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An introduction to photon-counting detector CT (PCD CT) for radiologists

Japanese journal of radiology, 2023-03, Vol.41 (3), p.266-282

2023

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Global illumination rendering versus volume rendering for the forensic evaluation of stab wounds using computed tomography

Scientific reports, 2022-02, Vol.12 (1), p.2452-2452, Article 2452

2022

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Improvement of Spatial Resolution on Coronary CT Angiography by Using Super-Resolution Deep Learning Reconstruction

Academic radiology, 2023-11, Vol.30 (11), p.2497-2504

2023

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Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest

Japanese journal of radiology, 2024-08, Vol.42 (8), p.825-831

2024

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Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Scientific reports, 2023-03, Vol.13 (1), p.3636-3636, Article 3636

2023

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Iodine maps derived from sparse-view kV-switching dual-energy CT equipped with a deep learning reconstruction for diagnosis of hepatocellular carcinoma

Scientific reports, 2023-03, Vol.13 (1), p.3603-11, Article 3603

2023

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Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study

European journal of radiology Open, 2024-06, Vol.12, p.100570-100570, Article 100570

2024

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Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods

Radiological physics and technology, 2014-07, Vol.7 (2), p.217-227

2014

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Development of computer‐aided medical care support system based on image recognition/processing technique: from diagnostic support to medical support

Medical Imaging and Information Sciences, 2014, Vol.31(2), pp.xviii-xxii

KAWASHITA, Ikuo

2014

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What has changed / will change in diagnostic imaging with the new CT technologies?

Medical Imaging and Information Sciences, 2021/09/27, Vol.38(3), pp.114-120

2021

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Effect of DCNN Super-Resolution Processing on Dynamic Processing in Digital Radiography (DR)

Medical Imaging and Information Sciences, 2020/06/26, Vol.37(2), pp.21-27

2020

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Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages

Journal of digital imaging, 2017-08, Vol.30 (4), p.413-426

2017

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Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT

Acta radiologica (1987), 2024-10, p.2841851241288507

2024

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Development of a deep-learning algorithm for age estimation on CT images of the vertebral column

Legal medicine (Tokyo, Japan), 2024-07, Vol.69, p.102444, Article 102444

2024

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The Utility of e-Learning

Nippon Hōshasen Gijutsu Gakkai zasshi, 2014-10, Vol.70 (10), p.i-i

Kawashita, Ikuo

2014

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The Utility of e-Learning

Japanese Journal of Radiological Technology, 2014, Vol.70(10), pp.i-i

Kawashita, Ikuo

2014

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Development of computer-aided medical care support system based on image recognition/processing technique

Medical imaging and information sciences, 2014-04, Vol.31 (2), p.xviii-xviii

KAWASHITA, Ikuo

2014

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Introduction of Tools Useful for Studies to Promote the Utilization of AI Technology

Japanese Journal of Radiological Technology, 2020, Vol.76(12), pp.1289-1295

Kawashita, Ikuo

2020

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Utility of under-sampled scans with iterative reconstruction and high-frequency preserving transform for high spatial resolution magnetic resonance cholangiopancreatography

Japanese journal of radiology, 2024-11

2024

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Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra

Journal of digital imaging, 2011-12, Vol.24 (6), p.1126-1132

2011

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Progress of Radiological Technology by AI

Nippon Hōshasen Gijutsu Gakkai zasshi, 2020, Vol.76 (11), p.1105-1106

2020

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AI 技術活用促進のための研究に役立つツールの紹介

日本放射線技術学会雑誌, 2020, Vol.76(12), pp.1289-1295

川下, 郁生

2020

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How AI Will Change Medical Care: The Future of Radiology

Nippon Hōshasen Gijutsu Gakkai zasshi, 2021, Vol.77 (1), p.1-13

2021

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Trends and Future Prospects of AI Technology Utilization Research in JSRT　 —Challenges to Tackle and the Expected Role of Our Academic Society !?

Japanese Journal of Radiological Technology, 2023/08/20, Vol.79(8), pp.838-850

2023

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JSRTにおけるAI 技術活用研究の動向と将来展望―取り組むべき課題と本学会に期待される役割とは!?

日本放射線技術学会雑誌, 2023/08/20, Vol.79(8), pp.838-850

2023

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An introduction to photon-counting detector CT (PCD CT) for radiologists

Global illumination rendering versus volume rendering for the forensic evaluation of stab wounds using computed tomography

Improvement of Spatial Resolution on Coronary CT Angiography by Using Super-Resolution Deep Learning Reconstruction

Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest

Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Iodine maps derived from sparse-view kV-switching dual-energy CT equipped with a deep learning reconstruction for diagnosis of hepatocellular carcinoma

Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study

Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods

Development of computer‐aided medical care support system based on image recognition/processing technique: from diagnostic support to medical support

What has changed / will change in diagnostic imaging with the new CT technologies?

Effect of DCNN Super-Resolution Processing on Dynamic Processing in Digital Radiography (DR)

Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages

Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT

Development of a deep-learning algorithm for age estimation on CT images of the vertebral column

The Utility of e-Learning

The Utility of e-Learning

Development of computer-aided medical care support system based on image recognition/processing technique

Introduction of Tools Useful for Studies to Promote the Utilization of AI Technology

Utility of under-sampled scans with iterative reconstruction and high-frequency preserving transform for high spatial resolution magnetic resonance cholangiopancreatography

Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra

Progress of Radiological Technology by AI

AI 技術活用促進のための研究に役立つツールの紹介

How AI Will Change Medical Care: The Future of Radiology

Trends and Future Prospects of AI Technology Utilization Research in JSRT　 —Challenges to Tackle and the Expected Role of Our Academic Society !?

JSRTにおけるAI 技術活用研究の動向と将来展望―取り組むべき課題と本学会に期待される役割とは!?

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