Mr. Yijie Zhang Profile

Yijie Zhang

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Publications (12)

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 | 16 March 2023 Presentation

Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip Scumpia, Aydogan Ozcan

Proceedings Volume PC12391, PC123910U (2023) https://doi.org/10.1117/12.2648150

KEYWORDS: Skin, In vivo imaging, Reflectivity, Confocal microscopy, Biopsy, Tissues, Neural networks, Image resolution

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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

Label-free bio-aerosol detection and classification using a virtual impactor and deep learning

Yi Luo, Yijie Zhang, Tairan Liu, Alan Yu, Yichen Wu, Aydogan Ozcan

Proceedings Volume PC12369, PC123690E (2023) https://doi.org/10.1117/12.2650786

KEYWORDS: Atmospheric particles, Holograms, Aerosols, Sensing systems, Semiconductor lasers, Particles, Optical design, Neural networks, Mobile devices, Imaging devices

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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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Proceedings Article | 4 October 2022 Presentation

Deep learning-enabled, non-invasive virtual histology of skin using reflectance confocal microscopy (Conference Presentation)

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip Scumpia, Aydogan Ozcan

Proceedings Volume PC12204, PC122040N (2022) https://doi.org/10.1117/12.2632602

KEYWORDS: Skin, Reflectivity, Confocal microscopy, In vivo imaging, Tissues, Biopsy, Tumors, Standards development, Image resolution, Image analysis

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Proceedings Article | 7 March 2022 Presentation

Transformation of H&E stained tissue into special stains using deep learning

Kevin De Haan, Yijie Zhang, Jonathan Zuckerman, Tairan Liu, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan

Proceedings Volume PC11954, PC119540D (2022) https://doi.org/10.1117/12.2607987

KEYWORDS: Tissues, Diagnostics, Biopsy, Silver, Kidney

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Proceedings Article | 7 March 2022 Presentation

Deep learning-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data

Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill Larin, Aydogan Ozcan

Proceedings Volume PC11952, PC119520D (2022) https://doi.org/10.1117/12.2607930

KEYWORDS: Optical coherence tomography, Image restoration, Neural networks, 3D image reconstruction, Image quality, 3D image processing, Stereoscopy, Spectral resolution, Signal to noise ratio, Imaging systems

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Proceedings Article | 5 March 2021 Presentation

Deep learning-based multiplexed virtual staining of unlabeled tissue for micro-structured stain blending

Kevin De Haan, Yijie Zhang, Yair Rivenson, Jingxi Li, Aydogan Ozcan

Proceedings Volume 11655, 116550A (2021) https://doi.org/10.1117/12.2579426

KEYWORDS: Tissues, Multiplexing, Neural networks, Visualization, Standards development, Silver, Inspection, Chemical analysis

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Proceedings Article | 20 August 2020 Presentation

Multiplexed and micro-structured virtual staining of unlabeled tissue using deep learning

Kevin de Haan, Yijie Zhang, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan

Proceedings Volume 11469, 114690D (2020) https://doi.org/10.1117/12.2567507

KEYWORDS: Tissues, Multiplexing, Neural networks, Chemical analysis, Chemical reactions, Statistical analysis, Microscopy, Kidney, Silver, Diagnostics

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Showing 5 of 12 publications

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