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Deep Convolutional Neural Network for Inverse Problems in Imaging

Deep Convolutional Neural Network for Inverse Problems in Imaging

11 November 2016
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
ArXivPDFHTML

Papers citing "Deep Convolutional Neural Network for Inverse Problems in Imaging"

12 / 12 papers shown
Title
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
Yoseob Han
Dufan Wu
Kyungsang Kim
Quanzheng Li
65
11
0
10 Jan 2025
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
92
1
0
18 Nov 2024
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Liam Moroy
Guillaume Bourmaud
Frédéric Champagnat
Jean-François Giovannelli
DiffM
MedIm
78
0
0
21 Oct 2024
Imaging foundation model for universal enhancement of non-ideal measurement CT
Imaging foundation model for universal enhancement of non-ideal measurement CT
Yuxin Liu
Rongjun Ge
Yuting He
Zhan Wu
Chenyu You
Yuan Gao
Chenyu You
Ge Wang
Yang Chen
Shuo Li
MedIm
66
2
0
02 Oct 2024
Learning Regularization for Graph Inverse Problems
Learning Regularization for Graph Inverse Problems
Moshe Eliasof
Md Shahriar Rahim Siddiqui
Carola-Bibiane Schönlieb
Eldad Haber
GNN
141
0
0
19 Aug 2024
A study of why we need to reassess full reference image quality assessment with medical images
A study of why we need to reassess full reference image quality assessment with medical images
Anna Breger
A. Biguri
Malena Sabaté Landman
Ian Selby
Nicole Amberg
...
Lipeng Ning
Sören Dittmer
Michael Roberts
AIX-COVNET Collaboration
Carola-Bibiane Schönlieb
53
6
0
29 May 2024
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud
Jiaming Liu
Valentin De Bortoli
Andrés Almansa
Ulugbek S. Kamilov
67
5
0
05 Oct 2023
Computed Tomography Reconstruction Using Deep Image Prior and Learned
  Reconstruction Methods
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
74
188
0
10 Mar 2020
Deep artifact learning for compressed sensing and parallel MRI
Deep artifact learning for compressed sensing and parallel MRI
Dongwook Lee
J. Yoo
J. C. Ye
MedIm
100
38
0
03 Mar 2017
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,179
0
14 Nov 2015
Compression Artifacts Reduction by a Deep Convolutional Network
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong
Yubin Deng
Chen Change Loy
Xiaoou Tang
SupR
46
793
0
27 Apr 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
299
2,946
0
15 Dec 2014
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