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Akinori Hata

Showing results (1-10 of 63) with videos related to

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Journal of Computer Assisted Tomography|June 30, 2018
Pulmonary Emphysema Quantification on Ultra-Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung SettingAkinori Hata, Masahiro Yanagawa, Noriko Kikuchi, et al.
Medicine|May 31, 2019
Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung settingAkinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Radiology|August 10, 2021
Interstitial Lung Abnormalities: State of the ArtAkinori Hata, Mark L Schiebler, David A Lynch, et al.
European Radiology|March 19, 2016
Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom studyAkinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Cancers|February 11, 2023
Immune-Related Thyroiditis in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors: Imaging Features and Clinical ImplicationsHyesun Park, Akinori Hata, Hiroto Hatabu, et al.
Korean Journal of Radiology|February 5, 2021
Spectrum of Pulmonary Fibrosis from Interstitial Lung Abnormality to Usual Interstitial Pneumonia: Importance of Identification and Quantification of Traction Bronchiectasis in Patient ManagementTakuya Hino, Kyung Soo Lee, Joungho Han, et al.
AJR. American Journal of Roentgenology|October 14, 2020
Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS EvaluationAkinori Hata, Masahiro Yanagawa, Yuriko Yoshida, et al.
Acta Radiologica Open|October 9, 2024
Differential diagnosis between low-risk and high-risk thymoma: Comparison of diagnostic performance of radiologists with and without deep learning modelYuriko Yoshida, Masahiro Yanagawa, Yukihisa Sato, et al.
Academic Radiology|January 27, 2018
Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512 × 512, 1024 × 1024, and 2048 × 2048Akinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Rheumatology (Oxford, England)|September 16, 2021
Vascular imaging of patients with refractory Takayasu arteritis treated with tocilizumab: post hoc analysis of a randomized controlled trialYoshikazu Nakaoka, Masahiro Yanagawa, Akinori Hata, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Journal of Computer Assisted Tomography|June 30, 2018
Pulmonary Emphysema Quantification on Ultra-Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung SettingAkinori Hata, Masahiro Yanagawa, Noriko Kikuchi, et al.
Medicine|May 31, 2019
Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung settingAkinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Radiology|August 10, 2021
Interstitial Lung Abnormalities: State of the ArtAkinori Hata, Mark L Schiebler, David A Lynch, et al.
European Radiology|March 19, 2016
Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom studyAkinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Cancers|February 11, 2023
Immune-Related Thyroiditis in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors: Imaging Features and Clinical ImplicationsHyesun Park, Akinori Hata, Hiroto Hatabu, et al.
Korean Journal of Radiology|February 5, 2021
Spectrum of Pulmonary Fibrosis from Interstitial Lung Abnormality to Usual Interstitial Pneumonia: Importance of Identification and Quantification of Traction Bronchiectasis in Patient ManagementTakuya Hino, Kyung Soo Lee, Joungho Han, et al.
AJR. American Journal of Roentgenology|October 14, 2020
Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS EvaluationAkinori Hata, Masahiro Yanagawa, Yuriko Yoshida, et al.
Acta Radiologica Open|October 9, 2024
Differential diagnosis between low-risk and high-risk thymoma: Comparison of diagnostic performance of radiologists with and without deep learning modelYuriko Yoshida, Masahiro Yanagawa, Yukihisa Sato, et al.
Academic Radiology|January 27, 2018
Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512 × 512, 1024 × 1024, and 2048 × 2048Akinori Hata, Masahiro Yanagawa, Osamu Honda, et al.
Rheumatology (Oxford, England)|September 16, 2021
Vascular imaging of patients with refractory Takayasu arteritis treated with tocilizumab: post hoc analysis of a randomized controlled trialYoshikazu Nakaoka, Masahiro Yanagawa, Akinori Hata, et al.
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