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 | 766* | 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 | 438 | 2022 |
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 | 231* | 2018 |
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 | 218* | 2021 |
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 | 212 | 2015 |
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 | 164 | 2012 |
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 | 155 | 2020 |
Pseudoinverse-guided diffusion models for inverse problems J Song, A Vahdat, M Mardani, J Kautz International Conference on Learning Representations, 2023 | 125 | 2023 |
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 | 111 | 2013 |
Big Data M Mardani, G Mateos, GB Giannakis Cooperative and Graph Signal Processing, 777-797, 2018 | 105* | 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 | 100 | 2020 |
Decentralized sparsity-regularized rank minimization: Algorithms and applications M Mardani, G Mateos, GB Giannakis IEEE Transactions on Signal Processing 61 (21), 5374-5388, 2013 | 95* | 2013 |
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 | 90 | 2023 |
Estimating traffic and anomaly maps via network tomography M Mardani, GB Giannakis IEEE/ACM transactions on networking 24 (3), 1533-1547, 2015 | 70 | 2015 |
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 | 64 | 2020 |
Robust network traffic estimation via sparsity and low rank M Mardani, GB Giannakis 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 47 | 2013 |
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 | 41 | 2018 |
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 | 37 | 2022 |
A variational perspective on solving inverse problems with diffusion models M Mardani, J Song, J Kautz, A Vahdat arXiv preprint arXiv:2305.04391, 2023 | 36 | 2023 |