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Self-Supervised Physics-Guided Deep Learning Reconstruction For
  High-Resolution 3D LGE CMR

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
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
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
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
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
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
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
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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