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Deniz MENGÜ
Deniz MENGÜ
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
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
1152019
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
1032019
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
852019
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
632021
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
602021
All-optical information-processing capacity of diffractive surfaces
O Kulce, D Mengu, Y Rivenson, A Ozcan
Light: Science & Applications 10 (1), 1-17, 2021
492021
Ensemble learning of diffractive optical networks
MSS Rahman, J Li, D Mengu, Y Rivenson, A Ozcan
Light: Science & Applications 10 (1), 1-13, 2021
472021
Misalignment resilient diffractive optical networks
D Mengu, Y Zhao, NT Yardimci, Y Rivenson, M Jarrahi, A Ozcan
Nanophotonics 9 (13), 4207-4219, 2020
422020
Non-iterative phase hologram computation for low speckle holographic image projection
D Mengu, E Ulusoy, H Urey
Optics Express 24 (5), 4462-4476, 2016
332016
Scale-, shift-, and rotation-invariant diffractive optical networks
D Mengu, Y Rivenson, A Ozcan
ACS photonics 8 (1), 324-334, 2020
282020
All-optical synthesis of an arbitrary linear transformation using diffractive surfaces
O Kulce, D Mengu, Y Rivenson, A Ozcan
Light: Science & Applications 10 (1), 1-21, 2021
202021
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network
J Li, YC Hung, O Kulce, D Mengu, A Ozcan
Light: Science & Applications 11 (1), 1-20, 2022
122022
Cascadable all-optical NAND gates using diffractive networks
Y Luo, D Mengu, A Ozcan
Scientific reports 12 (1), 1-11, 2022
82022
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
82018
All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging
D Mengu, A Ozcan
Advanced Optical Materials, 2200281, 2022
62022
Devices and methods employing optical-based machine learning using diffractive deep neural networks
A Ozcan, Y Rivenson, X Lin, D Mengu, Y Luo
US Patent 11,392,830, 2022
52022
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
D Mengu, M Veli, Y Rivenson, A Ozcan
Scientific reports 12 (1), 1-18, 2022
52022
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
42022
Diffractive all-optical computing for quantitative phase imaging
D Mengu, A Ozcan
arXiv preprint arXiv:2201.08964, 2022
42022
Terahertz pulse shaping using diffractive legos
M Veli, D Mengu, NT Yardimci, Y Luo, J Li, Y Rivenson, M Jarrahi, ...
32020
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