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End-to-End Variational Networks for Accelerated MRI Reconstruction

End-to-End Variational Networks for Accelerated MRI Reconstruction

14 April 2020
Anuroop Sriram
Jure Zbontar
Tullie Murrell
Aaron Defazio
C. L. Zitnick
N. Yakubova
Florian Knoll
Patricia M. Johnson
    DRL
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Papers citing "End-to-End Variational Networks for Accelerated MRI Reconstruction"

18 / 18 papers shown
Title
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
Taoran Zheng
Xing Li
Yan Yang
Xiang Gu
Zongben Xu
Jian Sun
MedIm
42
0
0
23 May 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
85
0
0
17 Feb 2025
A Trust-Guided Approach to MR Image Reconstruction with Side Information
A Trust-Guided Approach to MR Image Reconstruction with Side Information
Arda Atalık
S. Chopra
D. Sodickson
78
0
0
06 Jan 2025
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
George Yiasemis
Jan-Jakob Sonke
Jonas Teuwen
98
0
0
27 Nov 2024
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
Xingjian Tang
Jingwei Guan
Linge Li
Youmei Zhang
Mengye Lyu
Li Yan
Li Yan
MedIm
DiffM
76
0
0
05 Nov 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
53
7
0
06 Oct 2024
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors
Shoujin Huang
Guanxiong Luo
Yuwan Wang
Kexin Yang
Lingyan Zhang
...
Hua Guo
Min Wang
Mengye Lyu
Lingyan Zhang
Mengye Lyu
MedIm
67
1
0
31 Jul 2024
A study of why we need to reassess full reference image quality assessment with medical images
A study of why we need to reassess full reference image quality assessment with medical images
Anna Breger
A. Biguri
Malena Sabaté Landman
Ian Selby
Nicole Amberg
...
Lipeng Ning
Sören Dittmer
Michael Roberts
AIX-COVNET Collaboration
Carola-Bibiane Schönlieb
53
6
0
29 May 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
George Yiasemis
Jan-Jakob Sonke
Jonas Teuwen
45
2
0
15 Mar 2024
Invert to Learn to Invert
Invert to Learn to Invert
P. Putzky
Max Welling
42
75
0
25 Nov 2019
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
113
105
0
27 Oct 2019
i-RIM applied to the fastMRI challenge
i-RIM applied to the fastMRI challenge
P. Putzky
D. Karkalousos
Jonas Teuwen
Nikita Miriakov
Bart Bakker
M. Caan
Max Welling
33
39
0
20 Oct 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural
  Networks
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks
Dong Liang
Jing Cheng
Ziwen Ke
L. Ying
36
56
0
26 Jul 2019
Deep Learning Methods for Parallel Magnetic Resonance Image
  Reconstruction
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll
Kerstin Hammernik
Chi Zhang
S. Moeller
Thomas Pock
D. Sodickson
Mehmet Akçakaya
OOD
55
264
0
01 Apr 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar
Florian Knoll
Anuroop Sriram
Tullie Murrell
Zhengnan Huang
...
Erich Owens
C. L. Zitnick
M. Recht
D. Sodickson
Yvonne W. Lui
OOD
36
836
0
21 Nov 2018
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
63
1,126
0
08 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
43
1,535
0
03 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
1