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Advancing machine learning for MR image reconstruction with an open
  competition: Overview of the 2019 fastMRI challenge

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Magnetic Resonance in Medicine (MRM), 2020
6 January 2020
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
Michael G. Rabbat
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
ArXiv (abs)PDFHTML

Papers citing "Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge"

17 / 67 papers shown
Title
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Zero-Shot Self-Supervised Learning for MRI ReconstructionInternational Conference on Learning Representations (ICLR), 2021
Burhaneddin Yaman
S. A. Hosseini
Mehmet Akçakaya
250
88
0
15 Feb 2021
Bayesian Uncertainty Estimation of Learned Variational MRI
  Reconstruction
Bayesian Uncertainty Estimation of Learned Variational MRI ReconstructionIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Dominik Narnhofer
Alexander Effland
Erich Kobler
Kerstin Hammernik
Florian Knoll
Thomas Pock
UQCVBDL
102
56
0
12 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers
  of deep learning and Smale's 18th problem
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problemProceedings of the National Academy of Sciences of the United States of America (PNAS), 2021
Matthew J. Colbrook
Vegard Antun
A. Hansen
217
145
0
20 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Machine Learning in Magnetic Resonance Imaging: Image ReconstructionPhysica medica (Testo stampato) (Phys Med), 2020
Javier Montalt-Tordera
V. Muthurangu
A. Hauptmann
J. Steeden
AI4CE
152
48
0
09 Dec 2020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image
  Reconstruction
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
129
47
0
09 Dec 2020
Yet it moves: Learning from Generic Motions to Generate IMU data from
  YouTube videos
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
Vitor Fortes Rey
Kamalveer Kaur Garewal
P. Lukowicz
82
6
0
23 Nov 2020
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
149
40
0
10 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAMLOOD
127
122
0
09 Nov 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy searchNeural Information Processing Systems (NeurIPS), 2020
Tim Bakker
H. V. Hoof
Max Welling
168
61
0
30 Oct 2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks
  in Highly Accelerated MRI
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Burhaneddin Yaman
Hongyi Gu
S. A. Hosseini
Omer Burak Demirel
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
OOD
215
2
0
13 Aug 2020
Stabilizing Deep Tomographic Reconstruction
Stabilizing Deep Tomographic Reconstruction
Weiwen Wu
Dianlin Hu
W. Cong
Hongming Shan
Shaoyu Wang
Chuang Niu
Pingkun Yan
Hengyong Yu
V. Vardhanabhuti
Ge Wang
OOD
147
10
0
04 Aug 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific
  Fine-Tuning of Physics-Based Neural Networks
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks
S. A. Hosseini
Burhaneddin Yaman
S. Moeller
Mehmet Akçakaya
93
8
0
12 May 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
An Adaptive Intelligence Algorithm for Undersampled Knee MRI ReconstructionIEEE Access (IEEE Access), 2020
Nicola Pezzotti
Sahar Yousefi
Mohamed S. Elmahdy
J. V. Gemert
C. Schulke
...
Sergey Kastryulin
B. Lelieveldt
M. Osch
E. Weerdt
Marius Staring
117
113
0
15 Apr 2020
MRI Banding Removal via Adversarial Training
MRI Banding Removal via Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2020
Aaron Defazio
Tullie Murrell
M. Recht
MedIm
143
16
0
23 Jan 2020
The troublesome kernel -- On hallucinations, no free lunches and the
  accuracy-stability trade-off in inverse problems
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problemsSIAM Review (SIAM Rev.), 2020
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
229
46
0
05 Jan 2020
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
244
52
0
02 Dec 2019
LANTERN: learn analysis transform network for dynamic magnetic resonance
  imaging with small dataset
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small datasetInverse Problems and Imaging (IPI), 2019
Shanshan Wang
Yanxia Chen
Taohui Xiao
Ziwen Ke
Qiegen Liu
Bingsheng Huang
72
4
0
24 Aug 2019
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