Sayantan Bhadra

16 papers Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST).
Comput. Medical Imaging Graph.
Jianfei Liu, Sayantan Bhadra, Omid Shafaat, Pritam Mukherjee, Christopher Parnell, Ronald M. Summers
2025 J jnl
Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation.
Int. J. Comput. Assist. Radiol. Surg.
Sayantan Bhadra, Jianfei Liu, Ronald M. Summers
2024 J jnl
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior.
Int. J. Comput. Assist. Radiol. Surg.
Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers
2022 J jnl
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems.
CoRR
Sayantan Bhadra, Umberto Villa, Mark A. Anastasio
2021 — conf
Advancing the AmbientGAN for learning stochastic object models.
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021 J jnl
Advancing the AmbientGAN for learning stochastic object models.
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021 — conf
Assessing regularization in tomographic imaging via hallucinations in the null space.
Image Perception, Observer Performance, and Technology Assessment
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2021 J jnl
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction.
IEEE Trans. Computational Imaging
Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio
2021 J jnl
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs.
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2021 J jnl
On Hallucinations in Tomographic Image Reconstruction.
IEEE Trans. Medical Imaging
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2020 J jnl
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs.
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020 J jnl
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks.
CoRR
Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio
2020 J jnl
On hallucinations in tomographic image reconstruction.
CoRR
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2020 J jnl
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements.
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020 — conf
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements.
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2019 — conf
Learning stochastic object model from noisy imaging measurements using AmbientGANs.
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Mark A. Anastasio