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

Paul F Jaeger

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

Pageof 1
Sort By:
Nature Methods|December 8, 2020
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentationFabian Isensee, Paul F Jaeger, Simon A A Kohl, et al.
Medical Image Analysis|February 1, 2025
Application-driven validation of posteriors in inverse problemsTim J Adler, Jan-Hinrich Nölke, Annika Reinke, et al.
Computers in Biology and Medicine|November 6, 2025
Risk-adjusted training and evaluation for breast cancer detectionDimitrios Bounias, Michael Baumgartner, Peter Neher, et al.
Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Journal of the American Medical Informatics Association : JAMIA|September 23, 2025
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workloadDimitrios Bounias, Lina Simons, Michael Baumgartner, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1

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

Sort By:
Pageof 1
Nature Methods|December 8, 2020
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentationFabian Isensee, Paul F Jaeger, Simon A A Kohl, et al.
Medical Image Analysis|February 1, 2025
Application-driven validation of posteriors in inverse problemsTim J Adler, Jan-Hinrich Nölke, Annika Reinke, et al.
Computers in Biology and Medicine|November 6, 2025
Risk-adjusted training and evaluation for breast cancer detectionDimitrios Bounias, Michael Baumgartner, Peter Neher, et al.
Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Journal of the American Medical Informatics Association : JAMIA|September 23, 2025
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workloadDimitrios Bounias, Lina Simons, Michael Baumgartner, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1