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Academic Radiology
|
March 14, 2021
Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT
Basel Yacoub, Ismail M Kabakus, U Joseph Schoepf, et al.
Academic Radiology
|
May 24, 2022
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality
Jordan H Chamberlin, Gilberto Aquino, Uwe Joseph Schoepf, et al.
Journal of the American College of Cardiology
|
July 2, 2013
Incremental value of cardiac magnetic resonance imaging in arrhythmic risk stratification of arrhythmogenic right ventricular dysplasia/cardiomyopathy-associated desmosomal mutation carriers
Anneline S J M te Riele, Aditya Bhonsale, Cynthia A James, et al.
BMC Medicine
|
March 4, 2021
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value
Jordan Chamberlin, Madison R Kocher, Jeffrey Waltz, et al.
The International Journal of Cardiovascular Imaging
|
May 6, 2023
Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosis
Jordan H Chamberlin, Madison R Kocher, Gilberto Aquino, et al.
Radiology
|
October 5, 2021
Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes
Gilberto J Aquino, Andres F Abadia, U Joseph Schoepf, et al.
Radiology
|
May 31, 2022
CT in Transcatheter-delivered Treatment of Valvular Heart Disease
Piotr Nikodem Rudzinski, Jonathon A Leipsic, U Joseph Schoepf, et al.
European Radiology
|
March 11, 2022
Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
Gilberto J Aquino, Jordan Chamberlin, Basel Yacoub, et al.
BMC Infectious Diseases
|
July 21, 2022
Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning
Jordan H Chamberlin, Gilberto Aquino, Sophia Nance, et al.
Journal of Cardiovascular Computed Tomography
|
December 31, 2021
Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes
Gilberto J Aquino, Jordan Chamberlin, Megan Mercer, et al.
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Showing results (51-60 of 60) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 60 results.
Academic Radiology
|
March 14, 2021
Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT
Basel Yacoub, Ismail M Kabakus, U Joseph Schoepf, et al.
Academic Radiology
|
May 24, 2022
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality
Jordan H Chamberlin, Gilberto Aquino, Uwe Joseph Schoepf, et al.
Journal of the American College of Cardiology
|
July 2, 2013
Incremental value of cardiac magnetic resonance imaging in arrhythmic risk stratification of arrhythmogenic right ventricular dysplasia/cardiomyopathy-associated desmosomal mutation carriers
Anneline S J M te Riele, Aditya Bhonsale, Cynthia A James, et al.
BMC Medicine
|
March 4, 2021
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value
Jordan Chamberlin, Madison R Kocher, Jeffrey Waltz, et al.
The International Journal of Cardiovascular Imaging
|
May 6, 2023
Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosis
Jordan H Chamberlin, Madison R Kocher, Gilberto Aquino, et al.
Radiology
|
October 5, 2021
Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes
Gilberto J Aquino, Andres F Abadia, U Joseph Schoepf, et al.
Radiology
|
May 31, 2022
CT in Transcatheter-delivered Treatment of Valvular Heart Disease
Piotr Nikodem Rudzinski, Jonathon A Leipsic, U Joseph Schoepf, et al.
European Radiology
|
March 11, 2022
Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
Gilberto J Aquino, Jordan Chamberlin, Basel Yacoub, et al.
BMC Infectious Diseases
|
July 21, 2022
Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning
Jordan H Chamberlin, Gilberto Aquino, Sophia Nance, et al.
Journal of Cardiovascular Computed Tomography
|
December 31, 2021
Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes
Gilberto J Aquino, Jordan Chamberlin, Megan Mercer, et al.
Page
of 6