Ms. Yuzhu Li Profile

Yuzhu Li

at Univ. of California, Los Angeles

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Author

Publications (11)

Proceedings Article | 4 October 2024 Presentation

Neural network-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 PC13118, PC1311808 (2024) https://doi.org/10.1117/12.3027365

KEYWORDS: Nervous system, Neural networks, Autofluorescence, Education and training, Performance modeling, Microscopes, Lung

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Proceedings Article | 4 October 2024 Presentation

Reconfigurable diffractive optical networks for multiplexed all-optical permutation operations

Guangdong Ma, Xilin Yang, Bijie Bai, Jingxi Li, Yuhang Li, Tianyi Gan, Che-Yung Shen, Yijie Zhang, Yuzhu Li, Mona Jarrahi, Aydogan Ozcan

Proceedings Volume PC13118, PC1311813 (2024) https://doi.org/10.1117/12.3028458

KEYWORDS: Optical networks, Multiplexing, Matrices, Design, Terahertz radiation, Telecommunications, Structural design, Reconfigurable computing, Optical surfaces, Optical communications

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Proceedings Article | 4 October 2024 Presentation

Classification of HER2 score in breast cancer images using deep learning and pyramid sampling

Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Musa Aydin, Aras Firat Unal, Aditya Gomatam, Zhen Guo, Morgan Darrow, Goren Kolodney, Karine Atlan, Tal Keidar Haran, Nir Pillar, Aydogan Ozcan

Proceedings Volume PC13118, PC131180E (2024) https://doi.org/10.1117/12.3027545

KEYWORDS: Image classification, Tissues, Breast cancer, Deep learning, Pathology, Systems modeling, Oncology, Cancer, Spatial learning, Pathogens

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Proceedings Article | 4 October 2024 Presentation

Rapid and stain-free quantification of viral plaques using deep learning and time-lapse holographic imaging

Yuzhu Li, Tairan Liu, Hatice Koydemir, Yijie Zhang, Ethan Yang, Hongda Wang, Jingxi Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC13118, PC131180I (2024) https://doi.org/10.1117/12.3027879

KEYWORDS: Holography, Deep learning, Viruses, System identification, Herpes, Clinical research, Clinical practice

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Proceedings Article | 4 October 2024 Presentation

Deep learning-enabled virtual staining of label-free autopsy tissue sections

Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Yijie Zhang, Sepehr Hamidi, Anatoly Urisman, Tal Haran, W. Dean Wallace, Jonathan Zuckerman, Aydogan Ozcan

Proceedings Volume PC13118, PC131180X (2024) https://doi.org/10.1117/12.3027873

KEYWORDS: Tissues, Biological samples, Nervous system, Education and training, Neural networks, COVID 19, Autofluorescence

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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 | 6 March 2023 Presentation

Virtual stain-to-stain transformations via cascaded deep neural networks

Xilin Yang, Bijie Bai, Yuzhu Li, Yijie Zhang, Tairan Liu, Kevin de Haan, Aydogan Ozcan

Proceedings Volume PC12371, PC123710C (2023) https://doi.org/10.1117/12.2648101

KEYWORDS: Neural networks, Tissues, Data modeling, Kidney, Image quality, Diagnostics, Biopsy

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Proceedings Article | 6 March 2023 Presentation

Stain-free, rapid, and quantitative viral plaque assay using deep learning and time-lapse holographic imaging

Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Yijie Zhang, Ethan Yang, Hongda Wang, Jingxi Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC12369, PC123690D (2023) https://doi.org/10.1117/12.2648162

KEYWORDS: Holography, Prototyping, Neural networks, Gold, 3D image reconstruction

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Proceedings Article | 6 March 2023 Presentation

Rapid detection and classification of bacterial colonies using a thin film transistor (TFT) image sensor and deep learning

Yuzhu Li, Tairan Liu, Hatice Koydemir, Hongda Wang, Keelan O'Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, Aydogan Ozcan

Proceedings Volume PC12369, PC123690A (2023) https://doi.org/10.1117/12.2648167

KEYWORDS: Image sensors, Transistors, Thin films, Image classification, Neural networks, Imaging systems, Environmental sensing, Classification systems, Bacteria

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Proceedings Article | 6 March 2023 Presentation

Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12368, PC123680J (2023) https://doi.org/10.1117/12.2648173

KEYWORDS: Tissues, Breast, Auto-fluorescence imaging, Transform theory, Receptors, Quantitative analysis, Microscopes, Luminescence, Diagnostics

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Proceedings Article | 4 October 2022 Presentation

Virtual immunohistochemical (IHC) staining of unlabeled tissue using deep learning (Conference Presentation)

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin De Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12204, PC122040O (2022) https://doi.org/10.1117/12.2632652

KEYWORDS: Tissues, Breast, Tumors, Transform theory, Receptors, Quantitative analysis, Neural networks, Diagnostics, Breast cancer

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Showing 5 of 11 publications

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