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MRI Reconstruction Using Deep Bayesian Estimation

MRI Reconstruction Using Deep Bayesian Estimation

3 September 2019
Guanxiong Luo
Na Zhao
Wenhao Jiang
E. Hui
Peng Cao
    MedIm
ArXivPDFHTML

Papers citing "MRI Reconstruction Using Deep Bayesian Estimation"

10 / 10 papers shown
Title
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging
  Reconstruction
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction
Wei Zhang
Zengwei Xiao
Hui Tao
Minghui Zhang
Xiaoling Xu
Qiegen Liu
MedIm
51
1
0
11 Dec 2022
Generalized Deep Learning-based Proximal Gradient Descent for MR
  Reconstruction
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction
Guanxiong Luo
Mengmeng Kuang
Peng Cao
17
1
0
30 Nov 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging
  Reconstruction
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction
Hong Peng
Chenbo Jiang
Jing Cheng
Minghui Zhang
Shanshan Wang
Dong Liang
Qiegen Liu
DiffM
MedIm
44
17
0
15 Aug 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
K-space and Image Domain Collaborative Energy based Model for Parallel
  MRI Reconstruction
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction
Zongjiang Tu
Chenbo Jiang
Yu Guan
Shanshan Wang
Jijun Liu
Qiegen Liu
Dong Liang
MedIm
32
16
0
21 Mar 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging
Universal Generative Modeling for Calibration-free Parallel Mr Imaging
Wanqing Zhu
Bing Guan
Shanshan Wang
Minghui Zhang
Qiegen Liu
MedIm
28
4
0
25 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio'
T. Leiner
P. Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
27
87
0
23 Dec 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
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1