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1805.12064
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Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
30 May 2018
Jo Schlemper
Guang Yang
Pedro F. Ferreira
Andrew D. Scott
L. McGill
Z. Khalique
M. Gorodezky
M. Roehl
J. Keegan
D. Pennell
D. Firmin
Daniel Rueckert
MedIm
DiffM
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Papers citing
"Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI"
6 / 6 papers shown
Title
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio'
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
31
3
0
01 Apr 2022
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Guang Yang
Jun Lv
Yutong Chen
Jiahao Huang
Jin Zhu
MedIm
24
9
0
04 May 2021
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
OOD
MedIm
19
69
0
29 Aug 2020
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-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Kerstin Hammernik
Jo Schlemper
C. Qin
Jinming Duan
Ronald M. Summers
Daniel Rueckert
14
24
0
18 Dec 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field
Yicheng Chen
A. Jakary
Sivakami Avadiappan
Christopher P. Hess
J. Lupo
MedIm
13
60
0
08 May 2019
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
95
231
0
03 Mar 2017
1