Articles with public access mandates - Morteza MardaniLearn more
Available somewhere: 9
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
Big Data
M Mardani, G Mateos, GB Giannakis
Cooperative and Graph Signal Processing, 777-797, 2018
Mandates: US National Science Foundation, US Department of Defense
Uncertainty quantification in deep MRI reconstruction
V Edupuganti, M Mardani, S Vasanawala, J Pauly
IEEE Transactions on Medical Imaging 40 (1), 239-250, 2020
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
Unraveling attention via convex duality: Analysis and interpretations of vision transformers
A Sahiner, T Ergen, B Ozturkler, J Pauly, M Mardani, M Pilanci
International Conference on Machine Learning, 19050-19088, 2022
Mandates: US National Science Foundation, US Department of Defense, US National …
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
Mandates: US National Science Foundation
Multi-scale unrolled deep learning framework for accelerated magnetic resonance imaging
U Nakarmi, JY Cheng, EP Rios, M Mardani, JM Pauly, L Ying, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1056-1059, 2020
Mandates: US National Institutes of Health
Learning to sample MRI via variational information maximization
C Alkan, M Mardani, S Vasanawala, JM Pauly
NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020
Mandates: US National Institutes of Health
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