A Review of Convolutional Neural Networks for Inverse Problems in
Imaging

A Review of Convolutional Neural Networks for Inverse Problems in Imaging

11 October 2017

Michael T. McCann

Papers citing "A Review of Convolutional Neural Networks for Inverse Problems in Imaging"

11 / 61 papers shown

Title
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts Mo Deng Shuai Li A. Goy Iksung Kang George Barbastathis 19 69 0 26 Jul 2019
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer Sungjun Lim Sang-Eun Lee Sunghoe Chang J. C. Ye 9 9 0 05 Apr 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 27 107 0 11 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 22 1,609 0 25 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography T. Bubba Gitta Kutyniok Matti Lassas M. März Wojciech Samek S. Siltanen Vignesh Srinivasan 24 136 0 12 Nov 2018
Deep Back Projection for Sparse-View CT Reconstruction Dong Hye Ye G. Buzzard M. Ruby Charles A. Bouman MedIm 27 30 0 06 Jul 2018
Neuro-memristive Circuits for Edge Computing: A review O. Krestinskaya A. P. James L. Chua 37 201 0 01 Jul 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 29 15 0 29 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 39 362 0 06 Sep 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014