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Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion
  Tensor Cardiac MRI

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"

10 / 10 papers shown
Title
Review of data types and model dimensionality for cardiac DTI
  SMS-related artefact removal
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal
Michael Tanzer
Sea Hee Yook
Guang Yang
Daniel Rueckert
S. Nielles-Vallespin
MedIm
21
2
0
20 Sep 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
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
39
3
0
01 Apr 2022
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance
  Imaging -- Mini Review, Comparison and Perspectives
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
26
9
0
04 May 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and
  Image-to-Image Translation
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation
Itzik Malkiel
Sangtae Ahn
V. Taviani
A. Menini
Lior Wolf
C. Hardy
MedIm
13
0
0
05 Apr 2021
Unpaired Deep Learning for Accelerated MRI using Optimal Transport
  Driven CycleGAN
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
OOD
MedIm
30
69
0
29 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without
  Matched Training Data
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
Hyungjin Chung
Eunju Cha
Leonard Sunwoo
J. C. Ye
MedIm
28
26
0
04 Aug 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti
Sahar Yousefi
M. Elmahdy
J. V. Gemert
C. Schulke
...
Sergey Kastryulin
B. Lelieveldt
M. Osch
E. Weerdt
Marius Staring
22
97
0
15 Apr 2020
$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks
  for Fast Parallel MR Image Reconstruction
ΣΣΣ-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
30
24
0
18 Dec 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative
  Adversarial Networks with Increased Receptive Field
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
21
60
0
08 May 2019
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
106
231
0
03 Mar 2017
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