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Transform Learning for Magnetic Resonance Image Reconstruction: From
  Model-based Learning to Building Neural Networks
v1v2 (latest)

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks

25 March 2019
Bihan Wen
S. Ravishankar
L. Pfister
Y. Bresler
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks"

11 / 11 papers shown
Title
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
Shijun Liang
Anish Lahiri
S. Ravishankar
70
3
0
01 Jun 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OODMedIm
76
3
0
01 Apr 2022
Single-pass Object-adaptive Data Undersampling and Reconstruction for
  MRI
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
Zhishen Huang
S. Ravishankar
MedIm
78
10
0
17 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
102
339
0
03 Aug 2021
Model-based Reconstruction with Learning: From Unsupervised to
  Supervised and Beyond
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
Zhishen Huang
Siqi Ye
Michael T. McCann
S. Ravishankar
MedIm
51
10
0
26 Mar 2021
An unsupervised deep learning framework for medical image denoising
An unsupervised deep learning framework for medical image denoising
Swati Rai
Jignesh S. Bhatt
S. K. Patra
MedIm
49
16
0
11 Mar 2021
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale
  Problems
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
M. Zibetti
G. Herman
R. Regatte
48
5
0
04 Nov 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj
Y. Bresler
Yue Liu
OODAAML
96
51
0
26 Feb 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
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
130
244
0
04 Apr 2019
Plug and play methods for magnetic resonance imaging (long version)
Plug and play methods for magnetic resonance imaging (long version)
Rizwan Ahmad
Charles A. Bouman
G. Buzzard
Stanley H. Chan
Sizhuo Liu
E. T. Reehorst
Philip Schniter
137
197
0
20 Mar 2019
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