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Convex Regularization Behind Neural Reconstruction

Dec 09, 2020
Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John Pauly

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Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images

Sep 30, 2020
Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala

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Wasserstein GANs for MR Imaging: from Paired to Unpaired Training

Oct 15, 2019
Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala

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Degrees of Freedom Analysis of Unrolled Neural Networks

Jun 10, 2019
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John Pauly, David Donoho

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Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Mar 19, 2019
Joseph Y. Cheng, Feiyu Chen, Christopher Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

* Submitted to the Special Issue on Computational MRI: Compressed Sensing and Beyond in the IEEE Signal Processing Magazine 

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VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis

Jan 31, 2019
Vineet Edupuganti, Morteza Mardani, Joseph Cheng, Shreyas Vasanawala, John Pauly

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Neural Proximal Gradient Descent for Compressive Imaging

Jun 01, 2018
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John Pauly, David Donoho

* arXiv admin note: text overlap with arXiv:1711.10046 

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Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery

Nov 27, 2017
Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David Donoho, John Pauly

* 11 pages, 11 figures 

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Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

May 31, 2017
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus Alley, Neil Thakur, Song Han, William Dally, John M. Pauly, Lei Xing

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Online Categorical Subspace Learning for Sketching Big Data with Misses

Sep 27, 2016
Yanning Shen, Morteza Mardani, Georgios B. Giannakis

* 13 pages 

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Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging

Sep 14, 2016
Morteza Mardani, Georgios B. Giannakis, Kamil Ugurbil

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Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors

Apr 17, 2014
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

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Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies

Apr 30, 2012
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

* 38 pages, submitted to the IEEE Transactions on Information Theory 

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In-network Sparsity-regularized Rank Minimization: Algorithms and Applications

Mar 07, 2012
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

* 30 pages, submitted for publication on the IEEE Trans. Signal Process 

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