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GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil
  MRI Reconstruction
v1v2v3v4 (latest)

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

Computer Vision and Pattern Recognition (CVPR), 2019
27 October 2019
Anuroop Sriram
Jure Zbontar
Tullie Murrell
C. L. Zitnick
Aaron Defazio
D. Sodickson
ArXiv (abs)PDFHTML

Papers citing "GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction"

43 / 43 papers shown
Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
Haoyang Pei
Ding Xia
Xiang Xu
William Moore
Yao Wang
Hersh Chandarana
Li Feng
Hersh Chandarana
Li Feng
268
1
0
09 May 2025
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz
Arjun D Desai
Reinhard Heckel
Tolga Çukur
Akshay Chaudhari
B. Hargreaves
249
0
0
04 May 2025
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
368
1
0
18 Nov 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for
  Undersampled MRI Reconstruction with Uncertainty Estimation
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled
Moti Freiman
UQCV
190
5
0
06 Apr 2024
Investigating the use of publicly available natural videos to learn
  Dynamic MR image reconstruction
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction
O. Jaubert
Michele Pascale
Javier Montalt-Tordera
Julius Akesson
Ruta Virsinskaite
Dan Knight
Simon Arridge
J. Steeden
V. Muthurangu
193
1
0
23 Nov 2023
$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic
  Parallel MR Image Reconstruction
kkk-ttt CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
Liping Zhang
Weitian Chen
212
3
0
17 Oct 2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task
  Switching Network for MRI Reconstruction
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction
Sriprabha Ramanarayanan
Mohammad Al Fahim
R. G. S.
Amrit Kumar Jethi
Keerthi Ram
M. Sivaprakasam
204
2
0
09 Aug 2023
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Self-Supervised MRI Reconstruction with Unrolled Diffusion ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Yilmaz Korkmaz
Tolga Çukur
V. Patel
MedImDiffM
189
76
0
29 Jun 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI
  Reconstruction
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI ReconstructionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Liping Zhang
Xiaobo Li
Weitian Chen
277
7
0
20 Jun 2023
Image Reconstruction for Accelerated MR Scan with Faster Fourier
  Convolutional Neural Networks
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks
Xiaohan Liu
Yanwei Pang
Xuebin Sun
Yiming Liu
Yonghong Hou
Zhenchang Wang
Xuelong Li
MedIm
98
5
0
05 Jun 2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Yu-bao Yan
Hong Wang
Yawen Huang
Nanjun He
Lei Zhu
Yuexiang Li
Yong Xu
Yefeng Zheng
OODFedML
217
21
0
05 Jun 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
On Retrospective k-space Subsampling schemes For Deep MRI ReconstructionMagnetic Resonance Imaging (MRI), 2023
George Yiasemis
Clara I. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
360
23
0
20 Jan 2023
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network
  for Multi-contrast MRI
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Dinggang Shen
Terrence Chen
Shanhui Sun
169
6
0
22 Oct 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging
  Reconstruction
One-shot Generative Prior in Hankel-k-space for Parallel Imaging ReconstructionIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hong Peng
Chenbo Jiang
Jing Cheng
Minghui Zhang
Shanshan Wang
Dong Liang
Qiegen Liu
DiffMMedIm
275
22
0
15 Aug 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy
  Collaborative Framework for Undersampled MRI Reconstruction
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI ReconstructionIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Jiangpeng Yan
Chen-Ping Yu
Hanbo Chen
Zhe Xu
Junzhou Huang
Xiu Li
Jianhua Yao
156
1
0
15 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
Invertible Sharpening Network for MRI Reconstruction EnhancementInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Siyuan Dong
Eric Z. Chen
Lin Zhao
Xiao Chen
Yikang Liu
Terrence Chen
Shanhui Sun
176
5
0
06 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
D. C. Marshall
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OODMedIm
151
7
0
01 Apr 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging
Physics-Driven Deep Learning for Computational Magnetic Resonance ImagingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINNMedImAI4CE
320
115
0
23 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRIMagnetic Resonance in Medicine (MRM), 2022
Xiaohan Liu
Yanwei Pang
Ruiqi Jin
Yu Liu
Zhenchang Wang
156
39
0
11 Mar 2022
Towards performant and reliable undersampled MR reconstruction via
  diffusion model sampling
Towards performant and reliable undersampled MR reconstruction via diffusion model samplingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Cheng-Fang Peng
Pengfei Guo
S. Kevin Zhou
Vishal M. Patel
Ramalingam Chellappa
MedImDiffM
176
113
0
08 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided
  Normalisation
