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"

50 / 61 papers shown

Title
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration Suraj Singh Anastasia Batsheva Oleg Y. Rogov Ahmed Bouridane 46 0 0 20 Mar 2025
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 76 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 53 0 0 27 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 38 0 0 08 Jan 2025
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 30 3 0 19 Aug 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 40 5 0 03 Jun 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 36 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 28 2 0 18 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 36 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 Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 36 11 0 22 May 2023
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems Jianfeng Ning Fuqun Han Jun Zou 34 11 0 29 Apr 2023
Differentiable Uncalibrated Imaging Sidharth Gupta K. Kothari Valentin Debarnot Ivan Dokmanić MedIm 32 4 0 18 Nov 2022
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu Shirin Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 61 4 0 01 Nov 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 28 6 0 26 Jul 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 26 4 0 10 Jun 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 40 9 0 02 Mar 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 27 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 37 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 32 8 0 02 Nov 2021
Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning Fangshu Yang Jianwei Ma 30 8 0 23 Sep 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu Hongyu An Ulugbek S. Kamilov 26 12 0 12 Jul 2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior Prithvijit Chakrabarty Pascal Mettes Subhransu Maji Cees G. M. Snoek 13 60 0 02 Jul 2021
The Modulo Radon Transform: Theory, Algorithms and Applications Matthias Beckmann Ayush Bhandari Felix Krahmer 19 16 0 10 May 2021
Two-layer neural networks with values in a Banach space Yury Korolev 34 23 0 05 May 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks B. Afkham Julianne Chung Matthias Chung 17 43 0 14 Apr 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li Babak Shahbaba UQCV BDL 30 16 0 11 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 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 24 1 0 23 Nov 2020
Deep Image Reconstruction using Unregistered Measurements without Groundtruth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu Hongyu An Ulugbek S. Kamilov 3DV 17 12 0 29 Sep 2020
TorchRadon: Fast Differentiable Routines for Computed Tomography Matteo Ronchetti OOD MedIm 23 63 0 29 Sep 2020
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging Fangshu Yang Thanh-an Michel Pham N. Brandenberg Matthias Lütolf Jianwei Ma M. Unser 15 35 0 24 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging Dimitris Perdios Manuel Vonlanthen Florian Martinez M. Arditi Jean-Philippe Thiran 19 54 0 28 Aug 2020
Learning Variational Data Assimilation Models and Solvers Ronan Fablet Bertrand Chapron Lucas Drumetz É. Mémin O. Pannekoucke F. Rousseau 19 67 0 25 Jul 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 16 13 0 11 Jun 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 35 74 0 05 Jun 2020
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
On the interplay between physical and content priors in deep learning for computational imaging Mo Deng Shuai Li Iksung Kang N. Fang George Barbastathis 39 26 0 14 Apr 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 29 12 0 06 Apr 2020
Inverse Problems, Deep Learning, and Symmetry Breaking Kshitij Tayal Chieh-Hsin Lai Vipin Kumar Ju Sun AI4CE 72 15 0 20 Mar 2020
Warwick Electron Microscopy Datasets Jeffrey M. Ede 30 14 0 02 Mar 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 24 93 0 26 Feb 2020
Adaptive Direction-Guided Structure Tensor Total Variation Ezgi Demircan-Tureyen Mustafa E. Kamasak 9 3 0 16 Jan 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 35 815 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 19 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 30 92 0 11 Nov 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 24 34 0 21 Oct 2019
Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning Q. Gao Shaowu Pan Hongping Wang R. Wei Jinjun Wang 3DV 8 30 0 16 Sep 2019