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Pulmonary Tuberculosis: Role of Radiology in Diagnosis and Management

Radiographics, 2017-01, Vol.37 (1), p.52-72

2017

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Incidental findings in thoracic CTs performed in trauma patients: an underestimated problem

European radiology, 2019-12, Vol.29 (12), p.6772-6779

2019

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Racial/Ethnic Disparities in Follow-Up Adherence for Incidental Pulmonary Nodules: An Application of a Cascade-of-Care Framework

Journal of the American College of Radiology, 2020-11, Vol.17 (11), p.1410-1419

2020

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Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

European radiology, 2021-11, Vol.31 (11), p.8775-8785

2021

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Statistical modeling can determine what factors are predictive of appropriate follow-up in patients presenting with incidental pulmonary nodules on CT

European journal of radiology, 2020-07, Vol.128, p.109062-109062, Article 109062

2020

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Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models

Journal of the American College of Radiology, 2024-10, Vol.21 (10), p.1620-1631

2024

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Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth

Investigative radiology, 2021-08, Vol.56 (8), p.471-479

2021

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Methods for the Watch the Spot Trial. A Pragmatic Trial of More- versus Less-Intensive Strategies for Active Surveillance of Small Pulmonary Nodules

Annals of the American Thoracic Society, 2019-12, Vol.16 (12), p.1567-1576

2019

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Prediction of Complication Risk in Computed Tomography-guided Thoracic Biopsy: A Prescription for Improving Procedure Safety

Journal of thoracic imaging, 2023-03, Vol.38 (2), p.88-96

2023

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Transparent Machine Learning Models to Diagnose Suspicious Thoracic Lesions Leveraging CT Guided Biopsy Data

Academic radiology, 2022-02, Vol.29, p.S156-S164

2022

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Demographics and socioeconomic determinants of health predict continued participation in a CT lung cancer screening program

Current problems in diagnostic radiology, 2024-09, Vol.53 (5), p.552-559

2024

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Predictive factors for malignancy in incidental pulmonary nodules detected in breast cancer patients at baseline CT

European radiology, 2017-07, Vol.27 (7), p.2802-2809

2017

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Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation

Academic radiology, 2018-09, Vol.25 (9), p.1201-1212

2018

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Translation of Quantitative Imaging Biomarkers into Clinical Chest CT

Radiographics, 2019-07, Vol.39 (4), p.957-976

2019

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Lung cancer screening overdiagnosis: reports of overdiagnosis in screening for lung cancer are grossly exaggerated

Academic radiology, 2015-08, Vol.22 (8), p.976-982

Mortani Barbosa, Jr, Eduardo J

2015

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Real-World Lung Cancer CT Screening Performance, Smoking Behavior, and Adherence to Recommendations: Lung-RADS Category and Smoking Status Predict Adherence

American journal of roentgenology (1976), 2021-04, Vol.216 (4), p.919-926

2021

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The Value of Real-Time Thoracic Radiology Consulting in an Integrated Lung Center Clinic: Bringing the Radiologist to the Center of Multidisciplinary Health Care

Journal of thoracic imaging, 2018-07, Vol.33 (4), p.260-265

2018

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Imaging Evaluation of Lung Transplantation Patients: A Time and Etiology-based Approach to High-resolution Computed Tomography Interpretation

Journal of thoracic imaging, 2019-09, Vol.34 (5), p.299-312

2019

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CT Fluoroscopy Guided Thoracic Biopsies (CTTB) Are Highly Accurate and Safe: Outcomes and Predictive Modeling of Complications Utilizing Machine Learning

Academic radiology, 2021-05, Vol.28 (5), p.608-618

2021

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Quantitative Computed Tomography Metrics From the Transplanted Lung can Predict Forced Expiratory Volume in the First Second After Lung Transplantation

Journal of thoracic imaging, 2018-03, Vol.33 (2), p.112-123

2018

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Overdiagnosis in Lung Cancer Screening can be Reduced to a Low, Manageable Level via a Multilayered Strategy Involving Perfecting Reporting Systems, Restricting Screening to High-Risk Groups, Developing Better Risk Stratification Models, and Improving Management Algorithms

