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

Elias Eulig

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

Pageof 1
Sort By:
Medical Physics|September 23, 2025
Noise-augmented deep denoising: A method to boost CT image denoising networksGernot Kristof, Elias Eulig, Marc Kachelrieß
Medical Physics|September 17, 2024
Benchmarking deep learning-based low-dose CT image denoising algorithmsElias Eulig, Björn Ommer, Marc Kachelrieß
Medical Physics|February 2, 2022
Real-time estimation of patient-specific dose distributions for medical CT using the deep dose estimationJoscha Maier, Laura Klein, Elias Eulig, et al.
Medical Physics|September 30, 2024
Reconstructing and analyzing the invariances of low-dose CT image denoising networksElias Eulig, Fabian Jäger, Joscha Maier, et al.
Medical Physics|June 4, 2025
Latent space reconstruction for missing data problems in CTAnton Kabelac, Elias Eulig, Joscha Maier, et al.
Medical Physics|February 14, 2024
Training of a deep learning based digital subtraction angiography method using synthetic dataLizhen Duan, Elias Eulig, Michael Knaup, et al.
Medical Physics|July 17, 2023
Real-time 3D reconstruction of guidewires and stents using two update X-ray projections in a rotating imaging setupTim Vöth, Thomas Koenig, Elias Eulig, et al.
Medical Physics|November 4, 2018
Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncationJoscha Maier, Elias Eulig, Tim Vöth, et al.
Medical Physics|August 13, 2021
Deep learning-based reconstruction of interventional tools and devices from four X-ray projections for tomographic interventional guidanceElias Eulig, Joscha Maier, Michael Knaup, et al.
Medical Physics|May 7, 2021
Deep learning-based coronary artery motion estimation and compensation for short-scan cardiac CTJoscha Maier, Sergej Lebedev, Julien Erath, et al.
Pageof 1

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

Sort By:
Pageof 1
Medical Physics|September 23, 2025
Noise-augmented deep denoising: A method to boost CT image denoising networksGernot Kristof, Elias Eulig, Marc Kachelrieß
Medical Physics|September 17, 2024
Benchmarking deep learning-based low-dose CT image denoising algorithmsElias Eulig, Björn Ommer, Marc Kachelrieß
Medical Physics|February 2, 2022
Real-time estimation of patient-specific dose distributions for medical CT using the deep dose estimationJoscha Maier, Laura Klein, Elias Eulig, et al.
Medical Physics|September 30, 2024
Reconstructing and analyzing the invariances of low-dose CT image denoising networksElias Eulig, Fabian Jäger, Joscha Maier, et al.
Medical Physics|June 4, 2025
Latent space reconstruction for missing data problems in CTAnton Kabelac, Elias Eulig, Joscha Maier, et al.
Medical Physics|February 14, 2024
Training of a deep learning based digital subtraction angiography method using synthetic dataLizhen Duan, Elias Eulig, Michael Knaup, et al.
Medical Physics|July 17, 2023
Real-time 3D reconstruction of guidewires and stents using two update X-ray projections in a rotating imaging setupTim Vöth, Thomas Koenig, Elias Eulig, et al.
Medical Physics|November 4, 2018
Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncationJoscha Maier, Elias Eulig, Tim Vöth, et al.
Medical Physics|August 13, 2021
Deep learning-based reconstruction of interventional tools and devices from four X-ray projections for tomographic interventional guidanceElias Eulig, Joscha Maier, Michael Knaup, et al.
Medical Physics|May 7, 2021
Deep learning-based coronary artery motion estimation and compensation for short-scan cardiac CTJoscha Maier, Sergej Lebedev, Julien Erath, et al.
Pageof 1