| Imaging through glass diffusers using densely connected convolutional networks S Li, M Deng, J Lee, A Sinha, G Barbastathis Optica 5 (7), 803-813, 2018 | 435 | 2018 |
| Learning to synthesize: robust phase retrieval at low photon counts M Deng, S Li, A Goy, I Kang, G Barbastathis Light: Science & Applications 9 (1), 36, 2020 | 94 | 2020 |
| On the interplay between physical and content priors in deep learning for computational imaging M Deng, S Li, Z Zhang, I Kang, NX Fang, G Barbastathis Optics Express 28 (16), 24152-24170, 2020 | 47 | 2020 |
| Probing shallower: perceptual loss trained Phase Extraction Neural Network (PLT-PhENN) for artifact-free reconstruction at low photon budget M Deng, A Goy, S Li, K Arthur, G Barbastathis Optics express 28 (2), 2511-2535, 2020 | 30 | 2020 |
| Single-frame label-free cell tomography at speed of more than 10,000 volumes per second B Ge, Y He, M Deng, M Habibur Rahman, Y Wang, Z Wu, CHN Wong, ... arXiv e-prints, arXiv: 2202.03627, 2022 | 21 | 2022 |
| Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery M Deng, S Li, G Barbastathis arXiv preprint arXiv:1811.07945, 2018 | 19 | 2018 |
| Causal compressive sensing for gene network inference M Deng, A Emad, O Milenkovic 2012 IEEE Statistical Signal Processing Workshop (SSP), 696-699, 2012 | 6 | 2012 |
| Physics Embedded Deep Neural Network for Phase Retrieval under Low Photon Conditions M Deng, A Goy, K Arthur, G Barbastathis Computational Optical Sensing and Imaging, CM1A. 2, 2019 | 2 | 2019 |
| Low Photon Budget Phase Retrieval with Perceptual Loss Trained Deep Neural Networks M Deng, A Goy, S Li, K Arthur, G Barbastathis arXiv preprint arXiv:1906.05687, 2019 | 2 | 2019 |
| High-speed optical diffraction tomography (ODT) with deep-learning approach (Conference Presentation) B Ge, M Deng, G Barbastathis, PTC So, R Zhou, Z Yaqoob Quantitative Phase Imaging VI 11249, 1124906, 2020 | 1 | 2020 |
| High speed single-frame label-free cell tomography R Zhou, HE Yanping, PTC So, B Ge, G Barbastathis, M Deng, Z Yaqoob US Patent App. 18/066,752, 2023 | | 2023 |
| Single-shot tomographic microscopy for fast 3D cellular imaging B Ge, M Deng, Y He, Y Wang, MH Rahman, YP Ho, L Duan, Z Yaqoob, ... Novel Techniques in Microscopy, NF2C. 4, 2021 | | 2021 |
| High throughput three-dimensional imaging cytometry based on single-shot optical diffraction tomography system Y He, B Ge, M Deng, Z Yaqoob, G Barbastathis, PTC So, R Zhou High-Speed Biomedical Imaging and Spectroscopy VI 11654, 1165415, 2021 | | 2021 |
| On the use of artificial intelligence for solving inverse problems (Conference Presentation) G Barbastathis, A Goy, S Li, M Deng, K Arthur, Z Zhang Quantitative Phase Imaging V 10887, 108870W, 2019 | | 2019 |
| Too far, too small, too dark, too foggy: On the use of machine learning for computational imaging problems G Barbastathis, M Deng, S Li, A Goy, K Arthur | | 2019 |
| Computational imaging via deep learning G Barbastathis, A Goy, K Arthur, M Deng, S Li Integrated Photonics Research, Silicon and Nanophotonics, ITh4B. 1, 2018 | | 2018 |
| Imaging through glass diffusers using densely connected convolutional networks: supplementary material S LI, MO DENG, J LEE, A SINHA, G BARBASTATHIS | | |
