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

Sayantan Bhadra

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

Pageof 1
Sort By:
International Journal of Computer Assisted Radiology and Surgery|September 13, 2024
Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotationSayantan Bhadra, Jianfei Liu, Ronald M Summers
Proceedings of Spie--The International Society for Optical Engineering|October 7, 2024
Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-NetsSayantan Bhadra, Jianfei Liu, Ronald M Summers
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.)|March 1, 2022
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networksWeimin Zhou, Sayantan Bhadra, Frank J Brooks, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2024
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density priorJianfei Liu, Omid Shafaat, Sayantan Bhadra, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2025
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Pageof 1

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

Sort By:
Pageof 1
International Journal of Computer Assisted Radiology and Surgery|September 13, 2024
Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotationSayantan Bhadra, Jianfei Liu, Ronald M Summers
Proceedings of Spie--The International Society for Optical Engineering|October 7, 2024
Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-NetsSayantan Bhadra, Jianfei Liu, Ronald M Summers
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.)|March 1, 2022
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networksWeimin Zhou, Sayantan Bhadra, Frank J Brooks, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2024
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density priorJianfei Liu, Omid Shafaat, Sayantan Bhadra, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2025
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Pageof 1