Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Benedict Oerther

Showing results (1-10 of 19) with videos related to

Pageof 2
Sort By:
Radiologie (Heidelberg, Germany)|February 10, 2026
[Special aspects of magnetic resonance imaging of pediatric bone marrow]Markus Uhl, Simon Wiedemann, Sebastian Berg, et al.
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.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|January 26, 2022
More Than Detection of Adenocarcinoma - Indications and Findings in Prostate MRI in Benign Prostatic DisordersBenedict Oerther, August Sigle, Tobias Franiel, et al.
BMJ Open|October 7, 2022
Living systematic review and meta-analysis of the prostate MRI diagnostic test with Prostate Imaging Reporting and Data System (PI-RADS) assessment for the detection of prostate cancer: study protocolBenedict Oerther, Christine Schmucker, Guido Schwarzer, 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.
Radiation Oncology (London, England)|April 3, 2022
Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathologyDeepa Darshini Gunashekar, Lars Bielak, Leonard Hägele, 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.
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.
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.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Radiologie (Heidelberg, Germany)|February 10, 2026
[Special aspects of magnetic resonance imaging of pediatric bone marrow]Markus Uhl, Simon Wiedemann, Sebastian Berg, et al.
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.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|January 26, 2022
More Than Detection of Adenocarcinoma - Indications and Findings in Prostate MRI in Benign Prostatic DisordersBenedict Oerther, August Sigle, Tobias Franiel, et al.
BMJ Open|October 7, 2022
Living systematic review and meta-analysis of the prostate MRI diagnostic test with Prostate Imaging Reporting and Data System (PI-RADS) assessment for the detection of prostate cancer: study protocolBenedict Oerther, Christine Schmucker, Guido Schwarzer, 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.
Radiation Oncology (London, England)|April 3, 2022
Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathologyDeepa Darshini Gunashekar, Lars Bielak, Leonard Hägele, 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.
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.
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.
Pageof 2