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Ege Cetintas
Ege Cetintas
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
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), 4, 2022
1382022
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
B Bai, Y Li, Y Luo, X Li, E Çetintaş, M Jarrahi, A Ozcan
Light: Science & Applications 12 (1), 69, 2023
432023
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Y Zhang, T Liu, M Singh, E Çetintaş, Y Luo, Y Rivenson, KV Larin, ...
Light: Science & Applications 10 (1), 155, 2021
372021
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 Cetintas, Y Zhu, A Ozcan
ACS sensors 6 (6), 2403-2410, 2021
252021
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, U Kiliç, C Tunca
US Patent 11,514,633, 2022
72022
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, U Kiliç, C Tunca
US Patent 11,657,555, 2023
62023
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), 3175, 2022
62022
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, U Kiliç, C Tunca
US Patent 11,769,287, 2023
52023
Seeing through unknown, random diffusers using diffractive optical networks
Y Luo, Y Zhao, J Li, E Çetintaş, Y Rivenson, M Jarrahi, A Ozcan
CLEO: QELS_Fundamental Science, FM4H. 7, 2022
12022
Dynamic imaging and characterization of volatile aerosols using deep learning-based holographic microscopy
Y Luo, Y Wu, L Li, Y Guo, E Çetintaş, Y Zhu, A Ozcan
Frontiers in Optics, FM2D. 4, 2021
12021
Diffractive optical network for seeing through diffusive or scattering media
A Ozcan, Y Luo, E Cetintas, Y Rivenson
US Patent App. 18/571,653, 2024
2024
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, U Kiliç, C Tunca
US Patent 12,008,699, 2024
2024
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, C Tunca
US Patent 11,961,170, 2024
2024
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, C Tunca
US Patent 11,928,763, 2024
2024
Systems and methods for automating conversion of drawings to indoor maps and plans
E Çetintaş, M Peker, U Kiliç, C Tunca
US Patent 11,836,834, 2023
2023
All-optical object classification through unknown phase diffusers using a single-pixel diffractive machine vision system
Y Li, B Bai, Y Luo, E Çetintaş, A Ozcan
2023 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2023
2023
Object classification through unknown random diffusers using a single-pixel diffractive network and spectrum encoding
Y Luo, B Bai, Y Li, X Li, E Çetintas, M Jarrahi, A Ozcan
AI and Optical Data Sciences IV, PC124380C, 2023
2023
Imaging through unknown, random diffusers using diffractive all-optical computing (Conference Presentation)
Y Luo, Y Zhao, J Li, E Çetintaş, Y Rivenson, M Jarrahi, A Ozcan
Emerging Topics in Artificial Intelligence (ETAI) 2022, PC122040F, 2022
2022
Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data
Y Zhang, T Liu, M Singh, E Çetintaş, Y Luo, Y Rivenson, KV Larin, ...
2022 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2022
2022
Seeing through unknown, random diffusers using all-optical diffractive networks
Y Luo, Y Zhao, J Li, E Çetintas, Y Rivenson, M Jarrahi, A Ozcan
AI and Optical Data Sciences III, PC120190N, 2022
2022
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