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-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
18 December 2019
Kerstin Hammernik
Jo Schlemper
C. Qin
Jinming Duan
Ronald M. Summers
Daniel Rueckert
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Papers citing
"$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction"
7 / 7 papers shown
Title
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction
Zalan Fabian
Berk Tinaz
Mahdi Soltanolkotabi
25
50
0
15 Mar 2022
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
Dominik Narnhofer
Alexander Effland
Erich Kobler
Kerstin Hammernik
Florian Knoll
T. Pock
UQCV
BDL
17
49
0
12 Feb 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
Matthew Muckley
Bruno Riemenschneider
A. Radmanesh
Sunwoo Kim
Geunu Jeong
...
Anuroop Sriram
Zhengnan Huang
N. Yakubova
Yvonne W. Lui
Florian Knoll
OOD
16
45
0
09 Dec 2020
Model Adaptation for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
OOD
MedIm
14
48
0
30 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
24
101
0
09 Nov 2020
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
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,175
0
16 Sep 2016
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