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Schaefer-Prokop

Showing results (131-140 of 205) with videos related to

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Radiology|October 13, 2015
Differentiating between Subsolid and Solid Pulmonary Nodules at CT: Inter- and Intraobserver Agreement between Experienced Thoracic RadiologistsCarole A Ridge, Afra Yildirim, Phillip M Boiselle, et al.
Clinical Radiology|May 17, 2011
Computed radiography versus mobile direct radiography for bedside chest radiographs: impact of dose on image quality and reader agreementD W De Boo, M Weber, E E Deurloo, et al.
Radiology|April 24, 2010
Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinationsBartjan de Hoop, Cornelia Schaefer-Prokop, Hester A Gietema, et al.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Radiology|July 11, 2023
Regional Pulmonary Morphology and Function: Photon-counting CT AssessmentSarah C Scharm, Cornelia Schaefer-Prokop, Hinrich B Winther, et al.
Journal of Thoracic Imaging|October 6, 2010
Focal fatty areas in the myocardium of patients with tuberous sclerosis complex: a unique findingMiraude E A P M Adriaensen, Harm H H Feringa, Cornelia M Schaefer-Prokop, et al.
Academic Radiology|October 4, 2011
Computer-aided detection of small pulmonary nodules in chest radiographs: an observer studyDiederick W De Boo, Martin Uffmann, Michael Weber, et al.
Radiology|July 4, 2018
Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader VariabilityAnton Schreuder, Bram van Ginneken, Ernst T Scholten, et al.
Cancers|July 2, 2021
CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?Anton Schreuder, Mathias Prokop, Ernst T Scholten, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Pageof 21

Showing results (131-140 of 205) with videos related to

Sort By:
Pageof 21
Radiology|October 13, 2015
Differentiating between Subsolid and Solid Pulmonary Nodules at CT: Inter- and Intraobserver Agreement between Experienced Thoracic RadiologistsCarole A Ridge, Afra Yildirim, Phillip M Boiselle, et al.
Clinical Radiology|May 17, 2011
Computed radiography versus mobile direct radiography for bedside chest radiographs: impact of dose on image quality and reader agreementD W De Boo, M Weber, E E Deurloo, et al.
Radiology|April 24, 2010
Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinationsBartjan de Hoop, Cornelia Schaefer-Prokop, Hester A Gietema, et al.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Radiology|July 11, 2023
Regional Pulmonary Morphology and Function: Photon-counting CT AssessmentSarah C Scharm, Cornelia Schaefer-Prokop, Hinrich B Winther, et al.
Journal of Thoracic Imaging|October 6, 2010
Focal fatty areas in the myocardium of patients with tuberous sclerosis complex: a unique findingMiraude E A P M Adriaensen, Harm H H Feringa, Cornelia M Schaefer-Prokop, et al.
Academic Radiology|October 4, 2011
Computer-aided detection of small pulmonary nodules in chest radiographs: an observer studyDiederick W De Boo, Martin Uffmann, Michael Weber, et al.
Radiology|July 4, 2018
Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader VariabilityAnton Schreuder, Bram van Ginneken, Ernst T Scholten, et al.
Cancers|July 2, 2021
CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?Anton Schreuder, Mathias Prokop, Ernst T Scholten, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Pageof 21