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A Deep Cascade of Convolutional Neural Networks for MR Image
  Reconstruction

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

1 March 2017
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
ArXivPDFHTML

Papers citing "A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction"

50 / 57 papers shown
Title
MambaRecon: MRI Reconstruction with Structured State Space Models
MambaRecon: MRI Reconstruction with Structured State Space Models
Yilmaz Korkmaz
V. Patel
Mamba
48
2
0
19 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via
  continual learning
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong
S. Chun
Jongho Lee
38
2
0
16 Sep 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction
  Using Deep Learning
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
42
5
0
03 Jun 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and
  multi-contrast undersampled MRI reconstruction
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Ziqi Gao
Yue Zhang
Xinwen Liu
Kaiyan Li
S. Kevin Zhou
52
1
0
08 Mar 2024
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient
  Descent over K-space Subsets
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
Frédéric Wang
Han Qi
A. D. Goyeneche
Reinhard Heckel
Michael Lustig
Efrat Shimron
38
5
0
05 Aug 2023
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling
  for Fast MRI?
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
Jiahao Huang
Angelica Aviles-Rivero
Carola-Bibiane Schönlieb
Guang Yang
DiffM
MedIm
28
13
0
25 Jun 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI
  Reconstruction
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction
Liping Zhang
Xiaobo Li
Weitian Chen
39
5
0
20 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of
  Undersampled MRI Reconstruction
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake
Zhehuai Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
38
3
0
01 Jun 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image
  Reconstruction
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
Christoph Angermann
Simon Göppel
Markus Haltmeier
30
2
0
14 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance
  Reconstruction: A Comparison Study
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
Jiahao Huang
Pedro F. Ferreira
Lichao Wang
Yinzhe Wu
Angelica I. Aviles-Rivero
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
S. Nielles-Vallespin
Guang Yang
DiffM
23
8
0
31 Mar 2023
AliasNet: Alias Artefact Suppression Network for Accelerated
  Phase-Encode MRI
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI
M. B. Lorenzana
Shekhar S. Chandra
Feng Liu
28
1
0
17 Feb 2023
Spatiotemporal implicit neural representation for unsupervised dynamic
  MRI reconstruction
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Jie Feng
Rui-jun Feng
Qing Wu
Zhiyong Zhang
Yuyao Zhang
Hongjiang Wei
30
22
0
31 Dec 2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR
  Imaging
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
Wenqi Huang
Hongwei Bran Li
Jia Pan
G. Cruz
Daniel Rueckert
Kerstin Hammernik
23
29
0
16 Dec 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic
  Resonance
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
C. Qin
Daniel Rueckert
32
3
0
21 Sep 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
47
17
0
15 Aug 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space
  Sampling Pattern for Accelerated MRI Reconstruction
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction
Mevan Ekanayake
Kamlesh Pawar
Mehrtash Harandi
Gary Egan
Zhaolin Chen
ViT
MedIm
32
7
0
18 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
38
184
0
12 Jul 2022
A deep cascade of ensemble of dual domain networks with gradient-based
  T1 assistance and perceptual refinement for fast MRI reconstruction
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction
Balamurali Murugesan
Sriprabha Ramanarayanan
S. Vijayarangan
Keerthi Ram
N. Jagannathan
M. Sivaprakasam
18
9
0
05 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
Federated Learning of Generative Image Priors for MRI Reconstruction
Federated Learning of Generative Image Priors for MRI Reconstruction
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
26
89
0
08 Feb 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
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural
  Network for MR Image Reconstruction using Dynamic Weight Prediction
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
37
8
0
09 Nov 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
Robust partial Fourier reconstruction for diffusion-weighted imaging
  using a recurrent convolutional neural network
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
Fasil Gadjimuradov
Thomas Benkert
M. Nickel
Andreas Maier
OOD
25
11
0
19 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial
