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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Radiology, 2019-06, Vol.291 (3), p.781-791

2019

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The RSNA Pediatric Bone Age Machine Learning Challenge

Radiology, 2019-02, Vol.290 (2), p.498-503

2019

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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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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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Imaging in Spine Degenerative Joint Disease: Counterpoint—More Isn't Always Better

American journal of roentgenology (1976), 2024-09

Flanders, Adam E.

2024

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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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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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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, Vol.222 (5), p.e2330331-1

2024

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Effect of spinal segment variants on numbering vertebral levels at lumbar MR imaging

Radiology, 2011-04, Vol.259 (1), p.196-202

2011

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Machine Learning Detection of Intracranial Aneurysms—Will It Play in Peoria?

Radiology, 2019-01, Vol.290 (1), p.195-197

Flanders, Adam E.

2019

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Update on New Imaging Techniques for Trauma

Neurosurgery clinics of North America, 2017-01, Vol.28 (1), p.1-21

2017

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NextGen Neuroradiology AI

Radiology, 2023-11, Vol.309 (2)

2023

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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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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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Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis

American journal of roentgenology (1976), 2013-03, Vol.200 (3), p.493-502

2013

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Age related diffusion and tractography changes in typically developing pediatric cervical and thoracic spinal cord

NeuroImage clinical, 2018-01, Vol.18, p.784-792

2018

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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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Results of a Pilot Study Involving the Use of an Antisense Oligodeoxynucleotide Directed Against the Insulin-Like Growth Factor Type I Receptor in Malignant Astrocytomas

Journal of clinical oncology, 2001-04, Vol.19 (8), p.2189-2200

2001

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Arachnoiditis ossificans: Clinical series and review of the literature

Clinical neurology and neurosurgery, 2014-09, Vol.124, p.16-20

2014

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Marketing a Radiology Practice

Journal of the American College of Radiology, 2016-10, Vol.13 (10), p.1260-1266

2016

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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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Black as night

Survey of ophthalmology, 2015-05, Vol.60 (3), p.269-273

2015

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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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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

The RSNA Pediatric Bone Age Machine Learning Challenge

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

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

Imaging in Spine Degenerative Joint Disease: Counterpoint—More Isn't Always Better

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

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

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

Effect of spinal segment variants on numbering vertebral levels at lumbar MR imaging

Machine Learning Detection of Intracranial Aneurysms—Will It Play in Peoria?

Update on New Imaging Techniques for Trauma

NextGen Neuroradiology AI

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

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

Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis

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

Age related diffusion and tractography changes in typically developing pediatric cervical and thoracic spinal cord

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

Results of a Pilot Study Involving the Use of an Antisense Oligodeoxynucleotide Directed Against the Insulin-Like Growth Factor Type I Receptor in Malignant Astrocytomas

Arachnoiditis ossificans: Clinical series and review of the literature

Marketing a Radiology Practice

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

Black as night

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

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