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

Georg L Baumgärtner

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Insights Into Imaging|May 13, 2026
Imaging-based clinical decision tree enables risk stratification of extraprostatic extension before radical prostatectomy in prostate cancer patientsCharlie A Hamm, Tim Rüterhenke, Georg L Baumgärtner, et al.
European Journal of Radiology|July 15, 2023
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRIGeorg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, et al.
Current Oncology (Toronto, Ont.)|December 24, 2025
Independent Validation of a Machine Learning Classifier for Predicting Mediastinal Lymph Node Metastases in Non-Small Cell Lung Cancer Using Routinely Obtainable [<sup>18</sup>F]FDG-PET/CT ParametersAgata Wdowiak, Julian M M Rogasch, Georg L Baumgärtner, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 23, 2023
A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [<sup>18</sup>F]FDG-PET/CT parametersJulian M M Rogasch, Liza Michaels, Georg L Baumgärtner, et al.
JAMA Network Open|February 2, 2026
Clinical and Liquid Biomarkers of 20-Year Prostate Cancer Risk in Men Aged 45 to 70 YearsMaximilian Lindholz, Robin Bülow, Ivo G Schoots, et al.
Radiology|April 11, 2023
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRICharlie A Hamm, Georg L Baumgärtner, Felix Biessmann, et al.
European Radiology|March 28, 2024
Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategiesCharlie A Hamm, Georg L Baumgärtner, Anwar R Padhani, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Insights Into Imaging|May 13, 2026
Imaging-based clinical decision tree enables risk stratification of extraprostatic extension before radical prostatectomy in prostate cancer patientsCharlie A Hamm, Tim Rüterhenke, Georg L Baumgärtner, et al.
European Journal of Radiology|July 15, 2023
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRIGeorg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, et al.
Current Oncology (Toronto, Ont.)|December 24, 2025
Independent Validation of a Machine Learning Classifier for Predicting Mediastinal Lymph Node Metastases in Non-Small Cell Lung Cancer Using Routinely Obtainable [<sup>18</sup>F]FDG-PET/CT ParametersAgata Wdowiak, Julian M M Rogasch, Georg L Baumgärtner, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 23, 2023
A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [<sup>18</sup>F]FDG-PET/CT parametersJulian M M Rogasch, Liza Michaels, Georg L Baumgärtner, et al.
JAMA Network Open|February 2, 2026
Clinical and Liquid Biomarkers of 20-Year Prostate Cancer Risk in Men Aged 45 to 70 YearsMaximilian Lindholz, Robin Bülow, Ivo G Schoots, et al.
Radiology|April 11, 2023
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRICharlie A Hamm, Georg L Baumgärtner, Felix Biessmann, et al.
European Radiology|March 28, 2024
Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategiesCharlie A Hamm, Georg L Baumgärtner, Anwar R Padhani, et al.
Pageof 1