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2011.09414
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Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR
18 November 2020
Burhaneddin Yaman
C. Shenoy
Zilin Deng
S. Moeller
Hossam El-Rewaidy
R. Nezafat
Mehmet Akçakaya
MedIm
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Papers citing
"Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR"
7 / 7 papers shown
Title
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
OOD
MedIm
54
70
0
29 Aug 2020
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
63
38
0
13 Aug 2020
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
Michael R. Kellman
Jonathan I. Tamir
E. Bostan
Michael Lustig
Laura Waller
SupR
53
57
0
11 Dec 2019
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data
Burhaneddin Yaman
S. A. Hosseini
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
OOD
106
81
0
21 Oct 2019
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee
Jaejun Yoo
S. Tak
J. C. Ye
OOD
48
297
0
02 Apr 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
108
1,013
0
07 Dec 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
43
1,535
0
03 Apr 2017
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