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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
817*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
755*2022
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
297*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
248*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
2202015
Pseudoinverse-guided diffusion models for inverse problems
J Song, A Vahdat, M Mardani, J Kautz
International Conference on Learning Representations, 2023
2092023
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
1792020
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
1652012
Uncertainty quantification in deep MRI reconstruction
V Edupuganti, M Mardani, S Vasanawala, J Pauly
IEEE Transactions on Medical Imaging 40 (1), 239-250, 2020
1142020
Big Data
M Mardani, G Mateos, GB Giannakis
Cooperative and Graph Signal Processing, 777-797, 2018
113*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
1132013
Decentralized sparsity-regularized rank minimization: Algorithms and applications
M Mardani, G Mateos, GB Giannakis
IEEE Transactions on Signal Processing 61 (21), 5374-5388, 2013
100*2013
A variational perspective on solving inverse problems with diffusion models
M Mardani, J Song, J Kautz, A Vahdat
arXiv preprint arXiv:2305.04391, 2023
812023
Estimating traffic and anomaly maps via network tomography
M Mardani, GB Giannakis
IEEE/ACM transactions on networking 24 (3), 1533-1547, 2015
732015
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
712020
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
Loss-guided diffusion models for plug-and-play controllable generation
J Song, Q Zhang, H Yin, M Mardani, MY Liu, J Kautz, Y Chen, A Vahdat
International Conference on Machine Learning, 32483-32498, 2023
562023
Robust network traffic estimation via sparsity and low rank
M Mardani, GB Giannakis
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
492013
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
422018
From model-driven to knowledge-and data-based treatment planning
M Mardani, Y Yang, Y Ye, S Boyd, L Xing
Big Data in Radiation Oncology, 97-109, 2019
36*2019
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