Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Prostate Cancer and Prostatic Diseases|July 7, 2021
Cancer detection rates of the PI-RADSv2.1 assessment categories: systematic review and meta-analysis on lesion level and patient levelBenedict Oerther, Hannes Engel, Fabian Bamberg, et al.
European Journal of Radiology|June 10, 2020
MRI phenotype of the prostate: Transition zone radiomics analysis improves explanation of prostate-specific antigen (PSA) serum level compared to volume measurement aloneTobias Krauss, Hannes Engel, Cordula A Jilg, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|November 5, 2020
Chondrogenic Bone Tumors: The Importance of Imaging CharacteristicsHannes Engel, Georg W Herget, Hannah Füllgraf, 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.
Academic Radiology|January 1, 2026
Artificial Intelligence-Accelerated vs. Conventional Diffusion-Weighted Imaging for Prostate MRI: Comparing Quality and Quantitative MetricsVlad Sacalean, Oliver Gebler, Wei Liu, 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.
In Vivo (Athens, Greece)|September 13, 2022
Quantitative Analysis of Diffusion Weighted Imaging May Improve Risk Stratification of Prostatic Transition Zone LesionsHannes Engel, Benedict Oerther, Marco Reisert, et al.
Plos One|December 20, 2021
Validation of color Doppler ultrasound and computed tomography in the radiologic assessment of non-malignant acute splanchnic vein thrombosisLukas Sturm, Dominik Bettinger, Christoph Klinger, 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.
Pageof 2