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Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction
25 October 2018
Angelica I. Aviles-Rivero
Noémie Debroux
Guy B. Williams
M. Graves
C. Schoenlieb
MedIm
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Papers citing
"Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction"
7 / 7 papers shown
Title
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models
Frederic Wang
Jonathan I. Tamir
DiffM
MedIm
71
0
0
21 May 2025
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
77
985
0
14 Feb 2019
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
82
500
0
05 Dec 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
85
1,131
0
08 Apr 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
75
1,542
0
03 Apr 2017
A Variational Model for Joint Motion Estimation and Image Reconstruction
Martin Burger
H. Dirks
Carola-Bibiane Schönlieb
33
60
0
12 Jul 2016
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI
S. Lingala
E. D. Bella
M. Jacob
48
83
0
29 May 2014
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