Sayantan Bhadra

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Emission Tomography

Image Reconstruction

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Int. J. Comput. Assist. Radiol. Surg.

IEEE Trans. Medical Imaging

Publications

Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. Int. J. Comput. Assist. Radiol. Surg. 19 (3) (2024)
Sayantan Bhadra, Umberto Villa, Mark A. Anastasio
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems. CoRR (2022)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
Advancing the AmbientGAN for learning stochastic object models. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40 (11) (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
Assessing regularization in tomographic imaging via hallucinations in the null space. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
Advancing the AmbientGAN for learning stochastic object models. CoRR (2021)
Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction. IEEE Trans. Computational Imaging 7 (2021)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. CoRR (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On hallucinations in tomographic image reconstruction. CoRR (2020)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR (2020)
Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks. CoRR (2020)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. CoRR (2020)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Mark A. Anastasio
Learning stochastic object model from noisy imaging measurements using AmbientGANs. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)