A Review of Convolutional Neural Networks for Inverse Problems in Imaging

11 October 2017

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

42 / 42 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 74 5 0 21 Feb 2025
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems Girnar Goyal Philipp Holl Sweta Agrawal Nils Thuerey AI4CE 45 0 0 27 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 23 3 0 19 Aug 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 30 5 0 03 Jun 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 28 1 0 01 Jan 2024
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation Alexander Bastounis Felipe Cucker Anders C. Hansen 20 2 0 18 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 48 5 0 05 Oct 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 18 11 0 22 May 2023
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems Jianfeng Ning Fuqun Han Jun Zou 26 11 0 29 Apr 2023
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu S. Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 51 4 0 01 Nov 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 24 6 0 26 Jul 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 14 4 0 10 Jun 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 25 9 0 02 Mar 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 25 2 0 20 Feb 2022
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems Sayantan Bhadra Umberto Villa M. Anastasio MedIm 28 3 0 10 Feb 2022
Image-to-Image MLP-mixer for Image Reconstruction Youssef Mansour Kang Lin Reinhard Heckel SupR 31 15 0 04 Feb 2022
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging Ali Hashemi Yijing Gao Chang Cai Sanjay Ghosh Klaus-Robert Muller S. Nagarajan Stefan Haufe 21 7 0 02 Nov 2021
Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning Fangshu Yang Jianwei Ma 15 8 0 23 Sep 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu H. An Ulugbek S. Kamilov 18 12 0 12 Jul 2021
The Modulo Radon Transform: Theory, Algorithms and Applications Matthias Beckmann Ayush Bhandari Felix Krahmer 14 16 0 10 May 2021
Two-layer neural networks with values in a Banach space Yury Korolev 21 23 0 05 May 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li B. Shahbaba UQCV BDL 19 16 0 11 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 29 2 0 04 Jan 2021
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré 22 1 0 23 Nov 2020
Deep Image Reconstruction using Unregistered Measurements without Groundtruth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu H. An Ulugbek S. Kamilov 3DV 9 12 0 29 Sep 2020
TorchRadon: Fast Differentiable Routines for Computed Tomography Matteo Ronchetti OOD MedIm 20 63 0 29 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 24 79 0 17 Sep 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 9 13 0 11 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
Inverse Problems, Deep Learning, and Symmetry Breaking Kshitij Tayal Chieh-Hsin Lai Vipin Kumar Ju Sun AI4CE 69 15 0 20 Mar 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 33 813 0 31 Dec 2019
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data Huidong Xie Hongming Shan Ge Wang MedIm 16 29 0 13 Nov 2019
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 19 92 0 11 Nov 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 16 34 0 21 Oct 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 16 107 0 11 Dec 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 12 136 0 12 Nov 2018
Neuro-memristive Circuits for Edge Computing: A review O. Krestinskaya A. P. James L. Chua 29 201 0 01 Jul 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 23 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 12 114 0 21 May 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014