Selection of Radiological Physics and Technology Awards 2023
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12194-024-00781-2.pdf
Reference7 articles.
1. Kanematsu N, Araki F, Kodera Y, et al. Announcement of nominations for the Radiological Physics and Technology awards 2022. Radiol Phys Technol. 2023;16:8–9. https://doi.org/10.1007/s12194-023-00699-1.
2. Narita A, Ohsugi Y, Ohkubo M, et al. Method for measuring noise-power spectrum independent of the effect of extracting the region of interest from a noise image. Radiol Phys Technol. 2023;16:471–7. https://doi.org/10.1007/s12194-023-00733-2.
3. Nitta M, Nishikido F, Inadama N, et al. Discrimination of inter-crystal scattering events by signal processing for the X’tal cube PET detector. Radiol Phys Technol. 2023;16:516–31. https://doi.org/10.1007/s12194-023-00740-3.
4. Oguma K, Magome T, Someya M, et al. Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data. Radiol Phys Technol. 2023;16:262–71. https://doi.org/10.1007/s12194-023-00715-4.
5. Nishitani Y, Nakayama R, Hayashi D, et al. Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge. Radiol Phys Technol. 2021;14:64–9. https://doi.org/10.1007/s12194-020-00603-1.
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