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FAIR: a recipe for ensuring fairness in healthcare artificial intelligence

Japanese journal of radiology, 2024-01, Vol.42 (1), p.1-2

2024

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Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach

Scientific reports, 2021-02, Vol.11 (1), p.2780-2780, Article 2780

2021

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Correlation between amide proton transfer-related signal intensity and diffusion and perfusion magnetic resonance imaging parameters in high-grade glioma

Scientific reports, 2021-05, Vol.11 (1), p.11223-11223, Article 11223

2021

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Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients

Abdominal radiology (New York), 2022-02, Vol.47 (2), p.838-847

2022

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Pancreatic neuroendocrine tumors: Correlation between the contrast-enhanced computed tomography features and the pathological tumor grade

European journal of radiology, 2015-08, Vol.84 (8), p.1436-1443

2015

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Four-Dimensional Flow Magnetic Resonance Imaging in the Evaluation of Intracardiac Oxygenation in an Infant With a Single Ventricle

Circulation Journal, 2021/12/24, Vol.86(1), pp.166

2021

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The Usefulness of Machine Learning–Based Evaluation of Clinical and Pretreatment [18F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer

Molecular imaging and biology, 2023-04, Vol.25 (2), p.303-313

2023

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Assessment of microvessel perfusion of pituitary adenomas: a feasibility study using turbo spin-echo-based intravoxel incoherent motion imaging

European radiology, 2020-04, Vol.30 (4), p.1908-1917

2020

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Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer

Molecular imaging and biology, 2021-10, Vol.23 (5), p.756-765

2021

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Usefulness of dual-layer spectral CT in follow-up examinations: diagnosing recurrent squamous cell carcinomas in the head and neck

Japanese journal of radiology, 2021-04, Vol.39 (4), p.324-332

2021

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The clinical value of texture analysis of dual-time-point 18F-FDG-PET/CT imaging to differentiate between 18F-FDG-avid benign and malignant pulmonary lesions

European radiology, 2020-03, Vol.30 (3), p.1759-1769

2020

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Combined signal averaging and compressed sensing: impact on quality of contrast-enhanced fat-suppressed 3D turbo field-echo imaging for pharyngolaryngeal squamous cell carcinoma

Neuroradiology, 2020-10, Vol.62 (10), p.1293-1299

2020

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Histogram analysis of amide proton transfer–weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions

European radiology, 2019-08, Vol.29 (8), p.4133-4140

2019

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Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions

Japanese journal of radiology, 2019-02, Vol.37 (2), p.109-116

2019

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Volumetric study reveals the relationship between outcome and early radiographic response during bevacizumab-containing chemoradiotherapy for unresectable glioblastoma

Journal of neuro-oncology, 2021-09, Vol.154 (2), p.187-196

2021

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Extracellular volume fraction determined by equilibrium contrast-enhanced dual-energy CT as a prognostic factor in patients with stage IV pancreatic ductal adenocarcinoma

European radiology, 2020-03, Vol.30 (3), p.1679-1689

2020

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Value of Patlak Ki images from 18F-FDG-PET/CT for evaluation of the relationships between disease activity and clinical events in cardiac sarcoidosis

Scientific reports, 2021-02, Vol.11 (1), p.2729-2729, Article 2729

2021

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ADC histogram analysis for adrenal tumor histogram analysis of apparent diffusion coefficient in differentiating adrenal adenoma from pheochromocytoma

Journal of magnetic resonance imaging, 2017-04, Vol.45 (4), p.1195-1203

2017

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Value of diffusion tensor imaging in differentiating malignant from benign parotid gland tumors

European journal of radiology, 2017-10, Vol.95, p.249-256

2017

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The efficacy of 18F-FDG-PET-based radiomic and deep-learning features using a machine-learning approach to predict the pathological risk subtypes of thymic epithelial tumors

British journal of radiology, 2022-06, Vol.95 (1134), p.20211050-20211050

2022

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Left atrial CT volume and CHA2DS2-VASc score predict early pulmonary vein stump thrombus after left upper lobectomy

Scientific reports, 2023-03, Vol.13 (1), p.4965-4965, Article 4965

2023

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Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters

Academic radiology, 2020-03, Vol.27 (3), p.342-353

2020

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Quantitative pharmacokinetic analysis of high-temporal-resolution dynamic contrast-enhanced MRI to differentiate the normal-appearing pituitary gland from pituitary macroadenoma

Japanese journal of radiology, 2020-07, Vol.38 (7), p.649-657

2020

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Feasibility of iodine concentration and extracellular volume fraction measurement derived from the equilibrium phase dual-energy CT for differentiating thymic epithelial tumors

Japanese journal of radiology, 2023-01, Vol.41 (1), p.45-53

2023

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Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer

Molecular imaging and biology, 2023-10, Vol.25 (5), p.923-934

2023

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FAIR: a recipe for ensuring fairness in healthcare artificial intelligence

Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach

Correlation between amide proton transfer-related signal intensity and diffusion and perfusion magnetic resonance imaging parameters in high-grade glioma

Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients

Pancreatic neuroendocrine tumors: Correlation between the contrast-enhanced computed tomography features and the pathological tumor grade

Four-Dimensional Flow Magnetic Resonance Imaging in the Evaluation of Intracardiac Oxygenation in an Infant With a Single Ventricle

The Usefulness of Machine Learning–Based Evaluation of Clinical and Pretreatment [18F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer

Assessment of microvessel perfusion of pituitary adenomas: a feasibility study using turbo spin-echo-based intravoxel incoherent motion imaging

Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer

Usefulness of dual-layer spectral CT in follow-up examinations: diagnosing recurrent squamous cell carcinomas in the head and neck

The clinical value of texture analysis of dual-time-point 18F-FDG-PET/CT imaging to differentiate between 18F-FDG-avid benign and malignant pulmonary lesions

Combined signal averaging and compressed sensing: impact on quality of contrast-enhanced fat-suppressed 3D turbo field-echo imaging for pharyngolaryngeal squamous cell carcinoma

Histogram analysis of amide proton transfer–weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions

Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions

Volumetric study reveals the relationship between outcome and early radiographic response during bevacizumab-containing chemoradiotherapy for unresectable glioblastoma

Extracellular volume fraction determined by equilibrium contrast-enhanced dual-energy CT as a prognostic factor in patients with stage IV pancreatic ductal adenocarcinoma

Value of Patlak Ki images from 18F-FDG-PET/CT for evaluation of the relationships between disease activity and clinical events in cardiac sarcoidosis

ADC histogram analysis for adrenal tumor histogram analysis of apparent diffusion coefficient in differentiating adrenal adenoma from pheochromocytoma

Value of diffusion tensor imaging in differentiating malignant from benign parotid gland tumors

The efficacy of 18F-FDG-PET-based radiomic and deep-learning features using a machine-learning approach to predict the pathological risk subtypes of thymic epithelial tumors

Left atrial CT volume and CHA2DS2-VASc score predict early pulmonary vein stump thrombus after left upper lobectomy

Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters

Quantitative pharmacokinetic analysis of high-temporal-resolution dynamic contrast-enhanced MRI to differentiate the normal-appearing pituitary gland from pituitary macroadenoma

Feasibility of iodine concentration and extracellular volume fraction measurement derived from the equilibrium phase dual-energy CT for differentiating thymic epithelial tumors

Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer

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