Recurrent Inference Machines for Solving Inverse Problems

13 June 2017

Papers citing "Recurrent Inference Machines for Solving Inverse Problems"

50 / 63 papers shown

Title
ReQuestNet: A Foundational Learning model for Channel Estimation Kumar Pratik Pouriya Sadeghi Gabriele Cesa Sanaz Barghi Joseph B. Soriaga Yuanning Yu Supratik Bhattacharjee Arash Behboodi 204 1 0 12 Aug 2025
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy PredictionComputer Vision and Pattern Recognition (CVPR), 2025 Dubing Chen Huan Zheng Jin Fang Xingping Dong Xianfei Li Wenlong Liao Tao He Pai Peng Jianbing Shen 495 2 0 17 Apr 2025
Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates? Luca Trautmann Peter Wijeratne Itamar Ronen Ivor Simpson 193 0 0 13 Mar 2025
Recurrent Inference Machine for Medical Image Registration Yi Zhang Yidong Zhao H. Xue Peter Kellman Stefan Klein Qian Tao OOD 177 1 0 19 Jun 2024
An inversion problem for optical spectrum data via physics-guided machine learningScientific Reports (Sci Rep), 2024 Hwiwoo Park Jun H. Park Jungseek Hwang 163 1 0 03 Apr 2024
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction Yidong Zhao Yi Zhang Qian Tao 191 1 0 01 Mar 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 189 1 0 19 Feb 2024
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration J. Fu Qi Xie Deyu Meng Zongben Xu 172 18 0 25 Dec 2023
Learned Interferometric Imaging for the SPIDER InstrumentRAS Techniques and Instruments (RTI), 2023 Matthijs Mars M. Betcke Jason D. McEwen 106 4 0 24 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI ReconstructionMagnetic Resonance Imaging (MRI), 2023 George Yiasemis Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 288 23 0 20 Jan 2023
Near-Exact Recovery for Tomographic Inverse Problems via Deep LearningInternational Conference on Machine Learning (ICML), 2022 Martin Genzel Ingo Gühring Jan Macdonald M. März 142 29 0 14 Jun 2022
Equilibrium Aggregation: Encoding Sets via OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2022 Sergey Bartunov F. Fuchs Timothy Lillicrap 191 9 0 25 Feb 2022
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 246 12 0 30 Nov 2021
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction George Yiasemis Jan-Jakob Sonke C. Sánchez Jonas Teuwen 236 67 0 18 Nov 2021
Conditional Variational Autoencoder for Learned Image ReconstructionDe Computis (DC), 2021 Chen Zhang Riccardo Barbano Bangti Jin DRL 164 27 0 22 Oct 2021
Deep MRI Reconstruction with Radial Subsampling George Yiasemis Chaoping Zhang C. Sánchez Jan-Jakob Sonke Jonas Teuwen 250 9 0 17 Aug 2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery Rongkai Zhang Jiang Zhu Zhiyuan Zha Justin Dauwels Bihan Wen 136 7 0 12 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 162 12 0 06 Jul 2021
Fixed points of nonnegative neural networksJournal of machine learning research (JMLR), 2021 Tomasz Piotrowski Renato L. G. Cavalcante Mateusz Gabor 388 8 0 30 Jun 2021
Recurrent Inference Machines as inverse problem solvers for MR relaxometry E. Sabidussi S. Klein M. Caan S. Bazrafkan A. J. D. Dekker Jan Sijbers W. Niessen D. H. Poot 91 14 0 08 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry Martin Genzel Jan Macdonald M. März 174 5 0 01 Jun 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural networkMagnetic Resonance in Medicine (MRM), 2021 Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 144 13 0 19 May 2021
Feasibility-based Fixed Point NetworksFixed Point Theory and Algorithms for Sciences and Engineering (PTASE), 2021 Howard Heaton Samy Wu Fung A. Gibali W. Yin 147 31 0 29 Apr 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse ProblemsIEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2021 William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 109 43 0 28 Mar 2021
Foreground color prediction through inverse compositingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Sebastian Lutz A. Smolic GAN 62 2 0 24 Mar 2021
Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021 Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zinan Lin W. Yin 494 292 0 23 Mar 2021
Equivariant neural networks for inverse problemsInverse Problems (IP), 2021 E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 152 36 0 23 Feb 2021
Recurrent Localization Networks applied to the Lippmann-Schwinger EquationComputational materials science (Comput. Mater. Sci.), 2021 Conlain Kelly S. Kalidindi AI4CE 196 9 0 29 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image ReconstructionPhysica medica (Testo stampato) (Phys Med), 2020 Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 172 52 0 09 Dec 2020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew Muckley Bruno Riemenschneider A. Radmanesh Sunwoo Kim Geunu Jeong ... Anuroop Sriram Zhengnan Huang N. Yakubova Yvonne W. Lui Florian Knoll OOD 169 47 0 09 Dec 2020
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasoundJournal of Computational Physics (JCP), 2020 A. Stanziola Simon Arridge B. Cox B. Treeby 159 40 0 29 Oct 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directionsJournal of Biomedical Optics (JBO), 2020 A. Hauptmann B. Cox 187 140 0 16 Sep 2020
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and ParadigmsSignal Processing (Signal Process.), 2020 Yanna Bai Wei Chen Jie Chen Weisi Guo 172 76 0 27 Jul 2020
RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection Kumar Pratik Bhaskar D. Rao Max Welling 239 60 0 30 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 197 32 0 09 Jun 2020
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography A. Peace MedIm 76 0 0 21 Mar 2020
Neural Enhanced Belief Propagation on Factor GraphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Victor Garcia Satorras Max Welling 415 106 0 04 Mar 2020
The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition M. Ruby David S. Bolme Joel Brogan David Cornett Baldemar Delgado Gavin Jager Christi Johnson Jose Martinez-Mendoza H. Santos-Villalobos Nisha Srinivas CVBM 123 7 0 27 Feb 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problemsSIAM Review (SIAM Rev.), 2020 N. Gottschling Vegard Antun A. Hansen Ben Adcock 357 49 0 05 Jan 2020
Deep learning architectures for nonlinear operator functions and nonlinear inverse problemsMathematical Statistics and Learning (MSL), 2019 Maarten V. de Hoop Matti Lassas C. Wong 239 31 0 23 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshopIEEE Transactions on Computational Imaging (TCI), 2019 Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 145 62 0 11 Dec 2019
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems F. Lanusse Peter Melchior Fred Moolekamp BDL 154 13 0 09 Dec 2019
Invert to Learn to InvertNeural Information Processing Systems (NeurIPS), 2019 P. Putzky Max Welling 118 78 0 25 Nov 2019
The frontier of simulation-based inferenceProceedings of the National Academy of Sciences of the United States of America (PNAS), 2019 Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 536 1,026 0 04 Nov 2019
Uncertainty Quantification with Generative Models Vanessa Böhm F. Lanusse U. Seljak 128 29 0 22 Oct 2019
i-RIM applied to the fastMRI challenge P. Putzky D. Karkalousos Jonas Teuwen Nikita Miriakov Bart Bakker M. Caan Max Welling 164 41 0 20 Oct 2019
Meta-Learning Deep Energy-Based Memory ModelsInternational Conference on Learning Representations (ICLR), 2019 Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 298 35 0 07 Oct 2019
Multi-Scale Learned Iterative ReconstructionIEEE Transactions on Computational Imaging (TCI), 2019 A. Hauptmann J. Adler Simon Arridge Ozan Oktem 176 40 0 01 Aug 2019
Degrees of Freedom Analysis of Unrolled Neural Networks Morteza Mardani Qingyun Sun Vardan Papyan S. Vasanawala John M. Pauly D. Donoho UQCV 110 9 0 10 Jun 2019
Combining Generative and Discriminative Models for Hybrid InferenceNeural Information Processing Systems (NeurIPS), 2019 Victor Garcia Satorras Zeynep Akata Max Welling 163 65 0 06 Jun 2019