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Morteza Mardani
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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
786*2018
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
5102022
Efficient token mixing for transformers via adaptive fourier neural operators
J Guibas, M Mardani, Z Li, A Tao, A Anandkumar, B Catanzaro
International Conference on Learning Representations, 2021
251*2021
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
240*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
2152015
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
1692020
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
1642012
Pseudoinverse-guided diffusion models for inverse problems
J Song, A Vahdat, M Mardani, J Kautz
International Conference on Learning Representations, 2023
1532023
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
1132013
Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators
T Kurth, S Subramanian, P Harrington, J Pathak, M Mardani, D Hall, ...
Proceedings of the platform for advanced scientific computing conference, 1-11, 2023
1122023
Big Data
M Mardani, G Mateos, GB Giannakis
Cooperative and Graph Signal Processing, 777-797, 2018
107*2018
Uncertainty quantification in deep MRI reconstruction
V Edupuganti, M Mardani, S Vasanawala, J Pauly
IEEE Transactions on Medical Imaging 40 (1), 239-250, 2020
1062020
Decentralized sparsity-regularized rank minimization: Algorithms and applications
M Mardani, G Mateos, GB Giannakis
IEEE Transactions on Signal Processing 61 (21), 5374-5388, 2013
97*2013
Estimating traffic and anomaly maps via network tomography
M Mardani, GB Giannakis
IEEE/ACM transactions on networking 24 (3), 1533-1547, 2015
712015
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
Wasserstein GANs for MR imaging: from paired to unpaired training
K Lei, M Mardani, JM Pauly, SS Vasanawala
IEEE transactions on medical imaging 40 (1), 105-115, 2020
662020
A variational perspective on solving inverse problems with diffusion models
M Mardani, J Song, J Kautz, A Vahdat
arXiv preprint arXiv:2305.04391, 2023
522023
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators, arXiv
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
482022
Robust network traffic estimation via sparsity and low rank
M Mardani, GB Giannakis
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
482013
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
412018
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