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1.
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort.
Eur Radiol
; 31(11): 8775-8785, 2021 Nov.
Article
in English
| MEDLINE | ID: mdl-33934177
2.
Incidental findings in thoracic CTs performed in trauma patients: an underestimated problem.
Eur Radiol
; 29(12): 6772-6779, 2019 Dec.
Article
in English
| MEDLINE | ID: mdl-31264016
3.
Translation of Quantitative Imaging Biomarkers into Clinical Chest CT.
Radiographics
; 39(4): 957-976, 2019.
Article
in English
| MEDLINE | ID: mdl-31199712
4.
Predictive factors for malignancy in incidental pulmonary nodules detected in breast cancer patients at baseline CT.
Eur Radiol
; 27(7): 2802-2809, 2017 Jul.
Article
in English
| MEDLINE | ID: mdl-27798753
5.
Pulmonary Tuberculosis: Role of Radiology in Diagnosis and Management.
Radiographics
; 37(1): 52-72, 2017.
Article
in English
| MEDLINE | ID: mdl-28076011
6.
Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models.
J Am Coll Radiol
; 2024 Mar 08.
Article
in English
| MEDLINE | ID: mdl-38461910
7.
Demographics and socioeconomic determinants of health predict continued participation in a CT lung cancer screening program.
Curr Probl Diagn Radiol
; 2024 Apr 21.
Article
in English
| MEDLINE | ID: mdl-38658287
8.
Prediction of Complication Risk in Computed Tomography-guided Thoracic Biopsy: A Prescription for Improving Procedure Safety.
J Thorac Imaging
; 38(2): 88-96, 2023 Mar 01.
Article
in English
| MEDLINE | ID: mdl-36729873
9.
Transparent Machine Learning Models to Diagnose Suspicious Thoracic Lesions Leveraging CT Guided Biopsy Data.
Acad Radiol
; 29 Suppl 2: S156-S164, 2022 02.
Article
in English
| MEDLINE | ID: mdl-34373194
10.
Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19.
J Med Imaging (Bellingham)
; 9(3): 034003, 2022 May.
Article
in English
| MEDLINE | ID: mdl-35721308
11.
Vascular Ehlers-Danlos syndrome presenting as rapidly progressive multiple arterial aneurysms and dissections.
Am J Med Genet A
; 155A(12): 3090-4, 2011 Dec.
Article
in English
| MEDLINE | ID: mdl-22065459
12.
CT Fluoroscopy Guided Thoracic Biopsies (CTTB) Are Highly Accurate and Safe: Outcomes and Predictive Modeling of Complications Utilizing Machine Learning.
Acad Radiol
; 28(5): 608-618, 2021 05.
Article
in English
| MEDLINE | ID: mdl-32473783
13.
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.
Invest Radiol
; 56(8): 471-479, 2021 08 01.
Article
in English
| MEDLINE | ID: mdl-33481459
14.
Racial/Ethnic Disparities in Follow-Up Adherence for Incidental Pulmonary Nodules: An Application of a Cascade-of-Care Framework.
J Am Coll Radiol
; 17(11): 1410-1419, 2020 Nov.
Article
in English
| MEDLINE | ID: mdl-32771492
15.
Statistical modeling can determine what factors are predictive of appropriate follow-up in patients presenting with incidental pulmonary nodules on CT.
Eur J Radiol
; 128: 109062, 2020 Jul.
Article
in English
| MEDLINE | ID: mdl-32422551
16.
Imaging Evaluation of Lung Transplantation Patients: A Time and Etiology-based Approach to High-resolution Computed Tomography Interpretation.
J Thorac Imaging
; 34(5): 299-312, 2019 Sep.
Article
in English
| MEDLINE | ID: mdl-31094899
17.
Methods for the Watch the Spot Trial. A Pragmatic Trial of More- versus Less-Intensive Strategies for Active Surveillance of Small Pulmonary Nodules.
Ann Am Thorac Soc
; 16(12): 1567-1576, 2019 12.
Article
in English
| MEDLINE | ID: mdl-31314549
18.
The Value of Real-Time Thoracic Radiology Consulting in an Integrated Lung Center Clinic: Bringing the Radiologist to the Center of Multidisciplinary Health Care.
J Thorac Imaging
; 33(4): 260-265, 2018 Jul.
Article
in English
| MEDLINE | ID: mdl-29927870
19.
Quantitative Computed Tomography Metrics From the Transplanted Lung can Predict Forced Expiratory Volume in the First Second After Lung Transplantation.
J Thorac Imaging
; 33(2): 112-123, 2018 Mar.
Article
in English
| MEDLINE | ID: mdl-29135627
20.
Optimization of Radiology Reports for Intensive Care Unit Portable Chest Radiographs: Perceptions and Preferences of Radiologists and ICU Practitioners.
J Thorac Imaging
; 31(1): 43-8, 2016 Jan.
Article
in English
| MEDLINE | ID: mdl-26258599