Dr. Jonathan E. Zuckerman Profile

Dr. Jonathan E. Zuckerman

at Univ of California Los Angeles

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Author

Publications (4)

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 | 4 April 2022 Poster + Paper

A cloud-based tool for federated segmentation of whole slide images

Brendon Lutnick, David Manthey, Jan Becker, Jonathan Zuckerman, Luis Rodrigues, Kuang Yu Jen, Pinaki Sarder

Proceedings Volume 12039, 120391J (2022) https://doi.org/10.1117/12.2613502

KEYWORDS: Data modeling, Performance modeling, Image segmentation, Pathology, Picosecond phenomena, Clouds, Medicine, Tissues, Process modeling, Data archive systems

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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 | 15 February 2021 Poster + Presentation + Paper

A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy

Avinash Kammardi Shashiprakash, Brendon Lutnick, Brandon Ginley, Darshana Govind, Nicholas Lucarelli, Kuang-Yu Jen, Avi Rosenberg, Anatoly Urisman, Vighnesh Walavalkar, Jonathan Zuckerman, Marco Delsante, Mei Lin Bissonnette, John Tomaszewski, David Manthey, Pinaki Sarder

Proceedings Volume 11603, 116030V (2021) https://doi.org/10.1117/12.2581789

KEYWORDS: Distributed computing, Artificial intelligence, Visualization, Kidney, Injuries, Evolutionary algorithms, Diagnostics

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