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

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

27 January 2020
Sayantan Bhadra
Weimin Zhou
M. Anastasio
    MedImGAN
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
Vanshali Sharma
Debesh Jha
M. Bhuyan
P. Das
Ulas Bagci
MedIm
96
2
0
08 Feb 2025
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive
  Generative Models
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models
Ruiyang Zhao
Xi Peng
Varun A. Kelkar
M. Anastasio
F. Lam
GANMedIm
72
4
0
14 Jun 2023
ADIR: Adaptive Diffusion for Image Reconstruction
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu Hussein
Tom Tirer
Raja Giryes
DiffM
60
20
0
06 Dec 2022
Assessing the ability of generative adversarial networks to learn
  canonical medical image statistics
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
K. Prabhat
Kyle J. Myers
R. Zeng
M. Anastasio
MedImGANLM&MA
88
26
0
26 Apr 2022
Generative models and Bayesian inversion using Laplace approximation
Generative models and Bayesian inversion using Laplace approximation
M. Marschall
G. Wübbeler
F. Schmähling
Clemens Elster
59
1
0
15 Mar 2022
Mining the manifolds of deep generative models for multiple
  data-consistent solutions of ill-posed tomographic imaging problems
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems
Sayantan Bhadra
Umberto Villa
M. Anastasio
MedIm
82
3
0
10 Feb 2022
Learning stochastic object models from medical imaging measurements by
  use of advanced ambient generative adversarial networks
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
GANMedIm
105
17
0
27 Jun 2021
Advancing the AmbientGAN for learning stochastic object models
Advancing the AmbientGAN for learning stochastic object models
Weimin Zhou
Sayantan Bhadra
F. Brooks
Jason L. Granstedt
Hua Li
M. Anastasio
GANMedIm
43
3
0
30 Jan 2021
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of
  Generative Model
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Zhuonan He
Yikun Zhang
Yu Guan
S. Niu
Yi Zhang
Yang Chen
Qiegen Liu
DiffMMedIm
89
12
0
27 Sep 2020
Learning stochastic object models from medical imaging measurements
  using Progressively-Growing AmbientGANs
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
MedIm
41
5
0
29 May 2020
Deep Learning for Biomedical Image Reconstruction: A Survey
Deep Learning for Biomedical Image Reconstruction: A Survey
Hanene Ben Yedder
Ben Cardoen
Ghassan Hamarneh
MedIm3DV
124
97
0
26 Feb 2020
Pyramid Convolutional RNN for MRI Image Reconstruction
Pyramid Convolutional RNN for MRI Image Reconstruction
Eric Z. Chen
Puyang Wang
Xiao Chen
Terrence Chen
Shanhui Sun
86
44
0
02 Dec 2019
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