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Neumann Networks for Inverse Problems in Imaging

13 January 2019

Papers citing "Neumann Networks for Inverse Problems in Imaging"

38 / 38 papers shown

Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 127 0 0 08 Jan 2025
Off-the-grid model based deep learning (O-MODL) Aniket Pramanik H. Aggarwal M. Jacob 56 10 0 27 Dec 2018
MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI H. Aggarwal M. Mani M. Jacob MedIm 46 43 0 19 Dec 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 437 5,157 0 19 Jun 2018
Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani Qingyun Sun Shreyas S. Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly D. Donoho 69 155 0 01 Jun 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 64 70 0 20 Feb 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 258 1,898 0 28 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 145 1,022 0 07 Dec 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 112 366 0 06 Sep 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 70 753 0 20 Jul 2017
Unrolled Optimization with Deep Priors Steven Diamond Vincent Sitzmann Felix Heide Gordon Wetzstein 43 186 0 22 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 65 286 0 21 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 66 356 0 11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 152 1,847 0 11 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 63 348 0 29 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 155 812 0 09 Mar 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) Hu Chen Yi Zhang Mannudeep K. Kalra Feng Lin Yang Chen Peixi Liao Jiliu Zhou Ge Wang MedIm 113 1,312 0 01 Feb 2017
Understanding Deep Neural Networks with Rectified Linear Units R. Arora A. Basu Poorya Mianjy Anirbit Mukherjee PINN 164 643 0 04 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 429 2,945 0 15 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,712 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 165 941 0 24 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,297 0 25 Apr 2016
Learning optimal nonlinearities for iterative thresholding algorithms Ulugbek S. Kamilov Hassan Mansour 56 109 0 15 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 112 6,198 0 14 Nov 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 54 1,190 0 12 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 164 8,091 0 31 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
Adaptive pointwise estimation of conditional density function Karine Bertin C. Lacour Vincent Rivoirard 98 39 0 28 Dec 2013
Learning Efficient Structured Sparse Models A. Bronstein Pablo Sprechmann Guillermo Sapiro 83 42 0 18 Jun 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 213 584 0 12 Sep 2011
Robust Recovery of Subspace Structures by Low-Rank Representation Guangcan Liu Zhouchen Lin Shuicheng Yan Ju Sun Yong Yu Yi-An Ma 129 3,226 0 14 Oct 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 110 610 0 15 Jun 2010
Conditional density estimation in a regression setting S. Efromovich 110 65 0 20 Mar 2008