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i-RIM applied to the fastMRI challenge

i-RIM applied to the fastMRI challenge

20 October 2019
P. Putzky
D. Karkalousos
Jonas Teuwen
Nikita Miriakov
Bart Bakker
M. Caan
Max Welling
ArXivPDFHTML

Papers citing "i-RIM applied to the fastMRI challenge"

10 / 10 papers shown
Title
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
42
5
0
20 Jun 2023
Model-corrected learned primal-dual models for fast limited-view
  photoacoustic tomography
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
A. Hauptmann
Jenni Poimala
MedIm
38
5
0
04 Apr 2023
HUMUS-Net: Hybrid unrolled multi-scale network architecture for
  accelerated MRI reconstruction
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction
Zalan Fabian
Berk Tinaz
Mahdi Soltanolkotabi
43
51
0
15 Mar 2022
Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI
  reconstruction
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos
S. Noteboom
H. Hulst
F. Vos
M. Caan
OOD
AI4CE
25
10
0
30 Nov 2021
Bayesian Uncertainty Estimation of Learned Variational MRI
  Reconstruction
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
Dominik Narnhofer
Alexander Effland
Erich Kobler
Kerstin Hammernik
Florian Knoll
Thomas Pock
UQCV
BDL
23
49
0
12 Feb 2021
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
21
45
0
09 Dec 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Francesco Calivá
Kaiyang Cheng
Rutwik Shah
V. Pedoia
OOD
AAML
MedIm
30
10
0
30 Oct 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy search
Tim Bakker
H. V. Hoof
Max Welling
29
56
0
30 Oct 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti
Sahar Yousefi
Mohamed S. Elmahdy
J. V. Gemert
C. Schulke
...
Sergey Kastryulin
B. Lelieveldt
M. Osch
E. Weerdt
Marius Staring
27
97
0
15 Apr 2020
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
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
...
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
32
209
0
06 Jan 2020
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