| Neural proximal gradient descent for compressive imaging M Mardani, Q Sun, D Donoho, V Papyan, H Monajemi, S Vasanawala, ... Advances in Neural Information Processing Systems 31, 2018 | 167 | 2018 |
| Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013 | 126 | 2013 |
| Recurrent generative adversarial networks for proximal learning and automated compressive image recovery M Mardani, H Monajemi, V Papyan, S Vasanawala, D Donoho, J Pauly arXiv preprint arXiv:1711.10046, 2017 | 74 | 2017 |
| Making massive computational experiments painless H Monajemi, DL Donoho, V Stodden 2016 IEEE International Conference on Big Data (Big Data), 2368-2373, 2016 | 30 | 2016 |
| Ambitious data science can be painless H Monajemi, R Murri, E Jonas, P Liang, V Stodden, D Donoho arXiv preprint arXiv:1901.08705, 2019 | 14 | 2019 |
| Phase transitions in deterministic compressed sensing, with application to magnetic resonance spectroscopy H Monajemi Stanford University, 2016 | 9 | 2016 |
| Sparsity/undersampling tradeoffs in anisotropic undersampling, with applications in MR imaging/spectroscopy H Monajemi, DL Donoho Information and Inference: A Journal of the IMA 8 (3), 531-576, 2019 | 8 | 2019 |
| Efficient threshold selection for multivariate total variation denoising S Sardy, H Monajemi Journal of Computational and Graphical Statistics 28 (1), 23-35, 2019 | 7 | 2019 |
| Stat-330-CME-362 Collaboration and DL Donoho, Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish Proc. Natl. Acad. Sci. USA 110, 1181-1186, 2013 | 7 | 2013 |
| A scalable parallel uncertainty analysis and data assimilation framework applied to some hydraulic problems W Subber, H Monajemi, M Khalil, A Sarkar International Symposium on Uncertainties in Hydrologic and Hydraulic …, 2008 | 7 | 2008 |
| Incoherence of partial-component sampling in multidimensional NMR H Monajemi, DL Donoho, JC Hoch, AD Schuyler arXiv preprint arXiv:1702.01830, 2017 | 5 | 2017 |
| Clusterjob: An automated system for painless and reproducible massive computational experiments H Monajemi, DL Donoho Clusterjob: An automated system for painless and reproducible massive …, 2015 | 5 | 2015 |
| Threshold selection for total variation denoising S Sardy, H Monajemi arXiv preprint arXiv:1605.01438, 2016 | 2 | 2016 |
| Nonparametric estimation of galaxy cluster's emissivity and point source detection in astrophysics with two lasso penalties J Diaz-Rodriguez, D Eckert, H Monajemi, S Paltani, S Sardy arXiv preprint arXiv:1703.00654, 2017 | 1 | 2017 |
| Data Assimilation for Shallow Water Waves: Application to Flood Forecasting H Monajemi Carleton University, 2009 | 1 | 2009 |
| Nonparametric Estimation of Galaxy Cluster Emissivity and Detection of Point Sources in Astrophysics With Two Lasso Penalties J Diaz-Rodriguez, D Eckert, H Monajemi, S Paltani, S Sardy Journal of the American Statistical Association 116 (535), 1088-1099, 2021 | | 2021 |
| An Improved Data Assimilation Scheme for High Dimensional Nonlinear Systems H Monajemi, PK Kitanidis arXiv preprint arXiv:1208.0065, 2012 | | 2012 |
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityVerified email at stanford.edu
