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Yutaka Katayama

Showing results (1-10 of 22) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2019
[9. Image Display, Processing and Analysis]Yutaka Katayama
Nihon Hoshasen Gijutsu Gakkai Zasshi|December 20, 2021
[10. Latest Artificial Intelligence Technologies]Yutaka Katayama
Radiological Physics and Technology|May 23, 2025
Generalizable AI approach for detecting projection type and left-right reversal in chest X-raysYukino Ohta, Yutaka Katayama, Takao Ichida, et al.
Radiological Physics and Technology|February 14, 2016
Usefulness of standardized uptake value normalized by individual CT-based lean body mass in application of PET response criteria in solid tumors (PERCIST)Atsushi Narita, Susumu Shiomi, Yutaka Katayama, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|January 21, 2021
[How AI Will Change Medical Care: The Future of Radiology]Hideyuki Iwanaga, Yutaka Katayama, Ikuo Kawashita, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 9, 2022
[Development of Dose Management Software Using Visual Basic for Applications and Dose Evaluation in the Field of Nuclear Medicine]Yukinobu Wakita, Takashi Yamanaga, Yutaka Katayama, et al.
Plos One|November 21, 2024
Investigation of the effectiveness of no-reference metric in image evaluation in nuclear medicineShigeaki Higashiyama, Yutaka Katayama, Atsushi Yoshida, et al.
Annals of Nuclear Medicine|February 19, 2022
Deep learning-based detection of parathyroid adenoma by <sup>99m</sup>Tc-MIBI scintigraphy in patients with primary hyperparathyroidismAtsushi Yoshida, Daiju Ueda, Shigeaki Higashiyama, et al.
Journal of Imaging Informatics in Medicine|May 28, 2026
Uncertainty-Aware Super-Resolution for Mammography Phantoms using a Dropout-Enabled SwinIRYutaka Katayama, Shinsaku Hiura, Rie Tanaka, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 22, 2016
Understanding the Scatter Radiation Distribution during C-arm CT Examination: A Body Phantom StudyToshiyo Norimasa, Akihiko Kakimi, Yoshinori Takao, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2019
[9. Image Display, Processing and Analysis]Yutaka Katayama
Nihon Hoshasen Gijutsu Gakkai Zasshi|December 20, 2021
[10. Latest Artificial Intelligence Technologies]Yutaka Katayama
Radiological Physics and Technology|May 23, 2025
Generalizable AI approach for detecting projection type and left-right reversal in chest X-raysYukino Ohta, Yutaka Katayama, Takao Ichida, et al.
Radiological Physics and Technology|February 14, 2016
Usefulness of standardized uptake value normalized by individual CT-based lean body mass in application of PET response criteria in solid tumors (PERCIST)Atsushi Narita, Susumu Shiomi, Yutaka Katayama, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|January 21, 2021
[How AI Will Change Medical Care: The Future of Radiology]Hideyuki Iwanaga, Yutaka Katayama, Ikuo Kawashita, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 9, 2022
[Development of Dose Management Software Using Visual Basic for Applications and Dose Evaluation in the Field of Nuclear Medicine]Yukinobu Wakita, Takashi Yamanaga, Yutaka Katayama, et al.
Plos One|November 21, 2024
Investigation of the effectiveness of no-reference metric in image evaluation in nuclear medicineShigeaki Higashiyama, Yutaka Katayama, Atsushi Yoshida, et al.
Annals of Nuclear Medicine|February 19, 2022
Deep learning-based detection of parathyroid adenoma by <sup>99m</sup>Tc-MIBI scintigraphy in patients with primary hyperparathyroidismAtsushi Yoshida, Daiju Ueda, Shigeaki Higashiyama, et al.
Journal of Imaging Informatics in Medicine|May 28, 2026
Uncertainty-Aware Super-Resolution for Mammography Phantoms using a Dropout-Enabled SwinIRYutaka Katayama, Shinsaku Hiura, Rie Tanaka, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 22, 2016
Understanding the Scatter Radiation Distribution during C-arm CT Examination: A Body Phantom StudyToshiyo Norimasa, Akihiko Kakimi, Yoshinori Takao, et al.
Pageof 3