v1v2 (latest)

Solving ill-posed inverse problems using iterative deep neural networks

13 April 2017

Papers citing "Solving ill-posed inverse problems using iterative deep neural networks"

50 / 212 papers shown

Title
Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task Tomás Völker Guillaume Boisson B. Chupeau 3DV 21 5 0 12 Feb 2020
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI A. Kofler M. Dewey T. Schaeffter C. Kolbitsch Markus Haltmeier 39 0 0 10 Feb 2020
Deep synthesis regularization of inverse problems D. Obmann Johannes Schwab Markus Haltmeier 113 12 0 01 Feb 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 86 33 0 05 Jan 2020
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems Maarten V. de Hoop Matti Lassas C. Wong 78 26 0 23 Dec 2019
Learned SVD: solving inverse problems via hybrid autoencoding Y. Boink Christoph Brune 29 13 0 20 Dec 2019
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter M. Kachelriess M. Dewey Christian Wald C. Kolbitsch 45 1 0 19 Dec 2019
NeuRoRA: Neural Robust Rotation Averaging Pulak Purkait Tat-Jun Chin Ian Reid 56 54 0 10 Dec 2019
Solving Bayesian Inverse Problems via Variational Autoencoders Hwan Goh Sheroze Sheriffdeen J. Wittmer T. Bui-Thanh BDL 137 39 0 05 Dec 2019
Solving Inverse Wave Scattering with Deep Learning Yuwei Fan Lexing Ying 69 28 0 27 Nov 2019
Invert to Learn to Invert P. Putzky Max Welling 68 76 0 25 Nov 2019
Solving Traveltime Tomography with Deep Learning Yuwei Fan Lexing Ying 85 15 0 25 Nov 2019
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 52 93 0 11 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 65 21 0 01 Nov 2019
Solving Optical Tomography with Deep Learning Yuwei Fan Lexing Ying 59 17 0 10 Oct 2019
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps William H. Guss Ruslan Salakhutdinov 51 14 0 03 Oct 2019
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods Johannes Leuschner Maximilian Schmidt Daniel Otero Baguer Peter Maass 79 32 0 01 Oct 2019
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 68 29 0 24 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 67 61 0 24 Sep 2019
Deep kernel learning for integral measurements Carl Jidling J. Hendriks Thomas B. Schon A. Wills 62 7 0 04 Sep 2019
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation Ozan Oktem Camille Pouchol Olivier Verdier MedIm 44 9 0 26 Aug 2019
Semi-supervised Sequence Modeling for Elastic Impedance Inversion M. Alfarraj G. Al-Regib 36 83 0 19 Aug 2019
Augmented NETT Regularization of Inverse Problems D. Obmann Linh V. Nguyen Johannes Schwab Markus Haltmeier 27 3 0 08 Aug 2019
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression David K. E. Green F. Rindler 23 2 0 06 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 108 37 0 01 Aug 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 66 19 0 22 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 82 108 0 03 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 125 128 0 23 Jun 2019
DeepView: View Synthesis with Learned Gradient Descent John Flynn M. Broxton P. Debevec Matthew DuVall Graham Fyffe Ryan S. Overbeck Noah Snavely Richard Tucker 89 448 0 18 Jun 2019
What do AI algorithms actually learn? - On false structures in deep learning L. Thesing Vegard Antun A. Hansen 38 21 0 04 Jun 2019
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction Hongjiang Wei Steven Cao Yuyao Zhang Xiaojun Guan Fuhua Yan K. Yeom Chunlei Liu 58 50 0 15 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 64 13 0 14 May 2019
Approximation spaces of deep neural networks Rémi Gribonval Gitta Kutyniok M. Nielsen Felix Voigtländer 109 125 0 03 May 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 70 17 0 05 Apr 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 67 75 0 01 Apr 2019
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems Ankit Raj Yuqi Li Y. Bresler 39 6 0 26 Feb 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors N. Benjamin Erichson L. Mathelin Z. Yao Steven L. Brunton Michael W. Mahoney J. Nathan Kutz AI4CE 61 34 0 20 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 69 607 0 14 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 121 871 0 18 Jan 2019
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach Y. Bao Zhiyi Tang Hui Li 46 86 0 07 Jan 2019
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data Haimiao Zhang Bin Dong Baodong Liu MedIm 54 22 0 03 Dec 2018
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 67 64 0 30 Nov 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 68 18 0 29 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 164 136 0 12 Nov 2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo R. Clark Michael Bloesch J. Czarnowski Stefan Leutenegger Andrew J. Davison 69 80 0 09 Sep 2018
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 72 43 0 27 Aug 2018
Inverse Problems in Asteroseismology E. Bellinger 21 3 0 20 Aug 2018
Highly Accelerated Multishot EPI through Synergistic Machine Learning and Joint Reconstruction B. Bilgiç I. Chatnuntawech M. Manhard Q. Tian C. Liao S. Cauley S. Huang J. Polimeni L. Wald Kawin Setsompop 16 1 0 08 Aug 2018
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging V. Vishnevskiy S. Sanabria O. Goksel 53 30 0 19 Jul 2018
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction A. Hauptmann B. Cox F. Lucka N. Huynh M. Betcke P. Beard Simon Arridge 36 42 0 09 Jul 2018