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Onno M Mets

Showing results (21-30 of 32) with videos related to

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Radiology|March 25, 2017
Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?Kaman Chung, Colin Jacobs, Ernst T Scholten, et al.
European Radiology|August 2, 2018
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient managementSarah J van Riel, Colin Jacobs, Ernst Th Scholten, et al.
Radiology. Imaging Cancer|September 24, 2021
Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS AgreementColin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
European Journal of Radiology|October 26, 2016
Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliabilityEsther Pompe, Eva M van Rikxoort, Onno M Mets, et al.
European Radiology Experimental|November 20, 2024
An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader studyInge A H van den Berk, Colin Jacobs, Maadrika M N P Kanglie, et al.
COPD|August 6, 2014
Contribution of CT quantified emphysema, air trapping and airway wall thickness on pulmonary function in male smokers with and without COPDFirdaus A A Mohamed Hoesein, Pim A de Jong, Jan-Willem J Lammers, et al.
Plos One|August 1, 2012
Visual versus automated evaluation of chest computed tomography for the presence of chronic obstructive pulmonary diseaseOnno M Mets, Ewoud J Smit, Firdaus A A Mohamed Hoesein, et al.
JAMA|October 27, 2011
Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scansOnno M Mets, Constantinus F M Buckens, Pieter Zanen, et al.
Respiratory Medicine|September 17, 2013
Discriminating dominant computed tomography phenotypes in smokers without or with mild COPDFirdaus A A Mohamed Hoesein, Michael Schmidt, Onno M Mets, et al.
JACC. Cardiovascular Imaging|June 18, 2013
Lung cancer screening CT-based prediction of cardiovascular eventsOnno M Mets, Rozemarijn Vliegenthart, Martijn J Gondrie, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Radiology|March 25, 2017
Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?Kaman Chung, Colin Jacobs, Ernst T Scholten, et al.
European Radiology|August 2, 2018
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient managementSarah J van Riel, Colin Jacobs, Ernst Th Scholten, et al.
Radiology. Imaging Cancer|September 24, 2021
Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS AgreementColin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
European Journal of Radiology|October 26, 2016
Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliabilityEsther Pompe, Eva M van Rikxoort, Onno M Mets, et al.
European Radiology Experimental|November 20, 2024
An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader studyInge A H van den Berk, Colin Jacobs, Maadrika M N P Kanglie, et al.
COPD|August 6, 2014
Contribution of CT quantified emphysema, air trapping and airway wall thickness on pulmonary function in male smokers with and without COPDFirdaus A A Mohamed Hoesein, Pim A de Jong, Jan-Willem J Lammers, et al.
Plos One|August 1, 2012
Visual versus automated evaluation of chest computed tomography for the presence of chronic obstructive pulmonary diseaseOnno M Mets, Ewoud J Smit, Firdaus A A Mohamed Hoesein, et al.
JAMA|October 27, 2011
Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scansOnno M Mets, Constantinus F M Buckens, Pieter Zanen, et al.
Respiratory Medicine|September 17, 2013
Discriminating dominant computed tomography phenotypes in smokers without or with mild COPDFirdaus A A Mohamed Hoesein, Michael Schmidt, Onno M Mets, et al.
JACC. Cardiovascular Imaging|June 18, 2013
Lung cancer screening CT-based prediction of cardiovascular eventsOnno M Mets, Rozemarijn Vliegenthart, Martijn J Gondrie, et al.
Pageof 4