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Shinobu Kumagai

Showing results (1-10 of 9) with videos related to

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Cureus|December 31, 2025
A Practical Study of Data Requirements for Self-Supervised Learning in Medical Image AnalysisMitsuki Hommyo, Takumasa Tsuji, Shinobu Kumagai, et al.
Journal of Imaging Informatics in Medicine|December 5, 2024
Cone Beam Computed Tomography Image-Quality Improvement Using "One-Shot" Super-resolutionTakumasa Tsuji, Soichiro Yoshida, Mitsuki Hommyo, et al.
BMC Medical Imaging|May 10, 2023
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networksTakumasa Tsuji, Yukina Hirata, Kenya Kusunose, et al.
Journal of Radiation Research|April 17, 2018
Image quality improvement in cone-beam CT using the super-resolution techniqueAsuka Oyama, Shinobu Kumagai, Norikazu Arai, et al.
Journal of Applied Clinical Medical Physics|October 31, 2020
Calculating and estimating second cancer risk from breast radiotherapy using Monte Carlo code with internal body scatter for each out-of-field organTakeshi Takata, Kenshiro Shiraishi, Shinobu Kumagai, et al.
Scientific Reports|June 21, 2019
Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approachAsuka Oyama, Yasuaki Hiraoka, Ippei Obayashi, et al.
Journal of Contemporary Brachytherapy|March 20, 2020
First experience of <sup>192</sup>Ir source stuck event during high-dose-rate brachytherapy in JapanShinobu Kumagai, Norikazu Arai, Takeshi Takata, et al.
Journal of Radiation Research|November 15, 2017
Fast skin dose estimation system for interventional radiologyTakeshi Takata, Jun'ichi Kotoku, Hideyuki Maejima, et al.
Journal of Radiation Research|January 14, 2026
A national survey of the clinical practice of surface-guided radiation therapy in JapanRyohei Yamauchi, Masahide Saito, Hironori Kojima, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Cureus|December 31, 2025
A Practical Study of Data Requirements for Self-Supervised Learning in Medical Image AnalysisMitsuki Hommyo, Takumasa Tsuji, Shinobu Kumagai, et al.
Journal of Imaging Informatics in Medicine|December 5, 2024
Cone Beam Computed Tomography Image-Quality Improvement Using "One-Shot" Super-resolutionTakumasa Tsuji, Soichiro Yoshida, Mitsuki Hommyo, et al.
BMC Medical Imaging|May 10, 2023
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networksTakumasa Tsuji, Yukina Hirata, Kenya Kusunose, et al.
Journal of Radiation Research|April 17, 2018
Image quality improvement in cone-beam CT using the super-resolution techniqueAsuka Oyama, Shinobu Kumagai, Norikazu Arai, et al.
Journal of Applied Clinical Medical Physics|October 31, 2020
Calculating and estimating second cancer risk from breast radiotherapy using Monte Carlo code with internal body scatter for each out-of-field organTakeshi Takata, Kenshiro Shiraishi, Shinobu Kumagai, et al.
Scientific Reports|June 21, 2019
Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approachAsuka Oyama, Yasuaki Hiraoka, Ippei Obayashi, et al.
Journal of Contemporary Brachytherapy|March 20, 2020
First experience of <sup>192</sup>Ir source stuck event during high-dose-rate brachytherapy in JapanShinobu Kumagai, Norikazu Arai, Takeshi Takata, et al.
Journal of Radiation Research|November 15, 2017
Fast skin dose estimation system for interventional radiologyTakeshi Takata, Jun'ichi Kotoku, Hideyuki Maejima, et al.
Journal of Radiation Research|January 14, 2026
A national survey of the clinical practice of surface-guided radiation therapy in JapanRyohei Yamauchi, Masahide Saito, Hironori Kojima, et al.
Pageof 1