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

Peter Neher

Showing results (21-30 of 38) with videos related to

Pageof 4
Sort By:
Academic Radiology|January 23, 2025
Advanced Automated Model for Robust Bone Marrow Segmentation in Whole-body MRIFabian Bauer, Jessica Kächele, Juliane Bernhard, et al.
Nature Communications|June 12, 2025
AI-Based screening for thoracic aortic aneurysms in routine breast MRIDimitrios Bounias, Tobit Führes, Luise Brock, et al.
STAR Protocols|November 6, 2025
u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aidMaximilian Fischer, Miriam Cindy Maurer, Robin Peretzke, et al.
The Journal of Pathology|November 4, 2025
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue coresMaximilian Fischer, Alexander Muckenhuber, Robin Peretzke, et al.
Journal of the American Medical Informatics Association : JAMIA|October 25, 2024
Real-world federated learning in radiology: hurdles to overcome and benefits to gainMarkus Ralf Bujotzek, Ünal Akünal, Stefan Denner, 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.
Iscience|January 1, 2026
LINNDA: Lymphoma identification through neural network detection aidPaul Vincent Naser, Maximilian Fischer, Miriam Cindy Maurer, et al.
Investigative Radiology|September 27, 2022
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional StudyMarkus Wennmann, Fabian Bauer, André Klein, et al.
Investigative Radiology|May 31, 2022
Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility StudyMarkus Wennmann, André Klein, Fabian Bauer, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|August 12, 2015
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for NeurosurgerySonia Pujol, William Wells, Carlo Pierpaoli, et al.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
Academic Radiology|January 23, 2025
Advanced Automated Model for Robust Bone Marrow Segmentation in Whole-body MRIFabian Bauer, Jessica Kächele, Juliane Bernhard, et al.
Nature Communications|June 12, 2025
AI-Based screening for thoracic aortic aneurysms in routine breast MRIDimitrios Bounias, Tobit Führes, Luise Brock, et al.
STAR Protocols|November 6, 2025
u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aidMaximilian Fischer, Miriam Cindy Maurer, Robin Peretzke, et al.
The Journal of Pathology|November 4, 2025
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue coresMaximilian Fischer, Alexander Muckenhuber, Robin Peretzke, et al.
Journal of the American Medical Informatics Association : JAMIA|October 25, 2024
Real-world federated learning in radiology: hurdles to overcome and benefits to gainMarkus Ralf Bujotzek, Ünal Akünal, Stefan Denner, 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.
Iscience|January 1, 2026
LINNDA: Lymphoma identification through neural network detection aidPaul Vincent Naser, Maximilian Fischer, Miriam Cindy Maurer, et al.
Investigative Radiology|September 27, 2022
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional StudyMarkus Wennmann, Fabian Bauer, André Klein, et al.
Investigative Radiology|May 31, 2022
Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility StudyMarkus Wennmann, André Klein, Fabian Bauer, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|August 12, 2015
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for NeurosurgerySonia Pujol, William Wells, Carlo Pierpaoli, et al.
Pageof 4