  Transformers
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz
S. Dar
Mahmut Yurt
Muzaffer Özbey
Tolga Çukur
ViT
MedIm
29
191
0
15 May 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of
  Data-Driven and Subject-Driven Priors
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
S. Dar
Mahmut Yurt
Tolga Çukur
25
4
0
13 Mar 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI
  Reconstruction
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
Zaccharie Ramzi
Jean-Luc Starck
P. Ciuciu
42
18
0
05 Jan 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse
  Problems
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
Zaccharie Ramzi
B. Remy
F. Lanusse
Jean-Luc Starck
P. Ciuciu
UQCV
MedIm
36
14
0
16 Nov 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy search
Tim Bakker
H. V. Hoof
Max Welling
27
56
0
30 Oct 2020
Enhanced MRI Reconstruction Network using Neural Architecture Search
Enhanced MRI Reconstruction Network using Neural Architecture Search
Qiaoying Huang
Dong Yang
Yikun Xian
Pengxiang Wu
Jingru Yi
Hui Qu
Dimitris N. Metaxas
26
9
0
19 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image
  Reconstruction
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
Cong Quan
Jinjie Zhou
Yuanzheng Zhu
Yang Chen
Shanshan Wang
Dong Liang
Qiegen Liu
DiffM
MedIm
27
26
0
14 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without
  Fully-sampled Training Data
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data
Alan Q. Wang
Adrian Dalca
M. Sabuncu
31
26
0
29 Jul 2020
Regularization of Inverse Problems by Neural Networks
Regularization of Inverse Problems by Neural Networks
Markus Haltmeier
Linh V. Nguyen
33
18
0
06 Jun 2020
BlackBox: Generalizable Reconstruction of Extremal Values from
  Incomplete Spatio-Temporal Data
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data
T. Ivek
Domagoj Vlah
48
4
0
30 Apr 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti
Sahar Yousefi
M. Elmahdy
J. V. Gemert
C. Schulke
...
Sergey Kastryulin
B. Lelieveldt
M. Osch
E. Weerdt
Marius Staring
27
97
0
15 Apr 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj
Y. Bresler
Bo-wen Li
OOD
AAML
29
50
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
MedIm
3DV
24
93
0
26 Feb 2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks
  for MR Image Reconstruction
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
27
42
0
08 Jan 2020
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil
  MRI Reconstruction
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
Anuroop Sriram
Jure Zbontar
Tullie Murrell
C. L. Zitnick
Aaron Defazio
D. Sodickson
27
105
0
27 Oct 2019
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR
  Image Reconstruction
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
Siyuan Wang
Junjie Lv
Yuanyuan Hu
Dong Liang
Minghui Zhang
Qiegen Liu
MedIm
25
15
0
03 Sep 2019
Towards multi-sequence MR image recovery from undersampled k-space data
Towards multi-sequence MR image recovery from undersampled k-space data
Cheng-Fang Peng
Wei-An Lin
Rama Chellappa
S. Kevin Zhou
24
8
0
15 Aug 2019
Multi-Scale Learned Iterative Reconstruction
Multi-Scale Learned Iterative Reconstruction
A. Hauptmann
J. Adler
Simon Arridge
Ozan Oktem
36
37
0
01 Aug 2019
Deep-learning inversion: a next generation seismic velocity-model
  building method
Deep-learning inversion: a next generation seismic velocity-model building method
Fangshu Yang
Jianwei Ma
39
389
0
17 Feb 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic
  MRI
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI
Thomas Sanchez
Baran Gözcü
R. Heeswijk
Armin Eftekhari
E. Ilıcak
Tolga Çukur
V. Cevher
19
29
0
01 Feb 2019
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion
  Tensor Cardiac MRI
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
Jo Schlemper
Guang Yang
Pedro F. Ferreira
Andrew D. Scott
L. McGill
...
M. Roehl
J. Keegan
D. Pennell
D. Firmin
Daniel Rueckert
MedIm
DiffM
29
54
0
30 May 2018
Synergistic Reconstruction and Synthesis via Generative Adversarial
  Networks for Accelerated Multi-Contrast MRI
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
S. Dar
Mahmut Yurt
M. Shahdloo
M. E. Ildiz
Tolga Çukur
MedIm
17
25
0
27 May 2018
A Deep Information Sharing Network for Multi-contrast Compressed Sensing
  MRI Reconstruction
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
26
106
0
10 Apr 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Zhiwen Fan
Liyan Sun
Xinghao Ding
Yue Huang
C. Cai
John Paisley
MedIm
30
27
0
04 Apr 2018
A Deep Error Correction Network for Compressed Sensing MRI
A Deep Error Correction Network for Compressed Sensing MRI
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
MedIm
39
12
0
23 Mar 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
25
180
0
14 Mar 2018
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