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Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning

Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning

24 February 2025
H. Eichhorn
Veronika Spieker
Kerstin Hammernik
Elisa Saks
Lina Felsner
K. Weiss
C. Preibisch
Julia A. Schnabel
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Papers citing "Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning"

4 / 4 papers shown
Title
Deep Learning for Retrospective Motion Correction in MRI: A
  Comprehensive Review
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
Veronika Spieker
H. Eichhorn
Kerstin Hammernik
Daniel Rueckert
C. Preibisch
D. Karampinos
Julia A. Schnabel
MedIm
40
34
0
11 May 2023
Predicting dynamic, motion-related changes in B0 field in the brain at a
  7 T MRI using a subject-specific fine-tuned U-net
Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Stanislav Motyka
Paul Weiser
Beáta Bachratá
L. Hingerl
Bernhard Strasser
...
M. Zaitsev
S. Robinson
Georg Langs
S. Trattnig
W. Bogner
MedIm
51
2
0
17 Apr 2023
Data Consistent Deep Rigid MRI Motion Correction
Data Consistent Deep Rigid MRI Motion Correction
Nalini Singh
Neel Dey
Malte Hoffmann
Bruce Fischl
E. Adalsteinsson
R. Frost
Adrian Dalca
Polina Golland
MedIm
44
21
0
25 Jan 2023
Deep Learning Based Detection and Correction of Cardiac MR Motion
  Artefacts During Reconstruction for High-Quality Segmentation
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
I. Oksuz
J. Clough
B. Ruijsink
Esther Puyol-Antón
A. Bustin
G. Cruz
Claudia Prieto
A. King
Julia A. Schnabel
3DV
MedIm
85
60
0
11 Oct 2019
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