| Low rank plus sparse decomposition of synthetic aperture radar data for target imaging M Leibovich, G Papanicolaou, C Tsogka IEEE Transactions on Computational Imaging 6, 491-502, 2019 | 17 | 2019 |
| Deep probability estimation S Liu, A Kaku, W Zhu, M Leibovich, S Mohan, B Yu, H Huang, L Zanna, ... arXiv preprint arXiv:2111.10734, 2021 | 14 | 2021 |
| Beam summation theory for waves in fluctuating media. part I: The beam frame and the beam-domain scattering matrix M Leibovich, E Heyman IEEE Transactions on Antennas and Propagation 65 (10), 5431-5442, 2017 | 13 | 2017 |
| Beam summation theory for waves in fluctuating media. Part II: Stochastic field representation M Leibovich, E Heyman IEEE Transactions on Antennas and Propagation 65 (10), 5443-5452, 2017 | 9 | 2017 |
| Beam domain formulation for wave propagation in weakly rough media M Leibovich, E Heyman 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 1-4, 2014 | 6 | 2014 |
| Synthetic aperture imaging and motion estimation using tensor methods M Leibovich, G Papanicolaou, C Tsogka SIAM Journal on Imaging Sciences 13 (4), 2213-2249, 2020 | 5 | 2020 |
| Generalized correlation-based imaging for satellites M Leibovich, G Papanicolaou, C Tsogka SIAM Journal on Imaging Sciences 13 (3), 1331-1366, 2020 | 4 | 2020 |
| A Deep Learning Approach to Retrieving 3D Structure Information from High Resolution Time-Resolved TEM Images R Manzorro, M Leibovich, J Vincent, S Mohan, D Matteson, ... Microscopy and Microanalysis 27 (S1), 464-465, 2021 | 3 | 2021 |
| Correlation based Imaging for rotating satellites M Leibovich, G Papanicolaou, C Tsogka SIAM Journal on Imaging Sciences 14 (1), 271-303, 2021 | 3 | 2021 |
| Beam summation theory for waves in fluctuating media. Part II: Stochastic fields M Leibovich, E Heyman 2016 URSI International Symposium on Electromagnetic Theory (EMTS), 371-374, 2016 | 3 | 2016 |
| The Impact of Artificial Intelligence on In Situ Electron Microscopy PA Crozier, AM Morales, M Leibovich, S Mohan, P Haluai, M Tan, ... Microscopy and Microanalysis 29 (Supplement_1), 1595-1596, 2023 | 2 | 2023 |
| Evaluating unsupervised denoising requires unsupervised metrics A Marcos-Morales, M Leibovich, S Mohan, JL Vincent, P Haluai, M Tan, ... arXiv preprint arXiv:2210.05553, 2022 | 2 | 2022 |
| Low rank plus sparse decomposition of synthetic aperture radar data for target imaging and tracking M Leibovich, G Papanicolaou, C Tsogka arXiv preprint arXiv:1906.02311, 2019 | 1 | 2019 |
| In situ Study of Surface Oxygen Exchange and Transport on Ceria at Different Temperatures M Tan, M Leibovich, C Fernandez-Granda, PA Crozier Microscopy and Microanalysis 29 (Supplement_1), 1294-1295, 2023 | | 2023 |
| Extracting High Spatio-Temporal Information Using Machine Learning from Pt Nanoparticles in CO Gas Environment P Haluai, AM Morales, M Leibovich, M Tan, J Vincent, ... Microscopy and Microanalysis 29 (Supplement_1), 1930-1931, 2023 | | 2023 |
| Statistical Stability of Correlation Based Imaging Algorithms M Leibovich, G Papanicolaou, C Tsogka IEEE Transactions on Computational Imaging 9, 327-334, 2023 | | 2023 |
| Convolutional Neural Network as a Solution to Segment and Classify High Resolution TEM Images to Obtain 3D Information M Leibovich, R Manzorro, M Tan, S Mohan, A Marcos-Morales, ... Microscopy and Microanalysis 28 (S1), 3024-3026, 2022 | | 2022 |
| Deep Probability Estimation W Zhu, M Leibovich, S Liu, S Mohan, A Kaku, B Yu, L Zanna, N Razavian, ... | | 2021 |
| Novel Algorithms for Motion Detection and Imaging in Complex Scenes M Leibovich Stanford University, 2020 | | 2020 |
| RWP King Paper Award M Leibovich IEEE Transactions on Antennas and Propagation 66 (12), 6699, 2018 | | 2018 |
