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Ayano Kikuyama

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

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European Journal of Radiology|October 11, 2011
Pulmonary nodules: effect of adaptive statistical iterative reconstruction (ASIR) technique on performance of a computer-aided detection (CAD) system-comparison of performance between different-dose CT scansMasahiro Yanagawa, Osamu Honda, Ayano Kikuyama, et al.
Academic Radiology|July 17, 2010
Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CTMasahiro Yanagawa, Osamu Honda, Shigeyuki Yoshida, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|October 5, 2011
Detection of pulmonary nodules by C-arm CT using a phantom lung: comparison with CTHiroki Higashihara, Keigo Osuga, Takeo Azuma, et al.
Journal of Bronchology & Interventional Pulmonology|November 22, 2012
A feasibility and efficacy study on bronchoscopy with a virtual navigation systemHideyasu Omiya, Ayano Kikuyama, Akihito Kubo, et al.
Radiology|May 27, 2010
Multidetector CT of the lung: image quality with garnet-based detectorsMasahiro Yanagawa, Noriyuki Tomiyama, Osamu Honda, et al.
Journal of Computer Assisted Tomography|September 19, 2013
The effect of the virtual monochromatic spectral imaging for the metallic artifact and the pulmonary nodule detectionTomoko Gyobu, Osamu Honda, Yutaka Kawata, et al.
Academic Radiology|April 20, 2010
CT-guided percutaneous cutting needle biopsy of thymic epithelial tumors comparison to the accuracy of computed tomographic diagnosis according to the world health organization classificationMasahiro Yanagawa, Noriyuki Tomiyama, Osamu Honda, et al.
Academic Radiology|January 7, 2012
Lung image quality with 320-row wide-volume CT scans: the effect of prospective ECG-gating and comparisons with 64-row helical CT scansTsuneo Yamashiro, Tetsuhiro Miyara, Masashi Takahashi, et al.
Scientific Reports|January 19, 2024
"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitalsNaoki Okada, Yutaka Umemura, Shoi Shi, et al.
Pageof 1

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

Sort By:
Pageof 1
European Journal of Radiology|October 11, 2011
Pulmonary nodules: effect of adaptive statistical iterative reconstruction (ASIR) technique on performance of a computer-aided detection (CAD) system-comparison of performance between different-dose CT scansMasahiro Yanagawa, Osamu Honda, Ayano Kikuyama, et al.
Academic Radiology|July 17, 2010
Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CTMasahiro Yanagawa, Osamu Honda, Shigeyuki Yoshida, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|October 5, 2011
Detection of pulmonary nodules by C-arm CT using a phantom lung: comparison with CTHiroki Higashihara, Keigo Osuga, Takeo Azuma, et al.
Journal of Bronchology & Interventional Pulmonology|November 22, 2012
A feasibility and efficacy study on bronchoscopy with a virtual navigation systemHideyasu Omiya, Ayano Kikuyama, Akihito Kubo, et al.
Radiology|May 27, 2010
Multidetector CT of the lung: image quality with garnet-based detectorsMasahiro Yanagawa, Noriyuki Tomiyama, Osamu Honda, et al.
Journal of Computer Assisted Tomography|September 19, 2013
The effect of the virtual monochromatic spectral imaging for the metallic artifact and the pulmonary nodule detectionTomoko Gyobu, Osamu Honda, Yutaka Kawata, et al.
Academic Radiology|April 20, 2010
CT-guided percutaneous cutting needle biopsy of thymic epithelial tumors comparison to the accuracy of computed tomographic diagnosis according to the world health organization classificationMasahiro Yanagawa, Noriyuki Tomiyama, Osamu Honda, et al.
Academic Radiology|January 7, 2012
Lung image quality with 320-row wide-volume CT scans: the effect of prospective ECG-gating and comparisons with 64-row helical CT scansTsuneo Yamashiro, Tetsuhiro Miyara, Masashi Takahashi, et al.
Scientific Reports|January 19, 2024
"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitalsNaoki Okada, Yutaka Umemura, Shoi Shi, et al.
Pageof 1