Stable Deep MRI Reconstruction using Generative Priors

25 October 2022

Papers citing "Stable Deep MRI Reconstruction using Generative Priors"

32 / 32 papers shown

Title
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk Thomas Pock 84 0 0 03 Feb 2025
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 88 15 0 13 Mar 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 100 93 0 23 Apr 2023
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 89 810 0 29 Sep 2022
Computed Tomography Reconstruction using Generative Energy-Based Priors Martin Zach Erich Kobler Thomas Pock DiffM MedIm 29 12 0 23 Mar 2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction Zongjiang Tu Chenbo Jiang Yu Guan Shanshan Wang Jijun Liu Qiegen Liu Dong Liang MedIm 57 16 0 21 Mar 2022
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models Guanxiong Luo Moritz Blumenthal Martin Heide M. Uecker DiffM MedIm 42 70 0 03 Feb 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 74 518 0 15 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 72 413 0 08 Oct 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 43 14 0 07 Sep 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 73 335 0 03 Aug 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 49 66 0 09 Apr 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 80 140 0 02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 270 6,293 0 26 Nov 2020
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients Juntang Zhuang Tommy M. Tang Yifan Ding S. Tatikonda Nicha Dvornek X. Papademetris James S. Duncan ODL 85 507 0 15 Oct 2020
Deep variational network for rapid 4D flow MRI reconstruction V. Vishnevskiy Jonas Walheim Sebastian Kozerke 36 68 0 20 Apr 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 43 314 0 14 Apr 2020
Total Deep Variation for Linear Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock 50 89 0 14 Jan 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 117 154 0 11 Jan 2020
Invert to Learn to Invert P. Putzky Max Welling 42 75 0 25 Nov 2019
Model Learning: Primal Dual Networks for Fast MR imaging Jing Cheng Haifeng Wang L. Ying Dong Liang MedIm 44 67 0 07 Aug 2019
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation Valentin De Bortoli Alain Durmus Marcelo Pereyra A. F. Vidal 43 33 0 28 Jun 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 42 154 0 29 Mar 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 45 601 0 14 Feb 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 42 836 0 21 Nov 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 234 1,873 0 28 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 110 3,128 0 29 Nov 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 79 1,525 0 28 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 48 1,535 0 03 Apr 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 96 804 0 09 Mar 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 51 176 0 22 Dec 2016
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 46 1,187 0 12 Aug 2015