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Raphael Sexauer

Showing results (1-10 of 12) with videos related to

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Journal of Imaging|July 27, 2022
Time Is Money: Considerations for Measuring the Radiological Reading TimeRaphael Sexauer, Caroline Bestler
Journal of Imaging|March 24, 2022
Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome AssessmentRaphael Sexauer, Bram Stieltjes, Jens Bremerich, et al.
Insights Into Imaging|May 18, 2023
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networksPatryk Hejduk, Raphael Sexauer, Carlotta Ruppert, et al.
European Radiology|July 15, 2025
Enhancing breast positioning quality through real-time AI feedbackRaphael Sexauer, Friederike Riehle, Karol Borkowski, et al.
European Radiology|March 1, 2023
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networksRaphael Sexauer, Patryk Hejduk, Karol Borkowski, et al.
Journal of Imaging|January 20, 2022
Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-AnalysisDesiree Zettinig, Tugba Akinci D'Antonoli, Adrian Wilder-Smith, et al.
Investigative Radiology|July 7, 2022
Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine LearningRaphael Sexauer, Shan Yang, Thomas Weikert, et al.
European Journal of Radiology|March 25, 2022
Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumoniaJulien Poletti, Michael Bach, Shan Yang, et al.
Contrast Media & Molecular Imaging|December 6, 2018
Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung CancerRaphael Sexauer, Thomas Weikert, Kevin Mader, et al.
European Radiology|March 20, 2021
AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set sizePatrick Tobler, Joshy Cyriac, Balazs K Kovacs, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Imaging|July 27, 2022
Time Is Money: Considerations for Measuring the Radiological Reading TimeRaphael Sexauer, Caroline Bestler
Journal of Imaging|March 24, 2022
Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome AssessmentRaphael Sexauer, Bram Stieltjes, Jens Bremerich, et al.
Insights Into Imaging|May 18, 2023
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networksPatryk Hejduk, Raphael Sexauer, Carlotta Ruppert, et al.
European Radiology|July 15, 2025
Enhancing breast positioning quality through real-time AI feedbackRaphael Sexauer, Friederike Riehle, Karol Borkowski, et al.
European Radiology|March 1, 2023
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networksRaphael Sexauer, Patryk Hejduk, Karol Borkowski, et al.
Journal of Imaging|January 20, 2022
Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-AnalysisDesiree Zettinig, Tugba Akinci D'Antonoli, Adrian Wilder-Smith, et al.
Investigative Radiology|July 7, 2022
Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine LearningRaphael Sexauer, Shan Yang, Thomas Weikert, et al.
European Journal of Radiology|March 25, 2022
Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumoniaJulien Poletti, Michael Bach, Shan Yang, et al.
Contrast Media & Molecular Imaging|December 6, 2018
Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung CancerRaphael Sexauer, Thomas Weikert, Kevin Mader, et al.
European Radiology|March 20, 2021
AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set sizePatrick Tobler, Joshy Cyriac, Balazs K Kovacs, et al.
Pageof 2