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1709.01809
Cited By
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
6 September 2017
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
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Papers citing
"CNN-Based Projected Gradient Descent for Consistent Image Reconstruction"
50 / 107 papers shown
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images
Displays (Guildford) (DG), 2021
Wei-Chih Huang
M. Peters
M. J. Ahlebaek
Mads T. Frandsen
R. Eriksen
B. Jørgensen
92
16
0
30 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers
Abinash Nayak
131
0
0
21 Aug 2021
Deep Algorithm Unrolling for Biomedical Imaging
Yuelong Li
Or Bar-Shira
V. Monga
Yonina C. Eldar
SyDa
106
14
0
15 Aug 2021
SNIPS: Solving Noisy Inverse Problems Stochastically
Neural Information Processing Systems (NeurIPS), 2021
Bahjat Kawar
Gregory Vaksman
Michael Elad
321
229
0
31 May 2021
Learning to Optimize: A Primer and A Benchmark
Journal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
580
299
0
23 Mar 2021
Fast and High-Quality Blind Multi-Spectral Image Pansharpening
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Lantao Yu
Dehong Liu
Hassan Mansour
P. Boufounos
221
22
0
17 Mar 2021
Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks
Engineering applications of artificial intelligence (EAAI), 2021
Christoph Angermann
Markus Haltmeier
Christian Laubichler
Steinbjörn Jónsson
Matthias Schwab
Adéla Moravová
C. Kiesling
M. Kober
W. Fimml
220
11
0
15 Mar 2021
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Ce Wang
Haimiao Zhang
Qian Li
Kun Shang
Y. Lyu
Bin Dong
S. Kevin Zhou
303
16
0
09 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
Mario González
Andrés Almansa
Pauline Tan
318
36
0
02 Mar 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2021
Jiaming Liu
Yu Sun
Weijie Gan
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
FedML
MedIm
274
36
0
22 Jan 2021
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
VISIGRAPP (VISIGRAPP), 2021
J. Dhaliwal
Kyle Hambrook
204
0
0
13 Jan 2021
A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis
Shaosheng Xu
Jinde Cao
Yichao Cao
Tong Wang
ODL
134
2
0
12 Jan 2021
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Yi Zhang
Hu Chen
Wenjun Xia
Yang Chen
Baodong Liu
Yan Liu
Huaiqiang Sun
Jiliu Zhou
146
47
0
13 Dec 2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Marija Vella
João F. C. Mota
231
4
0
29 Nov 2020
Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without Fully-Sampled Ground Truths
Mahmut Yurt
S. Dar
Muzaffer Özbey
Berk Tınaz
Kader Karli Ouguz
Tolga cCukur
MedIm
328
8
0
29 Nov 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
Journal of machine learning research (JMLR), 2020
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
271
37
0
18 Nov 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
J. Hertrich
Sebastian Neumayer
Gabriele Steidl
235
70
0
04 Nov 2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
Wenqi Huang
Ziwen Ke
Zhuoxu Cui
Jing Cheng
Zhilang Qiu
Sen Jia
Leslie Ying
Yanjie Zhu
Dong Liang
369
89
0
26 Oct 2020
Weight and Gradient Centralization in Deep Neural Networks
International Conference on Artificial Neural Networks (ICANN), 2020
Wolfgang Fuhl
Enkelejda Kasneci
ODL
234
20
0
02 Oct 2020
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
IEEE Transactions on Image Processing (TIP), 2020
Fangshu Yang
Thanh-an Michel Pham
N. Brandenberg
Matthias Lütolf
Jianwei Ma
M. Unser
174
41
0
24 Sep 2020
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
Bo Zhou
S. Kevin Zhou
James S. Duncan
Chi Liu
219
8
0
03 Sep 2020
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
IEEE Transactions on Computational Imaging (TCI), 2020
Student Member Ieee Muhammad Usman Ghani
F. I. W. Clem Karl
193
19
0
31 Aug 2020
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (IEEE TUFFC), 2020
Dimitris Perdios
Manuel Vonlanthen
