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Beyond the AJR : Don't Believe Everything You Read—Nearly One-Fifth of Cleared Artificial Intelligence Devices May Have Discordant Documentation

American journal of roentgenology (1976), 2024-05, p.1-1

2024

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T2-FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project

Clinical cancer research, 2017-10, Vol.23 (20), p.6078-6085

2017

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Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography

Brain structure & function, 2014-01, Vol.219 (1), p.269-281

2014

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Counterpoint: Why Some Imposed Structure is a Necessity in Radiology Reporting

Academic radiology, 2019-07, Vol.26 (7), p.983-985

Flanders, Adam E.

2019

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Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers

Spinal cord, 2019-09, Vol.57 (9), p.717-728

2019

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Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography

Brain Structure and Function, 2014-01, Vol.219 (1), p.269-281

2014

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Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians

Critical reviews in oncology/hematology, 2020-10, Vol.154, p.103068-103068, Article 103068

2020

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Variability in diagnostic error rates of 10 MRI centers performing lumbar spine MRI examinations on the same patient within a 3-week period

The spine journal, 2017-04, Vol.17 (4), p.554-561

2017

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Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage (Orlando, Fla.), 2020-10, Vol.220, p.117081-117081, Article 117081

2020

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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Radiology. Artificial intelligence, 2020-05, Vol.2 (3), p.e190211-e190211

2020

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Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat

Scientific reports, 2023-11, Vol.13 (1), p.19809-19809, Article 19809

2023

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Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas

Neurosurgery, 2021-11, Vol.89 (5), p.928-936

2021

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Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions

Radiology. Artificial intelligence, 2019-01, Vol.1 (1), p.e180031-e180031

2019

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Perfusion-CT assessment of infarct core and penumbra : Receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke

Stroke (1970), 2006-04, Vol.37 (4), p.979-985

2006

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AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium

Neuro-oncology (Charlottesville, Va.), 2020-06, Vol.22 (6), p.886-888

2020

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Whole brain radiation therapy with or without stereotactic radiosurgery boost for patients with one to three brain metastases: phase III results of the RTOG 9508 randomised trial

The Lancet (British edition), 2004-05, Vol.363 (9422), p.1665-1672

2004

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Medical image and data sharing: are we there yet?

Radiographics, 2009-09, Vol.29 (5), p.1247-1251

Flanders, Adam E

2009

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Application of Diffusion Tensor Imaging in Forecasting Neurological Injury and Recovery after Human Cervical Spinal Cord Injury

Journal of neurotrauma, 2019-11, Vol.36 (21), p.3051-3061

2019

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Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition

American journal of neuroradiology : AJNR, 2024-09, Vol.45 (9), p.1276-1283

2024

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Truth and Transformation: RSNA's Journey Toward Equity

Radiographics, 2023-04, Vol.43 (4), p.e239005-e239005

2023

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Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI

Journal of the American College of Radiology, 2024-07, Vol.21 (7), p.1119-1129

2024

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Utility of sagittal MR imaging of the whole spine in cases of known or suspected single-level spinal infection: Overkill or good clinical practice?

Clinical imaging, 2018-09, Vol.51, p.98-103

2018

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Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA

Journal of the American College of Radiology, 2019-10, Vol.16 (10), p.1464-1470

2019

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A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma

Journal of neurosurgery, 2016-04, Vol.124 (4), p.1008-1017

2016

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Beyond the AJR : Don't Believe Everything You Read—Nearly One-Fifth of Cleared Artificial Intelligence Devices May Have Discordant Documentation

T2-FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project

Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography

Counterpoint: Why Some Imposed Structure is a Necessity in Radiology Reporting

Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers

Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians

Variability in diagnostic error rates of 10 MRI centers performing lumbar spine MRI examinations on the same patient within a 3-week period

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat

Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas

Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions

Perfusion-CT assessment of infarct core and penumbra : Receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke

AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium

Whole brain radiation therapy with or without stereotactic radiosurgery boost for patients with one to three brain metastases: phase III results of the RTOG 9508 randomised trial

Medical image and data sharing: are we there yet?

Application of Diffusion Tensor Imaging in Forecasting Neurological Injury and Recovery after Human Cervical Spinal Cord Injury

Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition

Truth and Transformation: RSNA's Journey Toward Equity

Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI

Utility of sagittal MR imaging of the whole spine in cases of known or suspected single-level spinal infection: Overkill or good clinical practice?

Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA

A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma

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