Mr. Luzhe Huang Profile

Luzhe Huang

at UCLA Samueli School of Engg

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Publications (13)

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 | 13 March 2024 Presentation

Light-field tomographic fluorescence lifetime imaging microscopy (LIFT-FLIM)

Yayao Ma, Luzhe Huang, Chandani Sen, Samuel Burri, Claudio Bruschini, Xilin Yang, Robert Cameron, Gregory Fishbein, Brigitte Gomperts, Aydogan Ozcan, Edoardo Charbon, Liang Gao

Proceedings Volume PC12857, PC1285712 (2024) https://doi.org/10.1117/12.3002375

KEYWORDS: Fluorescence lifetime imaging, Tomography, Time lapse microscopy, Single photon avalanche diodes, Imaging arrays, Stereoscopy, Microscopy, Fluorescence, Biomedical optics, 3D image processing

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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

Few-shot transfer learning using a recurrent neural network for hologram reconstruction (Conference Presentation)

Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12389, PC123890B (2023) https://doi.org/10.1117/12.2649194

KEYWORDS: Holograms, Data modeling, Neural networks, Statistical modeling, Holography, Image processing, Optical microscopy, Microscopy, Image restoration

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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 | 6 March 2023 Presentation

Deep learning-based virtual staining of defocused autofluorescence images of label-free tissue

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC12373, PC123730H (2023) https://doi.org/10.1117/12.2648092

KEYWORDS: Tissues, Neural networks, Performance modeling, Lung, Image acquisition

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Proceedings Article | 4 October 2022 Presentation

Few-shot generalizable hologram reconstruction model using a recurrent neural network (RNN) (Conference Presentation)

Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12204, PC122040H (2022) https://doi.org/10.1117/12.2632636

KEYWORDS: Neural networks, Holograms, Statistical modeling, Data modeling, 3D image reconstruction, Tissues, Prostate, Performance modeling, Image restoration, Image quality

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Proceedings Article | 9 March 2022 Presentation

Three-dimensional virtual refocusing of point-spread function engineered images using cascaded neural networks

Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12019, PC1201906 (2022) https://doi.org/10.1117/12.2608278

KEYWORDS: Neural networks, Microscopy, Image resolution, 3D image processing, Point spread functions, Luminescence, Spatial resolution, Signal to noise ratio, Image restoration, Convolutional neural networks

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Proceedings Article | 2 March 2022 Presentation + Paper

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks

Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11970, 119700C (2022) https://doi.org/10.1117/12.2608913

KEYWORDS: Holograms, Holography, Phase retrieval, Neural networks, Image restoration, Microscopy, Reconstruction algorithms, Lung, Tissues

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Proceedings Article | 1 August 2021 Presentation

Virtual refocusing of fluorescence images using an engineered point-spread function and deep learning

Yang Xilin, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, 1180425 (2021) https://doi.org/10.1117/12.2594416

KEYWORDS: Luminescence, Point spread functions, Image resolution, Neural networks, Microscopy, Image enhancement, Error analysis

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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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Proceedings Article | 5 March 2021 Presentation

Deep learning-based single-shot autofocusing of microscopy images

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11647, 116470Y (2021) https://doi.org/10.1117/12.2580672

KEYWORDS: Microscopy, Tissues, Spherical lenses, Sensors, Luminescence, Integrated optics, Distance measurement

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Proceedings Article | 5 March 2021 Presentation

Deep-learning-based volumetric imaging in fluorescence microscopy

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11649, 116490G (2021) https://doi.org/10.1117/12.2580674

KEYWORDS: Luminescence, Microscopy, Temporal resolution, Stereoscopy, Reconstruction algorithms, Neural networks, Microscopes, Image restoration, Convolution, Biomedical optics

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Showing 5 of 13 publications

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