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

Varun A Kelkar

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

Pageof 1
Sort By:
IEEE Transactions on Computational Imaging|August 22, 2022
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image ReconstructionVarun A Kelkar, Sayantan Bhadra, Mark A Anastasio
IEEE Transactions on Medical Imaging|May 5, 2021
On Hallucinations in Tomographic Image ReconstructionSayantan Bhadra, Varun A Kelkar, Frank J Brooks, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 19, 2021
Impact of deep learning-based image super-resolution on binary signal detectionXiaohui Zhang, Varun A Kelkar, Jason Granstedt, et al.
IEEE Transactions on Bio-Medical Engineering|January 24, 2024
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative ModelsRuiyang Zhao, Xi Peng, Varun A Kelkar, et al.
IEEE Transactions on Medical Imaging|April 6, 2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image StatisticsVarun A Kelkar, Dimitrios S Gotsis, Frank J Brooks, et al.
Medical Physics|October 24, 2024
Report on the AAPM grand challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Arxiv|May 15, 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Computational Imaging|August 22, 2022
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image ReconstructionVarun A Kelkar, Sayantan Bhadra, Mark A Anastasio
IEEE Transactions on Medical Imaging|May 5, 2021
On Hallucinations in Tomographic Image ReconstructionSayantan Bhadra, Varun A Kelkar, Frank J Brooks, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 19, 2021
Impact of deep learning-based image super-resolution on binary signal detectionXiaohui Zhang, Varun A Kelkar, Jason Granstedt, et al.
IEEE Transactions on Bio-Medical Engineering|January 24, 2024
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative ModelsRuiyang Zhao, Xi Peng, Varun A Kelkar, et al.
IEEE Transactions on Medical Imaging|April 6, 2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image StatisticsVarun A Kelkar, Dimitrios S Gotsis, Frank J Brooks, et al.
Medical Physics|October 24, 2024
Report on the AAPM grand challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Arxiv|May 15, 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Pageof 1