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LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance
  Imaging

LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging

19 July 2021
Thomas Kustner
Jiazhen Pan
H. Qi
G. Cruz
Christopher Gilliam
T. Blu
Bin Yang
S. Gatidis
René M. Botnar
Claudia Prieto
    MedIm
ArXivPDFHTML

Papers citing "LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging"

4 / 4 papers shown
Title
SISMIK for brain MRI: Deep-learning-based motion estimation and
  model-based motion correction in k-space
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space
Oscar Dabrowski
J. Falcone
A. Klauser
J. Songeon
Michel Kocher
B. Chopard
François Lazeyras
S. Courvoisier
MedIm
24
1
0
20 Dec 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for
  Dynamic Imaging
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
Berk Iskender
M. Klasky
Y. Bresler
35
3
0
07 Apr 2023
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion
  Estimation Using Deep CNNs
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs
M. S. Feinler
B. Hahn
MedIm
18
5
0
30 Mar 2023
Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINN
MedIm
AI4CE
37
70
0
23 Mar 2022
1