Mr. Hanlong Chen Profile

Hanlong Chen

at UCLA Samueli School of Engineering

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Publications (8)

Proceedings Article | 4 October 2024 Presentation

Pixel super-resolution and autofocusing in holographic imaging through deep learning

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC13118, PC1311817 (2024) https://doi.org/10.1117/12.3027384

KEYWORDS: Holography, Deep learning, Super resolution, Reconstruction algorithms, Image processing, Image enhancement, 3D image reconstruction, Tissues, Statistical modeling, Phase recovery

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Proceedings Article | 4 October 2024 Presentation

GedankenNet: self-supervised learning of holographic imaging enabled by physics consistency

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC13118, PC1311814 (2024) https://doi.org/10.1117/12.3027298

KEYWORDS: Holography, Physics, Machine learning, Education and training, Deep learning, Data modeling, Biological samples, Biological imaging, Statistical modeling, Imaging systems

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Proceedings Article | 4 October 2024 Presentation

Solid-immersion diffractive imaging

Jingtian Hu, Kun Liao, Niyazi Ulas Dinc, Carlo Gigli, Bijie Bai, Tianyi Gan, Xurong Li, Hanlong Chen, Xilin Yang, Yuhang Li, Çağatay Işıl, Md Sadman Sakib Rahman, Jingxi Li, Xiaoyong Hu, Mona Jarrahi, Demetri Psaltis, Aydogan Ozcan

Proceedings Volume PC13118, PC131180Z (2024) https://doi.org/10.1117/12.3027884

KEYWORDS: Optical encoders, Spatial frequencies, Phase imaging, Education and training, Biosensing, Transform theory, Terahertz radiation, Solids, Refractive index, Phase reconstruction

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Proceedings Article | 4 October 2024 Presentation

Diffractive processors enable all-optical image denoising

Cagatay Isil, Tianyi Gan, Fazil Onuralp Ardic, Koray Mentesoglu, Jagrit Digani, Huseyin Karaca, Hanlong Chen, Jingxi Li, Deniz Mengu, Mona Jarrahi, Kaan Aksit, Aydogan Ozcan

Proceedings Volume PC13118, PC131180T (2024) https://doi.org/10.1117/12.3027789

KEYWORDS: Image processing, Image denoising, Digital image processing, Digital Light Processing, Denoising, Analog electronics, Light sources and illumination, Visualization, Visible radiation, Neural networks

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Proceedings Article | 13 March 2024 Presentation

Neural network uncertainty quantification in inverse imaging problems based on cycle consistency

Luzhe Huang, Jianing Li, Xiaofu Ding, Yijie Zhang, Hanlong Chen, Aydogan Ozcan

Proceedings Volume PC12903, PC129030T (2024) https://doi.org/10.1117/12.3000686

KEYWORDS: Neural networks, Inverse imaging problems, Reliability, Education and training, Super resolution, Mathematical modeling, Deep learning, Deblurring, Computational imaging, Artificial neural networks

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Proceedings Article | 12 March 2024 Presentation + Paper

Experiment-data-free self-supervised neural network for holographic microscopy imaging

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

Proceedings Volume 12852, 128520B (2024) https://doi.org/10.1117/12.3000665

KEYWORDS: Holograms, Biological samples, Microscopy, Machine learning, Biological imaging, Optical microscopy, Tissues

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Proceedings Article | 16 March 2023 Presentation

Deep learning-based hologram reconstruction with superior external generalization (Conference Presentation)

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12389, PC123890P (2023) https://doi.org/10.1117/12.2648180

KEYWORDS: Holograms, Tissues, Image restoration, Image processing, Holography, Statistical modeling, Spatial frequencies, Prostate, Neural networks, Lung

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Proceedings Article | 1 August 2021 Presentation

Convolutional recurrent neural network-enabled volumetric fluorescence imaging

Luzhe Huang, Hanlong Chen, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, 1180411 (2021) https://doi.org/10.1117/12.2594411

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Showing 5 of 8 publications

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