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Neural Networks-based Regularization for Large-Scale Medical Image
  Reconstruction

Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction

19 December 2019
A. Kofler
Markus Haltmeier
T. Schaeffter
M. Kachelriess
M. Dewey
Christian Wald
C. Kolbitsch
ArXivPDFHTML

Papers citing "Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction"

10 / 10 papers shown
Title
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
67
183
0
14 Mar 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
132
1,019
0
07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image
  Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
75
500
0
05 Dec 2017
Model based learning for accelerated, limited-view 3D photoacoustic
  tomography
Model based learning for accelerated, limited-view 3D photoacoustic tomography
A. Hauptmann
F. Lucka
M. Betcke
N. Huynh
J. Adler
B. Cox
P. Beard
Sebastien Ourselin
Simon Arridge
MedIm
41
291
0
31 Aug 2017
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
62
519
0
28 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
Mannudeep K. Kalra
Ge Wang
GAN
MedIm
61
1,201
0
03 Aug 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
57
751
0
20 Jul 2017
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
91
1,533
0
28 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
67
1,541
0
03 Apr 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
68
2,118
0
11 Nov 2016
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