Learned Primal-dual Reconstruction

20 July 2017

Papers citing "Learned Primal-dual Reconstruction"

25 / 25 papers shown

Title
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 104 5 0 21 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 98 0 0 28 Jan 2025
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis Jan-Jakob Sonke Jonas Teuwen 89 0 0 27 Nov 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 82 0 0 13 Jun 2024
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 50 6 0 29 May 2024
Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator V. Kulvait G. Rose Georg Rose 22 1 0 19 Oct 2021
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 49 187 0 10 Mar 2020
Recurrent Inference Machines for Solving Inverse Problems P. Putzky Max Welling AI4CE 29 127 0 13 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 32 156 0 31 May 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 62 137 0 22 May 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 67 615 0 13 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 51 357 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 34 1,530 0 03 Apr 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 83 1,299 0 01 Feb 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 34 2,110 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 61 794 0 09 Nov 2016
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Eunhee Kang Junhong Min J. C. Ye OOD MedIm 45 763 0 31 Oct 2016
A Perspective on Deep Imaging Ge Wang OOD 28 391 0 10 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 199 8,030 0 13 Aug 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 155 10,202 0 27 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 147 11,135 0 14 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 939 76,547 0 18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 107 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 527 149,474 0 22 Dec 2014