| Lensless computational imaging through deep learning A Sinha, J Lee, S Li, G Barbastathis Optica 4 (9), 1117-1125, 2017 | 688 | 2017 |
| 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 | 389 | 2018 |
| Low photon count phase retrieval using deep learning A Goy, K Arthur, S Li, G Barbastathis Physical Review Letters 121 (24), 243902, 2018 | 207 | 2018 |
| Breaking the diffraction barrier using fluorescence emission difference microscopy C Kuang, S Li, W Liu, X Hao, Z Gu, Y Wang, J Ge, H Li, X Liu Scientific reports 3 (1), 1-6, 2013 | 153 | 2013 |
| From microscopy to nanoscopy via visible light X Hao, C Kuang, Z Gu, Y Wang, S Li, Y Ku, Y Li, J Ge, X Liu Light: Science & Applications 2 (10), e108-e108, 2013 | 114 | 2013 |
| Sharper fluorescent super-resolution spot generated by azimuthally polarized beam in STED microscopy Y Xue, C Kuang, S Li, Z Gu, X Liu Optics express 20 (16), 17653-17666, 2012 | 92 | 2012 |
| 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), 1-16, 2020 | 85 | 2020 |
| High-resolution limited-angle phase tomography of dense layered objects using deep neural networks A Goy, G Rughoobur, S Li, K Arthur, AI Akinwande, G Barbastathis Proceedings of the National Academy of Sciences 116 (40), 19848-19856, 2019 | 82 | 2019 |
| Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network R Feng, C Li, H Chen, S Li, CC Loy, J Gu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 51 | 2021 |
| 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 | 41 | 2020 |
| UDC 2020 challenge on image restoration of under-display camera: Methods and results Y Zhou, M Kwan, K Tolentino, N Emerton, S Lim, T Large, L Fu, Z Pan, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 33 | 2020 |
| Spectral pre-modulation of training examples enhances the spatial resolution of the phase extraction neural network (PhENN) S Li, G Barbastathis Optics Express 26 (22), 29340-29352, 2018 | 32 | 2018 |
| Time-gated stimulated emission depletion nanoscopy Y Wang, C Kuang, Z Gu, Y Xu, S Li, X Hao, X Liu Optical Engineering 52 (9), 093107, 2013 | 27 | 2013 |
| 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 | 25 | 2020 |
| Enhancing the performance of fluorescence emission difference microscopy using beam modulation S Li, C Kuang, X Hao, Y Wang, J Ge, X Liu Journal of Optics 15 (12), 125708, 2013 | 24 | 2013 |
| Generation of a 3D isotropic hollow focal spot for single-objective stimulated emission depletion microscopy S Li, C Kuang, X Hao, Z Gu, X Liu Journal of Optics 14 (8), 085704, 2012 | 20 | 2012 |
| Roll angle measurement based on common path compensation principle Y Zhu, S Liu, C Kuang, S Li, X Liu Optics and Lasers in Engineering 67, 66-73, 2015 | 19 | 2015 |
| Real-time super-resolution imaging by high-speed fluorescence emission difference microscopy Z Rong, S Li, C Kuang, Y Xu, X Liu Journal of Modern Optics 61 (16), 1364-1371, 2014 | 19 | 2014 |
| Optical super-resolution by subtraction of time-gated images X Hao, C Kuang, Z Gu, S Li, J Ge, X Liu Optics letters 38 (6), 1001-1003, 2013 | 19 | 2013 |
| 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 | 18 | 2018 |
