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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
ArXiv (abs)PDFHTML

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

23 / 23 papers shown
Title
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their
  Applications in Supervising Image Reconstruction
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
Ziqi Gao
Wendi Yang
Yujia Li
Lei Xing
S. Kevin Zhou
62
0
0
31 Oct 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic
  Resonance Imaging Reconstruction
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
T. Han
S. Nebelung
Firas Khader
Jakob Nikolas Kather
Daniel Truhn
MedImDiffM
62
1
0
23 Jun 2024
Recurrent Inference Machine for Medical Image Registration
Recurrent Inference Machine for Medical Image Registration
Yi Zhang
Yidong Zhao
Hui Xue
Peter Kellman
Stefan Klein
Qian Tao
OOD
75
0
0
19 Jun 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for
  Undersampled MRI Reconstruction with Uncertainty Estimation
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled
Moti Freiman
UQCV
64
3
0
06 Apr 2024
MRPD: Undersampled MRI reconstruction by prompting a large latent
  diffusion model
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
Student Member Ieee Ziqi Gao
F. I. S. Kevin Zhou
MedIm
66
3
0
16 Feb 2024
vSHARP: variable Splitting Half-quadratic ADMM algorithm for
  Reconstruction of inverse-Problems
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems
George Yiasemis
N. Moriakov
Jan-Jakob Sonke
Jonas Teuwen
69
10
0
18 Sep 2023
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
67
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
74
5
0
04 Apr 2023
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging
Rafael Orozco
M. Louboutin
Felix J. Herrmann
24
3
0
24 Apr 2022
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
76
53
0
15 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Xiaohan Liu
Yanwei Pang
Ruiqi Jin
Yu Liu
Zhenchang Wang
65
31
0
11 Mar 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
Pengfei Guo
Yiqun Mei
Jinyuan Zhou
Shanshan Jiang
Vishal M. Patel
ViTMedIm
150
70
0
23 Jan 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
OODAI4CE
67
11
0
30 Nov 2021
Deep MRI Reconstruction with Radial Subsampling
Deep MRI Reconstruction with Radial Subsampling
George Yiasemis
Chaoping Zhang
C. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
119
9
0
17 Aug 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
UQCVBDL
77
51
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
71
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
OODAAMLMedIm
86
11
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
61
59
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
70
100
0
15 Apr 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction
End-to-End Variational Networks for Accelerated MRI Reconstruction
Anuroop Sriram
Jure Zbontar
Tullie Murrell
Aaron Defazio
C. L. Zitnick
N. Yakubova
Florian Knoll
Patricia M. Johnson
DRL
94
318
0
14 Apr 2020
Learning to Predict Error for MRI Reconstruction
Learning to Predict Error for MRI Reconstruction
Shi Hu
Nicola Pezzotti
Max Welling
UQCV
75
14
0
13 Feb 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
150
214
0
06 Jan 2020
Invert to Learn to Invert
Invert to Learn to Invert
P. Putzky
Max Welling
71
76
0
25 Nov 2019
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