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2502.17209
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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
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
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
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
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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