Neural Proximal Gradient Descent for Compressive Imaging

1 June 2018

Morteza Mardani

Qingyun Sun

Shreyas S. Vasawanala

Papers citing "Neural Proximal Gradient Descent for Compressive Imaging"

22 / 72 papers shown

Title
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 116 51 0 26 Feb 2020
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent Satoshi Takabe Tadashi Wadayama 41 10 0 15 Jan 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 137 297 0 13 Jan 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 87 35 0 05 Jan 2020
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 96 58 0 11 Dec 2019
Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization E. E. Esfahani A. Hosseini 104 6 0 26 Nov 2019
Deep Decomposition Learning for Inverse Imaging Problems Dongdong Chen Mike E. Davies 69 40 0 25 Nov 2019
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction Christopher M. Sandino P. Lai S. Vasanawala Joseph Y. Cheng 109 3 0 13 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 102 666 0 28 Oct 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 118 65 0 15 Oct 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 116 82 0 26 Jul 2019
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions Bahareh Tolooshams Andrew H. Song S. Temereanca Demba E. Ba BDL 60 0 0 07 Jul 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 95 51 0 18 Jun 2019
Degrees of Freedom Analysis of Unrolled Neural Networks Morteza Mardani Qingyun Sun Vardan Papyan S. Vasanawala John M. Pauly D. Donoho UQCV 33 8 0 10 Jun 2019
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning Bahareh Tolooshams Sourav Dey Demba E. Ba 54 4 0 18 Apr 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 73 12 0 19 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 69 610 0 14 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction Vineet Edupuganti Morteza Mardani S. Vasanawala John M. Pauly UQCV 81 95 0 31 Jan 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 78 24 0 13 Jan 2019
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 75 43 0 27 Aug 2018
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu A. Dimakis Sujay Sanghavi Felix X. Yu D. Holtmann-Rice Dmitry Storcheus Afshin Rostamizadeh Sanjiv Kumar SSL 74 53 0 26 Jun 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 139 182 0 17 Jun 2018