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

Jan Ehrhardt

Showing results (1-10 of 32) with videos related to

Pageof 4
Sort By:
Medical Image Analysis|March 9, 2017
Multi-resolution multi-object statistical shape models based on the locality assumptionMatthias Wilms, Heinz Handels, Jan Ehrhardt
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A 4D statistical shape model for automated segmentation of lungs with large tumorsMatthias Wilms, Jan Ehrhardt, Heinz Handels
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 1, 2020
Memory-efficient GAN-based domain translation of high resolution 3D medical imagesHristina Uzunova, Jan Ehrhardt, Heinz Handels
Medical Image Analysis|February 22, 2017
Statistical appearance models based on probabilistic correspondencesJulia Krüger, Jan Ehrhardt, Heinz Handels
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 11, 2007
Live-wire-based segmentation using similarities between corresponding image structuresMatthias Färber, Jan Ehrhardt, Heinz Handels
IEEE Transactions on Bio-Medical Engineering|March 10, 2022
Localized Statistical Shape Models for Large-Scale Problems With Few Training DataMatthias Wilms, Jan Ehrhardt, Nils D Forkert
Medical Physics|June 24, 2009
Patient-specific finite element modeling of respiratory lung motion using 4D CT image dataRené Werner, Jan Ehrhardt, Rainer Schmidt, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2014
Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosisJulia Krüger, Jan Ehrhardt, Arpad Bischof, et al.
International Journal of Computer Assisted Radiology and Surgery|December 14, 2018
Unsupervised pathology detection in medical images using conditional variational autoencodersHristina Uzunova, Sandra Schultz, Heinz Handels, et al.
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|July 2, 2025
[AI-based applications in medical image computing]Timo Kepp, Hristina Uzunova, Jan Ehrhardt, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Medical Image Analysis|March 9, 2017
Multi-resolution multi-object statistical shape models based on the locality assumptionMatthias Wilms, Heinz Handels, Jan Ehrhardt
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A 4D statistical shape model for automated segmentation of lungs with large tumorsMatthias Wilms, Jan Ehrhardt, Heinz Handels
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 1, 2020
Memory-efficient GAN-based domain translation of high resolution 3D medical imagesHristina Uzunova, Jan Ehrhardt, Heinz Handels
Medical Image Analysis|February 22, 2017
Statistical appearance models based on probabilistic correspondencesJulia Krüger, Jan Ehrhardt, Heinz Handels
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 11, 2007
Live-wire-based segmentation using similarities between corresponding image structuresMatthias Färber, Jan Ehrhardt, Heinz Handels
IEEE Transactions on Bio-Medical Engineering|March 10, 2022
Localized Statistical Shape Models for Large-Scale Problems With Few Training DataMatthias Wilms, Jan Ehrhardt, Nils D Forkert
Medical Physics|June 24, 2009
Patient-specific finite element modeling of respiratory lung motion using 4D CT image dataRené Werner, Jan Ehrhardt, Rainer Schmidt, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2014
Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosisJulia Krüger, Jan Ehrhardt, Arpad Bischof, et al.
International Journal of Computer Assisted Radiology and Surgery|December 14, 2018
Unsupervised pathology detection in medical images using conditional variational autoencodersHristina Uzunova, Sandra Schultz, Heinz Handels, et al.
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|July 2, 2025
[AI-based applications in medical image computing]Timo Kepp, Hristina Uzunova, Jan Ehrhardt, et al.
Pageof 4