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

Alexander Preuhs

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Medical Imaging|April 12, 2021
Data Extrapolation From Learned Prior Images for Truncation Correction in Computed TomographyYixing Huang, Alexander Preuhs, Michael Manhart, et al.
International Journal of Computer Assisted Radiology and Surgery|June 3, 2018
Viewpoint planning for quantitative coronary angiographyAlexander Preuhs, Martin Berger, Sebastian Bauer, et al.
International Journal of Computer Assisted Radiology and Surgery|July 14, 2019
Symmetry prior for epipolar consistencyAlexander Preuhs, Andreas Maier, Michael Manhart, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Appearance Learning for Image-Based Motion Estimation in TomographyAlexander Preuhs, Michael Manhart, Philipp Roser, et al.
IEEE Transactions on Medical Imaging|April 13, 2021
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance ImagingElisabeth Hoppe, Jens Wetzl, Seung Su Yoon, et al.
International Journal of Computer Assisted Radiology and Surgery|December 4, 2020
XDose: toward online cross-validation of experimental and computational X-ray dose estimationPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
IEEE Transactions on Medical Imaging|April 21, 2021
X-Ray Scatter Estimation Using Deep SplinesPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
IEEE Transactions on Medical Imaging|October 4, 2024
A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CTMareike Thies, Fabian Wagner, Noah Maul, et al.
Journal of Clinical Imaging Science|December 18, 2025
Improving cone-beam computed tomography image quality for transarterial therapy of liver malignancies: Evaluation of a motion correction algorithm with and without automated bone removalAbdul Rehman Mustafa, Adham Khalil, Arun Kamireddy, et al.
European Radiology Experimental|September 22, 2025
Threshold optimization in AI chest radiography analysis: integrating real-world data and clinical subgroupsJan Rudolph, Christian Huemmer, Alexander Preuhs, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Medical Imaging|April 12, 2021
Data Extrapolation From Learned Prior Images for Truncation Correction in Computed TomographyYixing Huang, Alexander Preuhs, Michael Manhart, et al.
International Journal of Computer Assisted Radiology and Surgery|June 3, 2018
Viewpoint planning for quantitative coronary angiographyAlexander Preuhs, Martin Berger, Sebastian Bauer, et al.
International Journal of Computer Assisted Radiology and Surgery|July 14, 2019
Symmetry prior for epipolar consistencyAlexander Preuhs, Andreas Maier, Michael Manhart, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Appearance Learning for Image-Based Motion Estimation in TomographyAlexander Preuhs, Michael Manhart, Philipp Roser, et al.
IEEE Transactions on Medical Imaging|April 13, 2021
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance ImagingElisabeth Hoppe, Jens Wetzl, Seung Su Yoon, et al.
International Journal of Computer Assisted Radiology and Surgery|December 4, 2020
XDose: toward online cross-validation of experimental and computational X-ray dose estimationPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
IEEE Transactions on Medical Imaging|April 21, 2021
X-Ray Scatter Estimation Using Deep SplinesPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
IEEE Transactions on Medical Imaging|October 4, 2024
A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CTMareike Thies, Fabian Wagner, Noah Maul, et al.
Journal of Clinical Imaging Science|December 18, 2025
Improving cone-beam computed tomography image quality for transarterial therapy of liver malignancies: Evaluation of a motion correction algorithm with and without automated bone removalAbdul Rehman Mustafa, Adham Khalil, Arun Kamireddy, et al.
European Radiology Experimental|September 22, 2025
Threshold optimization in AI chest radiography analysis: integrating real-world data and clinical subgroupsJan Rudolph, Christian Huemmer, Alexander Preuhs, et al.
Pageof 2