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1709.01809
Cited By

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction

6 September 2017

Michael T. McCann

ArXiv (abs)PDF HTML

Papers citing "CNN-Based Projected Gradient Descent for Consistent Image Reconstruction"

7 / 107 papers shown

Empirically Accelerating Scaled Gradient Projection Using Deep Neural
Network For Inverse Problems In Image Processing

Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network For Inverse Problems In Image Processing

94

1

0

07 Feb 2019

Neumann Networks for Inverse Problems in Imaging

Neumann Networks for Inverse Problems in Imaging

Rebecca Willett

177

25

0

13 Jan 2019

Computationally Efficient Deep Neural Network for Computed Tomography
Image Reconstruction

Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction

178

48

0

05 Oct 2018

Task adapted reconstruction for inverse problems

Task adapted reconstruction for inverse problems

Olivier Verdier

Carola-Bibiane Schönlieb

160

48

0

27 Aug 2018

Small Sample Learning in Big Data Era

Small Sample Learning in Big Data Era

344

77

0

14 Aug 2018

Training deep learning based image denoisers from undersampled
measurements without ground truth and without image prior

Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior

Magauiya Zhussip

Shakarim Soltanayev

167

59

0

04 Jun 2018

DeepPET: A deep encoder-decoder network for directly solving the PET
reconstruction inverse problem

DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem

Gabriele Campanella

Thomas J. Fuchs

138

273

0

20 Apr 2018