Undersampled MRI Reconstruction with Side Information-Guided NormalisationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Xinwen Liu
Jing Wang
Cheng-Fang Peng
Shekhar S. Chandra
Yifan Zhang
S. Kevin Zhou
OOD
182
6
0
07 Mar 2022
PARCEL: Physics-based Unsupervised Contrastive Representation Learning
  for Multi-coil MR Imaging
PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR ImagingIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2022
Shanshan Wang
Shanshan Wang
Cheng Li
J. Zou
Ziyao Zhang
Qiegen Liu
Yan Xi
Bingsheng Huang
SSL
152
24
0
03 Feb 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
336
95
0
09 Dec 2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Zi Wang
Chao Qian
D. Guo
Hongwei Sun
Rushuai Li
Bo Zhao
X. Qu
207
59
0
09 Dec 2021
Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI
  reconstruction
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos
S. Noteboom
H. Hulst
F. Vos
M. Caan
OODAI4CE
290
12
0
30 Nov 2021
Deep multi-modal aggregation network for MR image reconstruction with
  auxiliary modality
Deep multi-modal aggregation network for MR image reconstruction with auxiliary modality
Chun-Mei Feng
Huazhu Fu
Tianfei Zhou
Yong Xu
Ling Shao
David Zhang
217
9
0
15 Oct 2021
An Optimal Control Framework for Joint-channel Parallel MRI
  Reconstruction without Coil Sensitivities
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities
Wanyu Bian
Yunmei Chen
X. Ye
204
16
0
20 Sep 2021
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
317
55
0
17 Sep 2021
Deep MRI Reconstruction with Radial Subsampling
Deep MRI Reconstruction with Radial Subsampling
George Yiasemis
Chaoping Zhang
C. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
294
9
0
17 Aug 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
342
410
0
03 Aug 2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance
  Fingerprinting
Real-Time Mapping of Tissue Properties for Magnetic Resonance FingerprintingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Yilin Liu
Yong Chen
P. Yap
130
5
0
16 Jul 2021
Multi-Modal Transformer for Accelerated MR Imaging
Multi-Modal Transformer for Accelerated MR ImagingIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Chun-Mei Feng
Yu-bao Yan
Geng Chen
Yong Xu
Ling Shao
Huazhu Fu
MedImViT
225
139
0
27 Jun 2021
Transfer Learning Enhanced Generative Adversarial Networks for
  Multi-Channel MRI Reconstruction
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
Jun Lv
Guangyuan Li
Xiangrong Tong
Weibo Chen
Jiahao Huang
Chengyan Wang
Guang Yang
GANDiffMMedIm
115
63
0
17 May 2021
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
Dual-Octave Convolution for Accelerated Parallel MR Image ReconstructionAAAI Conference on Artificial Intelligence (AAAI), 2021
Chun-Mei Feng
Zhanyuan Yang
Geng Chen
Yong Xu
Ling Shao
133
31
0
12 Apr 2021
MR-Contrast-Aware Image-to-Image Translations with Generative
  Adversarial Networks
MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial NetworksInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021
Jonas Denck
J. Guehring
Andreas Maier
E. Rothgang
GANMedIm
123
30
0
03 Apr 2021
Fine-grained MRI Reconstruction using Attentive Selection Generative
  Adversarial Networks
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Qingbin Liu
Mehrdad Yaghoobi
GANMedIm
129
7
0
13 Mar 2021
Universal Undersampled MRI Reconstruction
Universal Undersampled MRI ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Xinwen Liu
Jing Wang
Feng Liu
S.Kevin Zhou
OOD
145
28
0
09 Mar 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating
  Optimization
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating OptimizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Marius Arvinte
S. Vishwanath
Ahmed H. Tewfik
Jonathan I. Tamir
245
41
0
02 Mar 2021
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI
  Reconstruction Models and their Generalizability to Varying Coil
  Configurations
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations
Youssef Beauferris
Jonas Teuwen
D. Karkalousos
N. Moriakov
M. Caan
...
Mike Lasby
N. Nogovitsyn
W. Loos
Richard Frayne
Roberto Souza
OOD
221
45
0
10 Nov 2020
Accelerated MRI with Un-trained Neural Networks
Accelerated MRI with Un-trained Neural Networks
Mohammad Zalbagi Darestani
Reinhard Heckel
225
4
0
06 Jul 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction
End-to-End Variational Networks for Accelerated MRI ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Anuroop Sriram
Jure Zbontar
Tullie Murrell
Aaron Defazio
C. L. Zitnick
N. Yakubova
Florian Knoll
Patricia M. Johnson
DRL
256
367
0
14 Apr 2020
$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks
  for Fast Parallel MR Image Reconstruction
ΣΣΣ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Kerstin Hammernik
Jo Schlemper
C. Qin
Yanfu Zhang
Ronald M. Summers
Daniel Rueckert
148
24
0
18 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction
Pyramid Convolutional RNN for MRI Image ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Eric Z. Chen
Puyang Wang
Xiao Chen
Terrence Chen
Shanhui Sun
508
55
0
02 Dec 2019
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