Morteza Mardani
Title
Cited by
Cited by
Year
Deep generative adversarial neural networks for compressive sensing MRI
M Mardani, E Gong, JY Cheng, SS Vasanawala, G Zaharchuk, L Xing, ...
IEEE transactions on medical imaging 38 (1), 167-179, 2018
332*2018
Subspace learning and imputation for streaming big data matrices and tensors
M Mardani, G Mateos, GB Giannakis
IEEE Transactions on Signal Processing 63 (10), 2663-2677, 2015
1402015
Dynamic anomalography: Tracking network anomalies via sparsity and low rank
M Mardani, G Mateos, GB Giannakis
IEEE Journal of Selected Topics in Signal Processing 7 (1), 50-66, 2012
1262012
Neural proximal gradient descent for compressive imaging
M Mardani, Q Sun, V Papyan, H Monajemi, S Vasanawala, J Pauly, ...
Advances in Neural Information Processing Systems, 9573-9583, 2018
115*2018
Recovery of low-rank plus compressed sparse matrices with application to unveiling traffic anomalies
M Mardani, G Mateos, GB Giannakis
IEEE Transactions on Information Theory 59 (8), 5186-5205, 2013
942013
Decentralized sparsity-regularized rank minimization: Algorithms and applications
M Mardani, G Mateos, GB Giannakis
IEEE Transactions on Signal Processing 61 (21), 5374-5388, 2013
74*2013
Link-adaptive and QoS-provisioning cooperative ARQ—applications to relay-assisted land mobile satellite communications
M Mardani, JS Harsini, F Lahouti, B Eliasi
IEEE Transactions on Vehicular Technology 60 (7), 3192-3206, 2011
68*2011
Estimating traffic and anomaly maps via network tomography
M Mardani, GB Giannakis
IEEE/ACM transactions on networking 24 (3), 1533-1547, 2015
452015
Big Data
M Mardani, G Mateos, GB Giannakis
Cooperative and Graph Signal Processing, 777-797, 2018
32*2018
Robust network traffic estimation via sparsity and low rank
M Mardani, GB Giannakis
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
322013
From 7 model-driven to knowledge-and data-based treatment planning
M Mardani, Y Yang, Y Ye, S Boyd, L Xing
Big Data in Radiation Oncology, 97, 2019
23*2019
Compressed sensing: From research to clinical practice with deep neural networks: Shortening scan times for magnetic resonance imaging
CM Sandino, JY Cheng, F Chen, M Mardani, JM Pauly, SS Vasanawala
IEEE signal processing magazine 37 (1), 117-127, 2020
22*2020
Cross-layer design of wireless multihop random access networks
M Mardani, SJ Kim, GB Giannakis
IEEE transactions on signal processing 60 (5), 2562-2574, 2012
202012
Online categorical subspace learning for sketching big data with misses
Y Shen, M Mardani, GB Giannakis
IEEE Transactions on Signal Processing 65 (15), 4004-4018, 2017
19*2017
Rank minimization for subspace tracking from incomplete data
M Mardani, G Mateos, GB Giannakis
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
192013
DeepSPIRiT: generalized parallel imaging using deep convolutional neural networks
JY Cheng, M Mardani, MT Alley, JM Pauly, SS Vasanawala
Annual Meeting of the International Society of Magnetic Resonance in Medicine, 2018
182018
Unveiling anomalies in large-scale networks via sparsity and low rank
M Mardani, G Mateos, GB Giannakis
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals …, 2011
162011
Uncertainty quantification in deep mri reconstruction
V Edupuganti, M Mardani, S Vasanawala, J Pauly
IEEE Transactions on Medical Imaging 40 (1), 239-250, 2020
9*2020
Tracking tensor subspaces with informative random sampling for real-time MR imaging
M Mardani, GB Giannakis, K Ugurbil
arXiv preprint arXiv:1609.04104, 2016
82016
Distributed nuclear norm minimization for matrix completion
M Mardani, G Mateos, GB Giannakis
2012 IEEE 13th International Workshop on Signal Processing Advances in …, 2012
62012
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Articles 1–20