Search Results - "Yoshida, Akifumi"

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  1. 1

    Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks by Hirono, Yuta, Kai, Chiharu, Yoshida, Akifumi, Sato, Ikumi, Kodama, Naoki, Uchida, Fumikage, Kasai, Satoshi

    Published in Frontiers in physiology (08-07-2024)
    “…Cardiotocography (CTG) measurements are critical for assessing fetal wellbeing during monitoring, and accurate assessment requires well-traceable CTG signals…”
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    Journal Article
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    U-Net-based image segmentation of the whole heart and four chambers on pediatric X-ray computed tomography by Yoshida, Akifumi, Kondo, Yohan, Yoshimura, Norihiko, Kuramoto, Tatsuya, Hasegawa, Akira, Kanazawa, Tsutomu

    Published in Radiological physics and technology (01-06-2022)
    “…This study aimed to determine whether a U-Net-based segmentation method could be used to automatically extract regions of the whole heart and atrioventricular…”
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    Journal Article
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    The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals by Hirono, Yuta, Sato, Ikumi, Kai, Chiharu, Yoshida, Akifumi, Kodama, Naoki, Uchida, Fumikage, Kasai, Satoshi

    Published in Bioengineering (Basel) (28-06-2024)
    “…Cardiotocography (CTG) is widely used to assess fetal well-being. CTG is typically obtained using ultrasound and autocorrelation methods, which extract…”
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    Journal Article
  5. 5

    The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists by Kai, Chiharu, Morita, Takako, Sato, Ikumi, Yoshida, Akifumi, Kodama, Naoki, Kasai, Satoshi

    Published in Curēus (Palo Alto, CA) (17-06-2024)
    “…Breast density determined by breast radiologists and also automatically estimated by applications has been widely investigated. However, no study has yet…”
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    Journal Article
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    Spirometry test values can be estimated from a single chest radiograph by Yoshida, Akifumi, Kai, Chiharu, Futamura, Hitoshi, Oochi, Kunihiko, Kondo, Satoshi, Sato, Ikumi, Kasai, Satoshi

    Published in Frontiers in medicine (06-03-2024)
    “…Physical measurements of expiratory flow volume and speed can be obtained using spirometry. These measurements have been used for the diagnosis and risk…”
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    Journal Article
  7. 7

    Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms by Kai, Chiharu, Kondo, Satoshi, Otsuka, Tsunehiro, Yoshida, Akifumi, Sato, Ikumi, Futamura, Hitoshi, Kodama, Naoki, Kasai, Satoshi

    Published in Diagnostics (Basel) (29-05-2024)
    “…A comparative interpretation of mammograms has become increasingly important, and it is crucial to develop subtraction processing and registration methods for…”
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    Journal Article
  8. 8

    Automated heart segmentation using U-Net in pediatric cardiac CT by Yoshida, Akifumi, Lee, Yongbum, Yoshimura, Norihiko, Kuramoto, Tatsuya, Hasegawa, Akira, Kanazawa, Tsutomu

    Published in Measurement. Sensors (01-12-2021)
    “…This study investigated the usefulness of deep learning methods for segmenting the whole heart region and the cardiac cavity region in pediatric cardiac CT…”
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    Journal Article
  9. 9

    Fragment shapes in impact experiments ranging from cratering to catastrophic disruption by Michikami, Tatsuhiro, Hagermann, Axel, Kadokawa, Tokiyuki, Yoshida, Akifumi, Shimada, Akira, Hasegawa, Sunao, Tsuchiyama, Akira

    Published in Icarus (New York, N.Y. 1962) (15-01-2016)
    “…•Fragment shapes become flatter as they come close to cratering.•As a general rule, target shape does not influence the fragment shape.•Our experiments support…”
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    Journal Article
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    Propagation and focusing of Gaussian laser beams beyond conventional diffraction limit by Yoshida, Akifumi, Asakura, Toshimitsu

    Published in Optics communications (01-02-1996)
    “…It has been commonly assumed that the maximum focused intensity of a Gaussian laser beam is obtained at the beam waist position by focusing with perfect…”
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    Journal Article
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    Observability of perspective dynamical systems by Inaba, H., Yoshida, A., Abdursul, R., Ghosh, B.K.

    “…Perspective dynamical systems arise in machine vision, and the essential problem in such a system is how to determine any unknown states and/or any unknown…”
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    Conference Proceeding
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