IIDA, Yukihiro, NÄPPI, Janne, KITANO, Tomoya, HIRONAKA, Toru, KATSUMATA, Akitoshi und YOSHIDA, Hiroyuki, 2023. Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning. Oral Radiology. 1 Juli 2023. Vol. 39, no. 3, p. 553-562. DOI 10.1007/s11282-023-00669-8.
Elsevier - Harvard (with titles)Iida, Y., Näppi, J., Kitano, T., Hironaka, T., Katsumata, A., Yoshida, H., 2023. Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning. Oral Radiology 39, 553-562. https://doi.org/10.1007/s11282-023-00669-8
American Psychological Association 7th editionIida, Y., Näppi, J., Kitano, T., Hironaka, T., Katsumata, A., & Yoshida, H. (2023). Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning. Oral Radiology, 39(3), 553-562. https://doi.org/10.1007/s11282-023-00669-8
Springer - Basic (author-date)Iida Y, Näppi J, Kitano T, Hironaka T, Katsumata A, Yoshida H (2023) Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning.. Oral Radiology 39:553-562. https://doi.org/10.1007/s11282-023-00669-8
Juristische Zitierweise (Stüber) (Deutsch)Iida, Yukihiro/ Näppi, Janne/ Kitano, Tomoya/ Hironaka, Toru/ Katsumata, Akitoshi/ Yoshida, Hiroyuki, Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning., Oral Radiology 2023, 553-562.