All-optical machine learning using diffractive deep neural networks X Lin, Y Rivenson, NT Yardimci, M Veli, Y Luo, M Jarrahi, A Ozcan Science 361 (6406), 1004-1008, 2018 | 1030 | 2018 |

Design of task-specific optical systems using broadband diffractive neural networks Y Luo, D Mengu, NT Yardimci, Y Rivenson, M Veli, M Jarrahi, A Ozcan Light: Science & Applications 8 (1), 1-14, 2019 | 127 | 2019 |

Analysis of diffractive optical neural networks and their integration with electronic neural networks D Mengu, Y Luo, Y Rivenson, A Ozcan IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-14, 2019 | 118 | 2019 |

Class-specific differential detection in diffractive optical neural networks improves inference accuracy J Li, D Mengu, Y Luo, Y Rivenson, A Ozcan Advanced Photonics 1 (4), 046001, 2019 | 90 | 2019 |

Terahertz pulse shaping using diffractive surfaces M Veli, D Mengu, NT Yardimci, Y Luo, J Li, Y Rivenson, M Jarrahi, ... Nature Communications 12 (1), 1-13, 2021 | 78 | 2021 |

Spectrally encoded single-pixel machine vision using diffractive networks J Li, D Mengu, NT Yardimci, Y Luo, X Li, M Veli, Y Rivenson, M Jarrahi, ... Science Advances 7 (13), eabd7690, 2021 | 71 | 2021 |

Label-free bioaerosol sensing using mobile microscopy and deep learning Y Wu, A Calis, Y Luo, C Chen, M Lutton, Y Rivenson, X Lin, HC Koydemir, ... ACS Photonics 5 (11), 4617-4627, 2018 | 62 | 2018 |

Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning Y Zhang, HC Koydemir, MM Shimogawa, S Yalcin, A Guziak, T Liu, I Oguz, ... Light: Science & Applications 7 (1), 1-18, 2018 | 54 | 2018 |

Deep learning enables high-throughput analysis of particle-aggregation-based biosensors imaged using holography Y Wu, A Ray, Q Wei, A Feizi, X Tong, E Chen, Y Luo, A Ozcan ACS Photonics 6 (2), 294-301, 2018 | 51 | 2018 |

Computational imaging without a computer: seeing through random diffusers at the speed of light Y Luo, Y Zhao, J Li, E Çetintaş, Y Rivenson, M Jarrahi, A Ozcan eLight 2 (1), 1-16, 2022 | 41 | 2022 |

Deep learning-based holographic polarization microscopy T Liu, K de Haan, B Bai, Y Rivenson, Y Luo, H Wang, D Karalli, H Fu, ... ACS Photonics 7 (11), 3023-3034, 2020 | 33 | 2020 |

Cascadable all-optical NAND gates using diffractive networks Y Luo, D Mengu, A Ozcan Scientific Reports 12 (1), 1-11, 2022 | 9 | 2022 |

Quantitative particle agglutination assay for point-of-care testing using mobile holographic imaging and deep learning Y Luo, HA Joung, S Esparza, J Rao, O Garner, A Ozcan Lab on a Chip 21 (18), 3550-3558, 2021 | 9 | 2021 |

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects B Bai, Y Luo, T Gan, J Hu, Y Li, Y Zhao, D Mengu, M Jarrahi, A Ozcan arXiv preprint arXiv:2205.13122, 2022 | 8 | 2022 |

Response to Comment on" All-optical machine learning using diffractive deep neural networks" D Mengu, Y Luo, Y Rivenson, X Lin, M Veli, A Ozcan arXiv preprint arXiv:1810.04384, 2018 | 8 | 2018 |

Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy Y Luo, Y Wu, L Li, Y Guo, E Çetintaş, Y Zhu, A Ozcan ACS sensors, 2021 | 7 | 2021 |

At the intersection of optics and deep learning: statistical inference, computing, and inverse design D Mengu, MSS Rahman, Y Luo, J Li, O Kulce, A Ozcan Advances in Optics and Photonics 14 (2), 209-290, 2022 | 6 | 2022 |

DEVICES AND METHODS EMPLOYING OPTICAL-BASED MACHINE LEARNING USING DIFFRACTIVE DEEP NEURAL NETWORKS A Ozcan, Y Rivenson, X Ling, D Mengu, Y Luo US Patent App. 17/046,293, 2021 | 6 | 2021 |

Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers Y Li, Y Luo, B Bai, A Ozcan arXiv preprint arXiv:2205.00428, 2022 | 3 | 2022 |

Label-free bio-aerosol sensing using on-chip holographic microscopy and deep learning Y Wu, A Calis, Y Luo, C Chen, M Lutton, Y Rivenson, X Lin, HC Koydemir, ... CLEO: Applications and Technology, AM2K. 3, 2019 | 3 | 2019 |