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Sayantan Bhadra
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2020 – today
- 2024
- [j3]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): 443-448 (2024) - 2022
- [i7]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 abs/2202.05311 (2022) - 2021
- [j2]Varun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio
:
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction. IEEE Trans. Computational Imaging 7: 209-223 (2021) - [j1]Sayantan Bhadra
, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
:
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 3249-3260 (2021) - [c4]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 - [c3]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 - [i6]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. CoRR abs/2102.00281 (2021) - [i5]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 abs/2106.14324 (2021) - 2020
- [c2]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: 113160Q - [i4]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR abs/2001.09523 (2020) - [i3]Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio:
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks. CoRR abs/2001.10830 (2020) - [i2]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 abs/2006.00033 (2020) - [i1]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On hallucinations in tomographic image reconstruction. CoRR abs/2012.00646 (2020)
2010 – 2019
- 2019
- [c1]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: 109520M
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