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YI LUO
YI LUO
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Title
Cited by
Cited by
Year
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
15452018
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
1932019
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
1712019
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
1292019
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
1252021
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
1222021
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
1002022
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
752018
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
692018
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
642018
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
482020
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
432022
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
332022
Cascadable all-optical NAND gates using diffractive networks
Y Luo, D Mengu, A Ozcan
Scientific Reports 12 (1), 1-11, 2022
222022
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
192021
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
142021
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
132021
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
112018
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Y Li, Y Luo, B Bai, A Ozcan
arXiv preprint arXiv:2205.00428, 2022
92022
Characterization of exhaled e-cigarette aerosols in a vape shop using a field-portable holographic on-chip microscope
E Çetintaş, Y Luo, C Nguyen, Y Guo, L Li, Y Zhu, A Ozcan
Scientific reports 12 (1), 1-8, 2022
42022
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