Search Results - "Uemura, Tomoki"

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  1. 1

    Low illumination underwater light field images reconstruction using deep convolutional neural networks by Lu, Huimin, Li, Yujie, Uemura, Tomoki, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Future generation computer systems (01-05-2018)
    “…Underwater optical images are usually influenced by low lighting, high turbidity scattering and wavelength absorption. To solve these issues, a great deal of…”
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    Journal Article
  2. 2

    Deep-Sea Organisms Tracking Using Dehazing and Deep Learning by Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-06-2020)
    “…Deep-sea organism automatic tracking has rarely been studied because of a lack of training data. However, it is extremely important for underwater robots to…”
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    Journal Article
  3. 3

    U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19 by Näppi, Janne J., Uemura, Tomoki, Watari, Chinatsu, Hironaka, Toru, Kamiya, Tohru, Yoshida, Hiroyuki

    Published in Scientific reports (29-04-2021)
    “…The rapid increase of patients with coronavirus disease 2019 (COVID-19) has introduced major challenges to healthcare services worldwide. Therefore, fast and…”
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    Journal Article
  4. 4

    A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography by Uemura, Tomoki, Näppi, Janne J., Ryu, Yasuji, Watari, Chinatsu, Kamiya, Tohru, Yoshida, Hiroyuki

    “…Purpose Deep learning can be used for improving the performance of computer-aided detection (CADe) in various medical imaging tasks. However, in computed…”
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    Journal Article
  5. 5

    Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning by Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-12-2020)
    “…The original version of this article unfortunately contained a mistake in the Affiliation section…”
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    Journal Article
  6. 6

    Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering by Huimin Lu, Yin Zhang, Yujie Li, Quan Zhou, Tadoh, Ryunosuke, Uemura, Tomoki, Hyoungseop Kim, Serikawa, Seiichi

    Published in IEEE access (2017)
    “…Underwater optical cameras are widely used for security monitoring in ocean, such as earthquake prediction and tsunami alarming. Optical cameras recognize…”
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    Journal Article
  7. 7

    FDCNet: filtering deep convolutional network for marine organism classification by Lu, Huimin, Li, Yujie, Uemura, Tomoki, Ge, Zongyuan, Xu, Xing, He, Li, Serikawa, Seiichi, Kim, Hyoungseop

    Published in Multimedia tools and applications (01-09-2018)
    “…Convolutional networks are currently the most popular computer vision methods for a wide variety of applications in multimedia research fields. Most recent…”
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    Journal Article
  8. 8
  9. 9

    Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT by Uemura, Tomoki, Näppi, Janne J., Watari, Chinatsu, Hironaka, Toru, Kamiya, Tohru, Yoshida, Hiroyuki

    Published in Medical image analysis (01-10-2021)
    “…•Fully automated image-based prognostic prediction.•Weakly unsupervised conditional generative adversarial time-to-event model.•Automated image-based…”
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    Journal Article
  10. 10

    Effect of crystalline quality of diamond film to the propagation loss of surface acoustic wave devices by Fujii, S., Shikata, S., Uemura, T., Nakahata, H., Harima, H.

    “…Diamond films with various crystal qualities were grown by chemical vapor deposition on silicon wafers. Their crystallinity was characterized by Raman…”
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    Journal Article
  11. 11

    A Key Recovery Algorithm Using Random Key Leakage from AES Key Schedule by Uemura, Tomoki, Watanabe, Yohei, Li, Yang, Miura, Noriyuki, Iwamoto, Mitsugu, Sakiyama, Kazuo, Ohta, Kazuo

    “…A key recovery algorithm using parts of the key schedules is proposed for evaluating the threat of probing attack. Suppose that we have an information leakage…”
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    Conference Proceeding
  12. 12

    Study on Surface Acoustic Wave Characteristics of SiO 2 /Interdigital-Transducer/ZnO/Diamond Structure and Fabrication of 2.5 GHz Narrow Band Filter by Nakahata, Hideaki, Kitabayashi, Hiroyuki, Uemura, Tomoki, Hachigo, Akihiro, Higaki, Kenjiro, Fujii, Satoshi, Seki, Yuichiro, Yoshida, Kentaro, Shikata, Shin-ichi

    Published in Japanese Journal of Applied Physics (01-05-1998)
    “…Surface acoustic wave (SAW) characteristics of the SiO 2 /interdigital-transducer(IDT)/ZnO/diamond structure were studied theoretically and experimentally. It…”
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    Journal Article