Deep Learning Techniques for Inverse Problems in Imaging

12 May 2020

Greg Ongie

A. Jalal

Christopher A. Metzler

Richard G. Baraniuk

A. Dimakis

Rebecca Willett

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Papers citing "Deep Learning Techniques for Inverse Problems in Imaging"

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Title
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 39 70 0 20 Feb 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 52 95 0 12 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 60 78 0 05 Feb 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 108 1,013 0 07 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 110 3,128 0 29 Nov 2017
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks Orest Kupyn Volodymyr Budzan Mykola Mykhailych Dmytro Mishkin Jirí Matas 3DV 59 1,457 0 19 Nov 2017
A Review of Convolutional Neural Networks for Inverse Problems in Imaging Michael T. McCann Kyong Hwan Jin M. Unser 3DV 58 590 0 11 Oct 2017
Convolutional neural networks that teach microscopes how to image R. Horstmeyer Richard Y. Chen Barbara Kappes B. Judkewitz 94 59 0 21 Sep 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 104 364 0 06 Sep 2017
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss Tran Minh Quan Thanh Nguyen-Duc W. Jeong GAN MedIm 78 540 0 03 Sep 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 55 750 0 20 Jul 2017
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks Ali Mousavi Gautam Dasarathy Richard G. Baraniuk 100 80 0 11 Jul 2017
Inference in Deep Networks in High Dimensions A. Fletcher S. Rangan BDL 98 69 0 20 Jun 2017
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI Morteza Mardani Enhao Gong Joseph Y. Cheng S. Vasanawala Greg Zaharchuk ... Neil Thakur Song Han W. Dally John M. Pauly Lei Xing MedIm GAN 40 156 0 31 May 2017
Unrolled Optimization with Deep Priors Steven Diamond Vincent Sitzmann Felix Heide Gordon Wetzstein 43 186 0 22 May 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 88 138 0 22 May 2017
Deep Learning Microscopy Y. Rivenson Z. Gorocs H. Gunaydin Yibo Zhang Hongda Wang Aydogan Ozcan MedIm 40 385 0 12 May 2017
Phase recovery and holographic image reconstruction using deep learning in neural networks Y. Rivenson Yibo Zhang H. Gunaydin Da Teng Aydogan Ozcan 35 819 0 10 May 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 79 1,525 0 28 Apr 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 48 285 0 21 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 61 357 0 11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 128 1,841 0 11 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 48 1,535 0 03 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 46 347 0 29 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 98 804 0 09 Mar 2017
Lensless computational imaging through deep learning Ayan Sinha Justin Lee Shuai Li George Barbastathis 41 520 0 22 Feb 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks Ali Mousavi Richard G. Baraniuk 106 286 0 14 Jan 2017
Fast Fourier Color Constancy Jonathan T. Barron Yun-Ta Tsai 30 180 0 23 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 45 2,116 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 65 795 0 09 Nov 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 76 435 0 14 Oct 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 106 2,875 0 13 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 121 6,962 0 13 Aug 2016
Learning Sensor Multiplexing Design through Back-propagation Ayan Chakrabarti SSL 55 126 0 23 May 2016
A Deep Learning Approach to Structured Signal Recovery Ali Mousavi Ankit B. Patel Richard G. Baraniuk 42 441 0 17 Aug 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 46 1,187 0 12 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 114 8,048 0 31 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 970 149,474 0 22 Dec 2014
Adaptive pointwise estimation of conditional density function Karine Bertin C. Lacour Vincent Rivoirard 86 39 0 28 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 376 16,962 0 20 Dec 2013
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 95 608 0 15 Jun 2010
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 100 2,352 0 21 Jul 2009
Generalized SURE for Exponential Families: Applications to Regularization Yonina C. Eldar 73 272 0 14 Apr 2008
Conditional density estimation in a regression setting S. Efromovich 85 64 0 20 Mar 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 346 2,527 0 07 Jan 2008