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Schaefer-Prokop

Showing results (171-180 of 205) with videos related to

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Texas Heart Institute Journal|June 16, 2010
Echocardiographic screening results in patients with tuberous sclerosis complexMiraude E A P M Adriaensen, Maarten J M Cramer, Madelon E E Brouha, et al.
Medical Image Analysis|January 18, 2014
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography imagesColin Jacobs, Eva M van Rikxoort, Thorsten Twellmann, et al.
European Radiology Experimental|April 27, 2026
Photon-counting CT for dynamic lung perfusion: validation of a low-dose protocol in a porcine lung transplantation modelAnna M Hunkemöller, Thomas Werncke, Julian Dittrich, et al.
Thrombosis and Haemostasis|January 12, 2010
Comparison of 4- and 64-slice CT scanning in the diagnosis of pulmonary embolismRenée A Douma, Herman M A Hofstee, Cornelia Schaefer-Prokop, 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.
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 readerRianne 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 AgreementColin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
Radiology|August 14, 2020
Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19Steven Schalekamp, Merel Huisman, Rogier A van Dijk, et al.
Radiology|December 23, 2011
Acute pulmonary embolism: effect of a computer-assisted detection prototype on diagnosis--an observer studyRianne 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 learningF Ciompi, K Chung, S J van Riel, et al.
Pageof 21

Showing results (171-180 of 205) with videos related to

Sort By:
Pageof 21
Texas Heart Institute Journal|June 16, 2010
Echocardiographic screening results in patients with tuberous sclerosis complexMiraude E A P M Adriaensen, Maarten J M Cramer, Madelon E E Brouha, et al.
Medical Image Analysis|January 18, 2014
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography imagesColin Jacobs, Eva M van Rikxoort, Thorsten Twellmann, et al.
European Radiology Experimental|April 27, 2026
Photon-counting CT for dynamic lung perfusion: validation of a low-dose protocol in a porcine lung transplantation modelAnna M Hunkemöller, Thomas Werncke, Julian Dittrich, et al.
Thrombosis and Haemostasis|January 12, 2010
Comparison of 4- and 64-slice CT scanning in the diagnosis of pulmonary embolismRenée A Douma, Herman M A Hofstee, Cornelia Schaefer-Prokop, 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.
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 readerRianne 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 AgreementColin Jacobs, Anton Schreuder, Sarah J van Riel, et al.
Radiology|August 14, 2020
Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19Steven Schalekamp, Merel Huisman, Rogier A van Dijk, et al.
Radiology|December 23, 2011
Acute pulmonary embolism: effect of a computer-assisted detection prototype on diagnosis--an observer studyRianne 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 learningF Ciompi, K Chung, S J van Riel, et al.
Pageof 21