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European Radiology
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August 2, 2018
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management
Sarah J van Riel, Colin Jacobs, Ernst Th Scholten, et al.
Research and Practice in Thrombosis and Haemostasis
|
December 14, 2020
Establishing diagnostic criteria and treatment of subsegmental pulmonary embolism: A Delphi analysis of experts
Paul L den Exter, Lucia J M Kroft, Carol Gonsalves, et al.
Journal of Thoracic Imaging
|
March 15, 2013
Computed tomography pulmonary angiography in acute pulmonary embolism: the effect of a computer-assisted detection prototype used as a concurrent reader
Rianne Wittenberg, Joost F Peters, Inge A H van den Berk, 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 Agreement
Colin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
European Radiology
|
March 31, 2022
Increased regional ventilation as early imaging marker for future disease progression of interstitial lung disease: a feasibility study
Sarah C Scharm, Cornelia Schaefer-Prokop, Moritz Willmann, et al.
European Radiology
|
March 27, 2012
Observer training for computer-aided detection of pulmonary nodules in chest radiography
Diederick W De Boo, François van Hoorn, Joost van Schuppen, et al.
Radiology
|
December 23, 2011
Acute pulmonary embolism: effect of a computer-assisted detection prototype on diagnosis--an observer study
Rianne Wittenberg, Ferco H Berger, Joost F Peters, et al.
Scientific Reports
|
September 8, 2017
Corrigendum: Towards automatic pulmonary nodule management in lung cancer screening with deep learning
F Ciompi, K Chung, S J van Riel, et al.
Scientific Reports
|
April 20, 2017
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
Francesco Ciompi, Kaman Chung, Sarah J van Riel, et al.
The European Respiratory Journal
|
October 15, 2021
Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility
Anton Schreuder, Colin Jacobs, Nikolas Lessmann, et al.
Page
of 251
Search research articles
Search
Showing results (161-170 of 2,507) with videos related to
Sort By:
Page
of 251
European Radiology
|
August 2, 2018
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management
Sarah J van Riel, Colin Jacobs, Ernst Th Scholten, et al.
Research and Practice in Thrombosis and Haemostasis
|
December 14, 2020
Establishing diagnostic criteria and treatment of subsegmental pulmonary embolism: A Delphi analysis of experts
Paul L den Exter, Lucia J M Kroft, Carol Gonsalves, et al.
Journal of Thoracic Imaging
|
March 15, 2013
Computed tomography pulmonary angiography in acute pulmonary embolism: the effect of a computer-assisted detection prototype used as a concurrent reader
Rianne Wittenberg, Joost F Peters, Inge A H van den Berk, 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 Agreement
Colin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
European Radiology
|
March 31, 2022
Increased regional ventilation as early imaging marker for future disease progression of interstitial lung disease: a feasibility study
Sarah C Scharm, Cornelia Schaefer-Prokop, Moritz Willmann, et al.
European Radiology
|
March 27, 2012
Observer training for computer-aided detection of pulmonary nodules in chest radiography
Diederick W De Boo, François van Hoorn, Joost van Schuppen, et al.
Radiology
|
December 23, 2011
Acute pulmonary embolism: effect of a computer-assisted detection prototype on diagnosis--an observer study
Rianne Wittenberg, Ferco H Berger, Joost F Peters, et al.
Scientific Reports
|
September 8, 2017
Corrigendum: Towards automatic pulmonary nodule management in lung cancer screening with deep learning
F Ciompi, K Chung, S J van Riel, et al.
Scientific Reports
|
April 20, 2017
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
Francesco Ciompi, Kaman Chung, Sarah J van Riel, et al.
The European Respiratory Journal
|
October 15, 2021
Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility
Anton Schreuder, Colin Jacobs, Nikolas Lessmann, et al.
Page
of 251