CNN-Based Projected Gradient Descent for Consistent Image Reconstruction

6 September 2017

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

28 / 28 papers shown

Title
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 27 3 0 16 Oct 2023
Differentiable Forward Projector for X-ray Computed Tomography Hyojin Kim Kyle Champley MedIm 21 11 0 11 Jul 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 28 2 0 14 Apr 2023
To be or not to be stable, that is the question: understanding neural networks for inverse problems David Evangelista J. Nagy E. Morotti E. L. Piccolomini 28 4 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 13 26 0 22 Nov 2022
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator Shurui Li Hangbo Yang C. Wong V. Sorger Puneet Gupta 12 12 0 10 Nov 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 20 4 0 29 Sep 2022
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction Qiaoqiao Ding Hui Ji Yuhui Quan Xiaoqun Zhang OOD 8 5 0 01 May 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data Anish Lahiri M. Klasky Jeffrey A. Fessler S. Ravishankar 15 24 0 23 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 Jan 2022
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images Ruiwen Xing T. Humphries D. Si GAN MedIm 26 1 0 23 Dec 2021
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images Wei-Chih Huang M. Peters M. J. Ahlebaek Mads T. Frandsen R. Eriksen B. Jørgensen 19 14 0 30 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 16 0 0 21 Aug 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 38 225 0 23 Mar 2021
A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis Shaosheng Xu Jinde Cao Yichao Cao Tong Wang ODL 21 2 0 12 Jan 2021
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging Marija Vella João F. C. Mota 16 4 0 29 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 47 69 0 26 Oct 2020
Weight and Gradient Centralization in Deep Neural Networks Wolfgang Fuhl Enkelejda Kasneci ODL 13 18 0 02 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 519 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 15 80 0 12 May 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 16 184 0 03 Apr 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 26 186 0 10 Mar 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 28 997 0 22 Dec 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 17 21 0 01 Nov 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 33 61 0 24 Sep 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 19 81 0 26 Jul 2019
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR Yoseob Han J. Yoo J. C. Ye MedIm OOD 100 231 0 03 Mar 2017