Academic radiology, 2016, Vol.23 (1), p.113-115

Mortani Barbosa, Eduardo J., MD

2016

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Optimization of Radiology Reports for Intensive Care Unit Portable Chest Radiographs: Perceptions and Preferences of Radiologists and ICU Practitioners

Journal of thoracic imaging, 2016-01, Vol.31 (1), p.43-48

2016

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Understanding the Added Value of High-Resolution CT Beyond Chest X-Ray in Determining Extent of Physiologic Impairment

Chest, 2024-11, Vol.166 (5), p.1093-1107

2024

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Vascular Ehlers–Danlos syndrome presenting as rapidly progressive multiple arterial aneurysms and dissections

American journal of medical genetics. Part A, 2011-12, Vol.155 (12), p.3090-3094

2011

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Quantitative imaging of chronic obstructive pulmonary disease-moving towards clinical application

Journal of thoracic disease, 2016-01, Vol.8 (1), p.1-5

Mortani Barbosa, Jr, Eduardo J

2016

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Pulmonary Tuberculosis: Role of Radiology in Diagnosis and Management

Incidental findings in thoracic CTs performed in trauma patients: an underestimated problem

Racial/Ethnic Disparities in Follow-Up Adherence for Incidental Pulmonary Nodules: An Application of a Cascade-of-Care Framework

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

Statistical modeling can determine what factors are predictive of appropriate follow-up in patients presenting with incidental pulmonary nodules on CT

Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth

Methods for the Watch the Spot Trial. A Pragmatic Trial of More- versus Less-Intensive Strategies for Active Surveillance of Small Pulmonary Nodules

Prediction of Complication Risk in Computed Tomography-guided Thoracic Biopsy: A Prescription for Improving Procedure Safety

Transparent Machine Learning Models to Diagnose Suspicious Thoracic Lesions Leveraging CT Guided Biopsy Data

Demographics and socioeconomic determinants of health predict continued participation in a CT lung cancer screening program

Predictive factors for malignancy in incidental pulmonary nodules detected in breast cancer patients at baseline CT

Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation

Translation of Quantitative Imaging Biomarkers into Clinical Chest CT

Lung cancer screening overdiagnosis: reports of overdiagnosis in screening for lung cancer are grossly exaggerated

Real-World Lung Cancer CT Screening Performance, Smoking Behavior, and Adherence to Recommendations: Lung-RADS Category and Smoking Status Predict Adherence

The Value of Real-Time Thoracic Radiology Consulting in an Integrated Lung Center Clinic: Bringing the Radiologist to the Center of Multidisciplinary Health Care

Imaging Evaluation of Lung Transplantation Patients: A Time and Etiology-based Approach to High-resolution Computed Tomography Interpretation

CT Fluoroscopy Guided Thoracic Biopsies (CTTB) Are Highly Accurate and Safe: Outcomes and Predictive Modeling of Complications Utilizing Machine Learning

Quantitative Computed Tomography Metrics From the Transplanted Lung can Predict Forced Expiratory Volume in the First Second After Lung Transplantation

Overdiagnosis in Lung Cancer Screening can be Reduced to a Low, Manageable Level via a Multilayered Strategy Involving Perfecting Reporting Systems, Restricting Screening to High-Risk Groups, Developing Better Risk Stratification Models, and Improving Management Algorithms

Optimization of Radiology Reports for Intensive Care Unit Portable Chest Radiographs: Perceptions and Preferences of Radiologists and ICU Practitioners

Understanding the Added Value of High-Resolution CT Beyond Chest X-Ray in Determining Extent of Physiologic Impairment

Vascular Ehlers–Danlos syndrome presenting as rapidly progressive multiple arterial aneurysms and dissections

Quantitative imaging of chronic obstructive pulmonary disease-moving towards clinical application

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