Florian Martinez
M. Arditi
Jean-Philippe Thiran
156
70
0
28 Aug 2020
A model-guided deep network for limited-angle computed tomography
Wei Wang
X. Xia
Chuanjiang He
Zemin Ren
Jian Lu
Tianfu Wang
Baiying Lei
3DV
MedIm
113
0
0
10 Aug 2020
Supervised Learning of Sparsity-Promoting Regularizers for Denoising
Michael T. McCann
S. Ravishankar
144
8
0
09 Jun 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
IEEE Transactions on Medical Imaging (TMI), 2020
Haimiao Zhang
Baodong Liu
Hengyong Yu
Bin Dong
302
70
0
30 May 2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Siqi Li
Guobao Wang
OOD
175
11
0
14 May 2020
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
361
608
0
12 May 2020
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19
Sampa Misra
Seungwan Jeon
Seiyon Lee
R. Managuli
Chulhong Kim
147
81
0
12 May 2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
Yifan Zhang
Shuaicheng Niu
Zhen Qiu
Ying Wei
P. Zhao
Jianhua Yao
Junzhou Huang
Qingyao Wu
Zhuliang Yu
OOD
166
73
0
30 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
European Conference on Computer Vision (ECCV), 2020
Hongwei Yong
Jianqiang Huang
Xiansheng Hua
Lei Zhang
ODL
288
216
0
03 Apr 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Inverse Problems (IP), 2020
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
274
203
0
10 Mar 2020
Deep Learning for Biomedical Image Reconstruction: A Survey
Artificial Intelligence Review (AI Review), 2020
Hanene Ben Yedder
Ben Cardoen
Ghassan Hamarneh
MedIm
3DV
193
107
0
26 Feb 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
IEEE Transactions on Signal Processing (TSP), 2020
Shayan Aziznejad
Harshit Gupta
Joaquim Campos
M. Unser
174
45
0
17 Jan 2020
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
Y. Lyu
Wei-An Lin
Haofu Liao
Jingjing Lu
S. Kevin Zhou
MedIm
202
12
0
02 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
IEEE Signal Processing Magazine (IEEE SPM), 2019
V. Monga
Yuelong Li
Yonina C. Eldar
429
1,229
0
22 Dec 2019
Deep Decomposition Learning for Inverse Imaging Problems
European Conference on Computer Vision (ECCV), 2019
Dongdong Chen
Mike E. Davies
315
46
0
25 Nov 2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
Mario González
Andrés Almansa
M. Delbracio
Pablo Musé
Pauline Tan
139
8
0
14 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys
Astronomy & Astrophysics (A&A), 2019
F. Sureau
Alexis Lechat
Jean-Luc Starck
3DPC
356
28
0
01 Nov 2019
Extreme Few-view CT Reconstruction using Deep Inference
Hyojin Kim
Rushil Anirudh
K. A. Mohan
Kyle Champley
64
12
0
11 Oct 2019
Time-Dependent Deep Image Prior for Dynamic MRI
IEEE Transactions on Medical Imaging (TMI), 2019
Mikhail O. Chekanov
Kyong Hwan Jin
Harshit Gupta
Jerome Yerly
M. Stuber
M. Unser
MedIm
265
183
0
03 Oct 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
IEEE Transactions on Computational Imaging (TCI), 2019
Yiling Liu
Qiegen Liu
Minghui Zhang
Qingxin Yang
Shanshan Wang
Dong Liang
140
65
0
24 Sep 2019
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium
Muhammad Usman Ghani
W. C. Karl
MedIm
132
14
0
31 Aug 2019
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo
Hengrong Lan
Daohuai Jiang
Changchun Yang
Fei Gao
86
19
0
02 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
346
88
0
26 Jul 2019
Improved low-count quantitative PET reconstruction with an iterative neural network
Hongki Lim
Il Yong Chun
Y. Dewaraja
Jeffrey A. Fessler
186
7
0
05 Jun 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
433
272
0
04 Apr 2019
Deep Network for Capacitive ECG Denoising
Vignesh Ravichandran
Balamurali Murugesan
Sharath M. Shankaranarayana
Keerthi Ram
P. PreejithS.
J. Joseph
M. Sivaprakasam
83
13
0
29 Mar 2019
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems
Ankit Raj
Yuqi Li
Y. Bresler
168
6
0
26 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
243
665
0
14 Feb 2019
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