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CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging

CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging

28 August 2020
Dimitris Perdios
Manuel Vonlanthen
Florian Martinez
M. Arditi
Jean-Philippe Thiran
ArXivPDFHTML

Papers citing "CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging"

13 / 13 papers shown
Title
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement
  Tracking
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking
Dimitris Perdios
Manuel Vonlanthen
Florian Martinez
M. Arditi
Jean-Philippe Thiran
26
26
0
03 Sep 2020
Deep learning in ultrasound imaging
Deep learning in ultrasound imaging
Ruud J. G. van Sloun
Regev Cohen
Yonina C. Eldar
76
229
0
05 Jul 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
Tieniu Tan
Jian Sun
SupR
70
405
0
03 Mar 2019
Channel Splitting Network for Single MR Image Super-Resolution
Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao
Yulun Zhang
Zhang Tao
Xueming Zou
SupR
61
137
0
15 Oct 2018
Towards CT-quality Ultrasound Imaging using Deep Learning
Towards CT-quality Ultrasound Imaging using Deep Learning
S. Vedula
Ortal Senouf
A. Bronstein
O. Michailovich
M. Zibulevsky
MedIm
49
43
0
17 Oct 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
593
0
11 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
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
173
5,904
0
10 Jul 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
A Perspective on Deep Imaging
A Perspective on Deep Imaging
Ge Wang
OOD
44
393
0
10 Sep 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
77,133
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
18,613
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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