Posts by Collection

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks

Published in SPIE Medical Imaging 2020 [Paper]

Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio

Compressible latent-space invertible networks for generative model-constrained image reconstruction

Published in IEEE TCI 2021 [Paper]

Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio

On hallucinations in tomographic image reconstruction

Published in IEEE TMI 2021 (Second Special Issue on Machine Learning for Image Reconstruction) [Paper] [Code]

Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio

Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs

Preprint in arXiv 2021 [Paper]

Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Preprint in arXiv 2022 [Paper]

Sayantan Bhadra, Umberto Villa, Mark A. Anastasio

Learning stochastic object model from noisy imaging measurements using AmbientGANs

Conference proceeding paper and presentation

Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks

Conference proceeding paper and presentation

Assessing regularization in tomographic imaging via hallucinations in the null space

Conference proceeding paper and presentation

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.