Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for
Iterative Image Recovery

Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery

20 February 2018

Il Yong Chun

Jeffrey A. Fessler

Papers citing "Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery"

11 / 11 papers shown

Title
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 31 12 0 02 Jul 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 38 9 0 02 Mar 2022
Unsupervised PET Reconstruction from a Bayesian Perspective Chenyu Shen Wenjun Xia H. Ye Mingzheng Hou Hu Chen Yan Liu Jiliu Zhou Yi Zhang 36 3 0 29 Oct 2021
Deep Algorithm Unrolling for Biomedical Imaging Yuelong Li Or Bar-Shira V. Monga Yonina C. Eldar SyDa 36 10 0 15 Aug 2021
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 521 0 12 May 2020
Momentum-Net for Low-Dose CT Image Reconstruction Siqi Ye Y. Long Il Yong Chun 6 8 0 27 Feb 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 29 209 0 06 Jan 2020
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 41 64 0 15 Oct 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
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 19 24 0 13 Jan 2019
Convolutional Analysis Operator Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 35 47 0 15 Feb 2018