Learning stochastic object model from noisy imaging measurements using AmbientGANs. - Weimin Zhou; Sayantan Bhadra; Frank J. Brooks; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2019)

Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. - Weimin Zhou; Sayantan Bhadra; Frank J. Brooks; Hua Li 003; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2020)

Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks. - Sayantan Bhadra; Weimin Zhou; Mark A. Anastasio (CoRR, 2020)

Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. - Weimin Zhou; Sayantan Bhadra; Frank J. Brooks; Hua Li 003; Mark A. Anastasio (CoRR, 2020)

Assessing regularization in tomographic imaging via hallucinations in the null space. - Sayantan Bhadra; Varun A. Kelkar; Frank J. Brooks; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2021)

Advancing the AmbientGAN for learning stochastic object models. - Weimin Zhou; Sayantan Bhadra; Frank J. Brooks; Jason L. Granstedt; Hua Li 003; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2021)

Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. - Weimin Zhou; Sayantan Bhadra; Frank J. Brooks; Hua Li 003; Mark A. Anastasio (CoRR, 2021)

Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction. - Varun A. Kelkar; Sayantan Bhadra; Mark A. Anastasio (IEEE Trans. Computational Imaging, 2021)

On Hallucinations in Tomographic Image Reconstruction. - Sayantan Bhadra; Varun A. Kelkar; Frank J. Brooks; Mark A. Anastasio (IEEE Trans. Medical Imaging, 2021)

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems. - Sayantan Bhadra; Umberto Villa; Mark A. Anastasio (CoRR, 2022)

Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. - Jianfei Liu; Omid Shafaat; Sayantan Bhadra; Christopher Parnell; Ayden Harris; Ronald M. Summers (Int. J. Comput. Assist. Radiol. Surg., 2024)

A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST). - Jianfei Liu; Sayantan Bhadra; Omid Shafaat; Pritam Mukherjee; Christopher Parnell; Ronald M. Summers (Comput. Medical Imaging Graph., 2025)

Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation. - Sayantan Bhadra; Jianfei Liu; Ronald M. Summers (Int. J. Comput. Assist. Radiol. Surg., 2025)