki

    Diterbitkan 2024-02-01
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  4. 4
    Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET

    Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET oleh Hiroyuki Tatekawa, Akifumi Hagiwara, Hiroyuki Uetani, Shadfar Bahri, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson

    Diterbitkan 2021-03-01
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  5. 5
    Visualization of tumor heterogeneity and prediction of isocitrate dehydrogenase mutation status for human gliomas using multiparametric physiologic and metabolic MRI

    Visualization of tumor heterogeneity and prediction of isocitrate dehydrogenase mutation status for human gliomas using multiparametric physiologic and metabolic MRI oleh Akifumi Hagiwara, Hiroyuki Tatekawa, Jingwen Yao, Catalina Raymond, Richard Everson, Kunal Patel, Sergey Mareninov, William H. Yong, Noriko Salamon, Whitney B. Pope, Phioanh L. Nghiemphu, Linda M. Liau, Timothy F. Cloughesy, Benjamin M. Ellingson

    Diterbitkan 2022-01-01
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  6. 6
    Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.

    Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets. oleh Daiju Ueda, Akira Yamamoto, Naoyoshi Onoda, Tsutomu Takashima, Satoru Noda, Shinichiro Kashiwagi, Tamami Morisaki, Shinya Fukumoto, Masatsugu Shiba, Mina Morimura, Taro Shimono, Ken Kageyama, Hiroyuki Tatekawa, Kazuki Murai, Takashi Honjo, Akitoshi Shimazaki, Daijiro Kabata, Yukio Miki

    Diterbitkan 2022-01-01
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