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Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults

Radiology, 2009-04, Vol.251 (1), p.175-184

2009

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Picture archiving and communication systems: past, present, and future

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6)

Andriole, Katherine P.

2023

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Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves

Radiology, 2021-02, Vol.298 (2), p.319-329

2021

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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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SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Journal of medical imaging (Bellingham, Wash.), 2022-02, Vol.9 (S1), p.S12210-S12210

Andriole, Katherine P.

2022

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Lung Volumes and Emphysema in Smokers with Interstitial Lung Abnormalities

The New England journal of medicine, 2011-03, Vol.364 (10), p.897-906

2011

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Security of Electronic Medical Information and Patient Privacy: What You Need to Know

Journal of the American College of Radiology, 2014-12, Vol.11 (12), p.1212-1216

Andriole, Katherine P., PhD

2014

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Deep learning discrimination of rheumatoid arthritis from osteoarthritis on hand radiography

Skeletal radiology, 2024-02, Vol.53 (2), p.377-383

2024

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Validation pipeline for machine learning algorithm assessment for multiple vendors

PloS one, 2022-04, Vol.17 (4), p.e0267213-e0267213

2022

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Implementing the DICOM Standard for Digital Pathology

Journal of pathology informatics, 2018-01, Vol.9 (1), p.37-37, Article 37

2018

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Four-year impact of an alert notification system on closed-loop communication of critical test results

American journal of roentgenology (1976), 2014-11, Vol.203 (5), p.933-938

2014

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Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events

American journal of roentgenology (1976), 2023-02, Vol.220 (2), p.236-244

2023

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Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT

Radiology, 2023-02, Vol.306 (2), p.e220101

2023

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Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

Simulation and Synthesis in Medical Imaging, 2018, Vol.11037, p.1-11

2018

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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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Head CT deep learning model is highly accurate for early infarct estimation

Scientific reports, 2023-01, Vol.13 (1), p.189-189, Article 189

2023

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Automated critical test result notification system: architecture, design, and assessment of provider satisfaction

American journal of roentgenology (1976), 2014-11, Vol.203 (5), p.W491-W496

2014

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The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications

Journal of digital imaging, 2021-12, Vol.34 (6), p.1424-1429

2021

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What Is a Medical Imaging Informaticist and What Does She Do?

Journal of the American College of Radiology, 2016-10, Vol.13 (10), p.1276-1278

Andriole, Katherine P., PhD

2016

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Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging

Scientific reports, 2022-02, Vol.12 (1), p.2154-2154, Article 2154

2022

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Computer-assisted Reporting and Decision Support Increases Compliance with Follow-up Imaging and Hormonal Screening of Adrenal Incidentalomas

Academic radiology, 2022-02, Vol.29 (2), p.236-244

2022

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Integrating a healthcare innovation bootcamp into an international medical conference to democratize innovation learning

Nature biotechnology, 2023-04, Vol.41 (4), p.579-581

2023

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Using clinically acquired MRI to construct age‐specific ADC atlases: Quantifying spatiotemporal ADC changes from birth to 6‐year old

Human brain mapping, 2017-06, Vol.38 (6), p.3052-3068

2017

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AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening

Clinical imaging, 2024-11, Vol.115, p.110282, Article 110282

2024

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Estimating patient dose from x-ray tube output metrics: automated measurement of patient size from CT images enables large-scale size-specific dose estimates

Radiology, 2014-02, Vol.270 (2), p.472-480

2014

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Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults

Picture archiving and communication systems: past, present, and future

Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves

The RSNA Pediatric Bone Age Machine Learning Challenge

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Lung Volumes and Emphysema in Smokers with Interstitial Lung Abnormalities

Security of Electronic Medical Information and Patient Privacy: What You Need to Know

Deep learning discrimination of rheumatoid arthritis from osteoarthritis on hand radiography

Validation pipeline for machine learning algorithm assessment for multiple vendors

Implementing the DICOM Standard for Digital Pathology

Four-year impact of an alert notification system on closed-loop communication of critical test results

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events

Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT

Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

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

Head CT deep learning model is highly accurate for early infarct estimation

Automated critical test result notification system: architecture, design, and assessment of provider satisfaction

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications

What Is a Medical Imaging Informaticist and What Does She Do?

Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging

Computer-assisted Reporting and Decision Support Increases Compliance with Follow-up Imaging and Hormonal Screening of Adrenal Incidentalomas

Integrating a healthcare innovation bootcamp into an international medical conference to democratize innovation learning

Using clinically acquired MRI to construct age‐specific ADC atlases: Quantifying spatiotemporal ADC changes from birth to 6‐year old

AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening

Estimating patient dose from x-ray tube output metrics: automated measurement of patient size from CT images enables large-scale size-specific dose estimates

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