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Andrea Nedelcu

Showing results (1-10 of 9) with videos related to

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Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|January 17, 2025
Video-based Informed Consent in Radiology - Acceptance, Satisfaction, and EffectivenessDaniel Vogele, Andrea Nedelcu, Meinrad Beer, et al.
European Urology Open Science|September 14, 2023
A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance ImagingAndrea Nedelcu, Benedict Oerther, Hannes Engel, et al.
European Radiology Experimental|June 25, 2026
Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRIAndrea Nedelcu, Maximilian Frederic Russe, Caroline Wilpert, et al.
Radiation Oncology (London, England)|July 31, 2024
Comparison of data fusion strategies for automated prostate lesion detection using mpMRI correlated with whole mount histologyDeepa Darshini Gunashekar, Lars Bielak, Benedict Oerther, et al.
The Prostate|March 24, 2023
Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classificationBenedict Oerther, Hannes Engel, Andrea Nedelcu, et al.
La Radiologia Medica|April 16, 2025
Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancerHannes Engel, Andrea Nedelcu, Robert Grimm, et al.
Radiology|August 13, 2024
Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-AnalysisBenedict Oerther, Andrea Nedelcu, Hannes Engel, et al.
AJR. American Journal of Roentgenology|October 15, 2025
PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-AnalysisAndrea Nedelcu, Benedict Oerther, Alexander Benkendorff, et al.
Cancers|March 13, 2025
Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRIBenedict Oerther, Hannes Engel, Caroline Wilpert, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|January 17, 2025
Video-based Informed Consent in Radiology - Acceptance, Satisfaction, and EffectivenessDaniel Vogele, Andrea Nedelcu, Meinrad Beer, et al.
European Urology Open Science|September 14, 2023
A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance ImagingAndrea Nedelcu, Benedict Oerther, Hannes Engel, et al.
European Radiology Experimental|June 25, 2026
Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRIAndrea Nedelcu, Maximilian Frederic Russe, Caroline Wilpert, et al.
Radiation Oncology (London, England)|July 31, 2024
Comparison of data fusion strategies for automated prostate lesion detection using mpMRI correlated with whole mount histologyDeepa Darshini Gunashekar, Lars Bielak, Benedict Oerther, et al.
The Prostate|March 24, 2023
Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classificationBenedict Oerther, Hannes Engel, Andrea Nedelcu, et al.
La Radiologia Medica|April 16, 2025
Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancerHannes Engel, Andrea Nedelcu, Robert Grimm, et al.
Radiology|August 13, 2024
Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-AnalysisBenedict Oerther, Andrea Nedelcu, Hannes Engel, et al.
AJR. American Journal of Roentgenology|October 15, 2025
PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-AnalysisAndrea Nedelcu, Benedict Oerther, Alexander Benkendorff, et al.
Cancers|March 13, 2025
Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRIBenedict Oerther, Hannes Engel, Caroline Wilpert, et al.
Pageof 1