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Plug and play methods for magnetic resonance imaging (long version)

Plug and play methods for magnetic resonance imaging (long version)

20 March 2019
Rizwan Ahmad
Charles A. Bouman
G. Buzzard
Stanley H. Chan
Sizhuo Liu
E. T. Reehorst
Philip Schniter
ArXivPDFHTML

Papers citing "Plug and play methods for magnetic resonance imaging (long version)"

31 / 31 papers shown
Title
An incremental algorithm for non-convex AI-enhanced medical image processing
An incremental algorithm for non-convex AI-enhanced medical image processing
Elena Morotti
34
0
0
13 May 2025
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging
Yiwei Chen
Amir Aghabiglou
Shijie Chen
Motahare Torki
Chao Tang
Ruud B. van Heeswijk
Yves Wiaux
56
0
0
12 Mar 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
Ulugbek S. Kamilov
MedIm
74
5
0
21 Feb 2025
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Chinmay Rao
M. Osch
Nicola Pezzotti
J. de Bresser
Laurens Beljaards
J. Meineke
E. Weerdt
Huangling Lu
M. Doneva
Marius Staring
30
1
0
20 Sep 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
Shuchang Zhang
Hui Zhang
Hongxia Wang
55
0
0
18 Jul 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play
  Priors
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Zihui Wu
Yu Sun
Yifan Chen
Bingliang Zhang
Yisong Yue
Katherine L. Bouman
DiffM
32
20
0
29 May 2024
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
Chicago Park
S. Shoushtari
Weijie Gan
Ulugbek S. Kamilov
10
0
0
30 Nov 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Weijie Gan
S. Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
20
11
0
22 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image
  Prior
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Zongyu Li
Jason Hu
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
DiffM
24
3
0
12 May 2023
Learning Task-Specific Strategies for Accelerated MRI
Learning Task-Specific Strategies for Accelerated MRI
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian V. Dalca
Katherine L. Bouman
30
4
0
25 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
Florentin Coeurdoux
N. Dobigeon
P. Chainais
27
14
0
21 Apr 2023
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring
  Spatially Varying Kernels
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels
Charles Laroche
Andrés Almansa
Eva Coupeté
Matias Tassano
25
2
0
19 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior
Video Restoration with a Deep Plug-and-Play Prior
Antoine Monod
J. Delon
Matias Tassano
Andrés Almansa
25
1
0
06 Sep 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched
  Priors
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
S. Shoushtari
Jiaming Liu
Yuyang Hu
Ulugbek S. Kamilov
26
6
0
26 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Alper Gungor
S. Dar
cSaban Ozturk
Yilmaz Korkmaz
Gokberk Elmas
Muzaffer Özbey
Tolga cCukur
DiffM
MedIm
27
184
0
12 Jul 2022
Optimization-Derived Learning with Essential Convergence Analysis of
  Training and Hyper-training
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
40
6
0
16 Jun 2022
A theoretical framework for self-supervised MR image reconstruction
  using sub-sampling via variable density Noisier2Noise
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise
Charles Millard
M. Chiew
32
32
0
20 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and
  Optimization
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Nir Shlezinger
Yonina C. Eldar
Stephen P. Boyd
22
130
0
05 May 2022
Tuning-free multi-coil compressed sensing MRI with Parallel Variable
  Density Approximate Message Passing (P-VDAMP)
Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP)
Charles Millard
M. Chiew
Jared Tanner
A. Hess
B. Mailhé
13
2
0
08 Mar 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and
  stochastic gradient descent
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
22
25
0
16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
27
93
0
07 Oct 2021
MRI Reconstruction Using Deep Energy-Based Model
MRI Reconstruction Using Deep Energy-Based Model
Yu Guan
Zongjiang Tu
Shanshan Wang
Qiegen Liu
Yuhao Wang
Dong Liang
DiffM
MedIm
31
13
0
07 Sep 2021
Deformation-Compensated Learning for Image Reconstruction without Ground
  Truth
Deformation-Compensated Learning for Image Reconstruction without Ground Truth
Weijie Gan
Yu Sun
C. Eldeniz
Jiaming Liu
H. An
Ulugbek S. Kamilov
18
12
0
12 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Masatoshi Nagahama
Koki Yamada
Yuichi Tanaka
Stanley H. Chan
Yonina C. Eldar
24
18
0
30 Jun 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair
Ruturaj G. Gavaskar
K. Chaudhury
43
37
0
21 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
38
225
0
23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
24
109
0
08 Mar 2021
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic
  Method using Deep Denoising Priors
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun
Jiaming Liu
Yiran Sun
B. Wohlberg
Ulugbek S. Kamilov
29
15
0
03 Oct 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
21
24
0
05 Jun 2020
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging
  Problems
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Franziska Schirrmacher
Thomas Köhler
Christian Riess
14
5
0
06 Apr 2018
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