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Computationally Efficient Deep Neural Network for Computed Tomography
  Image Reconstruction

Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction

5 October 2018
Dufan Wu
Kyungsang Kim
Quanzheng Li
ArXivPDFHTML

Papers citing "Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction"

19 / 19 papers shown
Title
Iterative PET Image Reconstruction Using Convolutional Neural Network
  Representation
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong
Jiahui Guan
Kyungsang Kim
Xuezhu Zhang
Xiaofeng Liu
J. Qi
Quanzheng Li
MedIm
43
222
0
09 Oct 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
107
366
0
06 Sep 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
69
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
752
0
20 Jul 2017
Convolutional Dictionary Learning: Acceleration and Convergence
Convolutional Dictionary Learning: Acceleration and Convergence
Il Yong Chun
Jeffrey A. Fessler
81
94
0
03 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
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
77
1,131
0
08 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
70
1,541
0
03 Apr 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
109
1,310
0
01 Feb 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
71
2,118
0
11 Nov 2016
A deep convolutional neural network using directional wavelets for
  low-dose X-ray CT reconstruction
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
Eunhee Kang
Junhong Min
J. C. Ye
OOD
MedIm
70
765
0
31 Oct 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
6,995
0
13 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
433
18,361
0
27 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,151
0
14 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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