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

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

27 October 2019
Anuroop Sriram
Jure Zbontar
Tullie Murrell
C. L. Zitnick
Aaron Defazio
D. Sodickson
ArXivPDFHTML

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

14 / 14 papers shown
Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference
Haoyang Pei
Ding Xia
Xiang Xu
William Moore
Yao Wang
Hersh Chandarana
Li Feng
34
0
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
26
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
36
1
0
18 Nov 2024
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
29
5
0
20 Jun 2023
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
39
17
0
15 Aug 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
Invertible Sharpening Network for MRI Reconstruction Enhancement
Siyuan Dong
Eric Z. Chen
Lin Zhao
Xiao Chen
Yikang Liu
Terrence Chen
Shanhui Sun
29
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
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio'
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
31
3
0
01 Apr 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
H. Fu
OOD
24
78
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
31
50
0
09 Dec 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
38
14
0
20 Sep 2021
Multi-Modal Transformer for Accelerated MR Imaging
Multi-Modal Transformer for Accelerated MR Imaging
Chun-Mei Feng
Yu-bao Yan
Geng Chen
Yong Xu
Ling Shao
H. Fu
MedIm
ViT
29
104
0
27 Jun 2021
MR-Contrast-Aware Image-to-Image Translations with Generative
  Adversarial Networks
MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
Jonas Denck
J. Guehring
Andreas K. Maier
E. Rothgang
GAN
MedIm
21
26
0
03 Apr 2021
$Σ$-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
Jinming Duan
Ronald M. Summers
Daniel Rueckert
24
24
0
18 Dec 2019
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
100
231
0
03 Mar 2017
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