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Deep Convolutional Framelets: A General Deep Learning Framework for
  Inverse Problems

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

3 July 2017
J. C. Ye
Yoseob Han
Eunju Cha
ArXivPDFHTML

Papers citing "Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems"

6 / 6 papers shown
Title
Multi-level Wavelet Convolutional Neural Networks
Multi-level Wavelet Convolutional Neural Networks
Pengju Liu
Hongzhi Zhang
Wei Lian
W. Zuo
25
199
0
06 Jul 2019
Deep Learning for Accelerated Ultrasound Imaging
Deep Learning for Accelerated Ultrasound Imaging
Y. Yoon
J. C. Ye
24
18
0
27 Oct 2017
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
98
231
0
03 Mar 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
125
602
0
14 Feb 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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