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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

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
ArXivPDFHTML

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

13 / 63 papers shown
Title
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
11
45
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
6
5
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
6
36
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
AAML
OOD
19
101
0
09 Nov 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy search
Tim Bakker
H. V. Hoof
Max Welling
22
55
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
21
35
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
12
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
17
7
0
12 May 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti
Sahar Yousefi
M. Elmahdy
J. V. Gemert
C. Schulke
...
Sergey Kastryulin
B. Lelieveldt
M. Osch
E. Weerdt
Marius Staring
6
97
0
15 Apr 2020
MRI Banding Removal via Adversarial Training
MRI Banding Removal via Adversarial Training
Aaron Defazio
Tullie Murrell
M. Recht
MedIm
8
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 problems
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
24
31
0
05 Jan 2020
Pyramid Convolutional RNN for MRI Image Reconstruction
Pyramid Convolutional RNN for MRI Image Reconstruction
Eric Z. Chen
Puyang Wang
Xiao Chen
Terrence Chen
Shanhui Sun
11
41
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 dataset
Shanshan Wang
Yanxia Chen
Taohui Xiao
Ziwen Ke
Qiegen Liu
Hairong Zheng
15
4
0
24 Aug 2019
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