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Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics

Academic radiology, 2020-01, Vol.27 (1), p.82-87

2020

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Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

European radiology, 2021-07, Vol.31 (7), p.4700-4709

2021

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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

European radiology, 2019-11, Vol.29 (11), p.6163-6171

2019

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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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Deep learning–based image restoration algorithm for coronary CT angiography

European radiology, 2019-10, Vol.29 (10), p.5322-5329

2019

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Dual-energy CT: minimal essentials for radiologists

Japanese journal of radiology, 2022-06, Vol.40 (6), p.547-559

2022

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Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality

Journal of computer assisted tomography, 2020-03, Vol.44 (2), p.161-167

2020

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Improvement of image quality at CT and MRI using deep learning

Japanese journal of radiology, 2019-01, Vol.37 (1), p.73-80

2019

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Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography

Abdominal radiology (New York), 2020-09, Vol.45 (9), p.2698-2704

2020

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Deep learning reconstruction of equilibrium phase CT images in obese patients

European journal of radiology, 2020-12, Vol.133, p.109349-109349, Article 109349

2020

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Advanced CT techniques for assessing hepatocellular carcinoma

Radiologia medica, 2021, Vol.126 (7), p.925-935

2021

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Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography

Heart and vessels, 2022-08, Vol.37 (8), p.1446-1452

2022

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Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists

Radiographics, 2018-07, Vol.38 (4), p.1131-1144

2018

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Reversible Brain Atrophy in Cryptogenic New-onset Refractory Status Epilepticus

Internal Medicine, 2023/06/15, Vol.62(12), pp.1835-1842

2023

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Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment

Scientific reports, 2021-07, Vol.11 (1), p.14251-14251, Article 14251

2021

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Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study

Neuroradiology, 2021-12, Vol.63 (12), p.2013-2021

2021

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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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Clinical application of radiation dose reduction at abdominal CT

European journal of radiology, 2019-02, Vol.111, p.68-75

2019

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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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Incidence and factor analysis of laryngohyoid fractures in hanging individuals—computed tomography study

European radiology, 2021-10, Vol.31 (10), p.7827-7833

2021

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Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to “Virtual” High-Dose CT Images

Machine Learning in Medical Imaging, 2017, p.334-343

2017

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Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases

Radiology. Artificial intelligence, 2019-11, Vol.1 (6), p.e180011-e180011

2019

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Prospective Memory Deficits in Multiple Sclerosis: Voxel-based Morphometry and Double Inversion Recovery Analysis

Internal Medicine, 2021/01/01, Vol.60(1), pp.39-46

2021

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Nature of the Intracellular-contrast-enhancing Fat-saturated T1-weighted Gradient-echo (ICE-TIGRE) Sequence: A Fat-suppressed T1-weighted Technique with Motion-sensitised Driven-equilibrium for Improved Contrast Enhancement in Liver Imaging

Magnetic Resonance in Medical Sciences, 2024, pp.tn.2023-0104

2024

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Minimizing individual variations in arterial enhancement on coronary CT angiographs using “contrast enhancement optimizer”: a prospective randomized single-center study

European radiology, 2019-06, Vol.29 (6), p.2998-3005

2019

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Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

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

Deep learning–based image restoration algorithm for coronary CT angiography

Dual-energy CT: minimal essentials for radiologists

Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality

Improvement of image quality at CT and MRI using deep learning

Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography

Deep learning reconstruction of equilibrium phase CT images in obese patients

Advanced CT techniques for assessing hepatocellular carcinoma

Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography

Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists

Reversible Brain Atrophy in Cryptogenic New-onset Refractory Status Epilepticus

Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment

Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study

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

Clinical application of radiation dose reduction at abdominal CT

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

Incidence and factor analysis of laryngohyoid fractures in hanging individuals—computed tomography study

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to “Virtual” High-Dose CT Images

Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases

Prospective Memory Deficits in Multiple Sclerosis: Voxel-based Morphometry and Double Inversion Recovery Analysis

Nature of the Intracellular-contrast-enhancing Fat-saturated T1-weighted Gradient-echo (ICE-TIGRE) Sequence: A Fat-suppressed T1-weighted Technique with Motion-sensitised Driven-equilibrium for Improved Contrast Enhancement in Liver Imaging

Minimizing individual variations in arterial enhancement on coronary CT angiographs using “contrast enhancement optimizer”: a prospective randomized single-center study

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