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Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

European radiology, 2022-11, Vol.32 (11), p.7998-8007

2022

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‘Popcorn’ in the Brain: A Cause for Confusion

The American journal of medicine, 2021-02, Vol.134 (2), p.216-217

2021

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Cybersecurity considerations for radiology departments involved with artificial intelligence

European radiology, 2023-12, Vol.33 (12), p.8833-8841

2023

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Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data

European radiology, 2023-11, Vol.33 (11), p.8376-8386

2023

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How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method

British journal of radiology, 2023-10, Vol.96 (1150), p.20220215-20220215

2023

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PET/CT Variants and Pitfalls in Head and Neck Cancers Including Thyroid Cancer

Seminars in nuclear medicine, 2021-09, Vol.51 (5), p.419-440

2021

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Machine learning and deep learning for classifying the justification of brain CT referrals

European radiology, 2024-06

2024

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A Radiomic "Warning Sign" of Progression on Brain MRI in Individuals with MS

American journal of neuroradiology : AJNR, 2024-02, Vol.45 (2), p.236

2024

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DNMT1-associated sensory neuropathy and cerebellar ataxia: A novel variant and review of genotype-phenotype correlation

Journal of the peripheral nervous system, 2023-09, Vol.28 (3), p.508-512

2023

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Molecular and Anatomical Imaging of Dementia With Lewy Bodies and Frontotemporal Lobar Degeneration

Seminars in nuclear medicine, 2021-05, Vol.51 (3), p.264-274

2021

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Cardiac tumors: optimal cardiac MR sequences and spectrum of imaging appearances

American journal of roentgenology (1976), 2009-08, Vol.193 (2), p.377-387

2009

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Calcified cerebral embolism: what the clinician needs to know

QJM : An International Journal of Medicine, 2017-09, Vol.110 (9), p.597-598

2017

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Adherence with reporting of ethical standards in COVID-19 human studies: a rapid review

BMC medical ethics, 2021-06, Vol.22 (1), p.1-80, Article 80

2021

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Impact of point-of-care clinical decision support on referrer behavior, imaging volume, patient radiation dose exposure, and sustainability

Insights into imaging, 2024-01, Vol.15 (1), p.4-4, Article 4

2024

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Neurogenic muscle hypertrophy following L5 motor radiculopathy

Practical neurology, 2022-10, Vol.22 (5), p.422-424

2022

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iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning

European journal of radiology, 2024-04, Vol.173, p.111357-111357, Article 111357

2024

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Altered Biodistribution of Radiopharmaceuticals: Role of Radiochemical/Pharmaceutical Purity, Physiological, and Pharmacologic Factors

Seminars in nuclear medicine, 2010-07, Vol.40 (4), p.220-241

2010

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Correction to: Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

European radiology, 2022-11, Vol.32 (11), p.8054-8054

2022

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Image-guided navigation in posterior orbital tumour surgery: a comparative cohort study

Orbit (Amsterdam), 2024-09, Vol.43 (5), p.1-575

2024

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Vascular findings on FDG PET/CT

British journal of radiology, 2020-09, Vol.93 (1113), p.20200103-20200103

2020

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Diagnostic Utility of Computed Tomographic Angiography in Giant-Cell Arteritis

Stroke (1970), 2018-09, Vol.49 (9), p.2233-2236

2018

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Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches

Insights into imaging, 2022-08, Vol.13 (1), p.127-127, Article 127

2022

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Cardiac MR imaging of nonischemic cardiomyopathies: imaging protocols and spectra of appearances

Radiology, 2012-02, Vol.262 (2), p.403-422

2012

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Editorial: F-18 FDG PET/CT Imaging: Normal Variants, Pitfalls and Artifacts

Frontiers in nuclear medicine, 2022, Vol.2, p.965615

2022

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Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

Insights into imaging, 2020-12, Vol.11 (1), p.133-133, Article 133

2020

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Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

‘Popcorn’ in the Brain: A Cause for Confusion

Cybersecurity considerations for radiology departments involved with artificial intelligence

Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data

How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method

PET/CT Variants and Pitfalls in Head and Neck Cancers Including Thyroid Cancer

Machine learning and deep learning for classifying the justification of brain CT referrals

A Radiomic "Warning Sign" of Progression on Brain MRI in Individuals with MS

DNMT1-associated sensory neuropathy and cerebellar ataxia: A novel variant and review of genotype-phenotype correlation

Molecular and Anatomical Imaging of Dementia With Lewy Bodies and Frontotemporal Lobar Degeneration

Cardiac tumors: optimal cardiac MR sequences and spectrum of imaging appearances

Calcified cerebral embolism: what the clinician needs to know

Adherence with reporting of ethical standards in COVID-19 human studies: a rapid review

Impact of point-of-care clinical decision support on referrer behavior, imaging volume, patient radiation dose exposure, and sustainability

Neurogenic muscle hypertrophy following L5 motor radiculopathy

iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning

Altered Biodistribution of Radiopharmaceuticals: Role of Radiochemical/Pharmaceutical Purity, Physiological, and Pharmacologic Factors

Correction to: Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

Image-guided navigation in posterior orbital tumour surgery: a comparative cohort study

Vascular findings on FDG PET/CT

Diagnostic Utility of Computed Tomographic Angiography in Giant-Cell Arteritis

Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches

Cardiac MR imaging of nonischemic cardiomyopathies: imaging protocols and spectra of appearances

Editorial: F-18 FDG PET/CT Imaging: Normal Variants, Pitfalls and Artifacts

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

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