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Jonathan E. Zuckerman
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2020 – today
- 2023
- [i2]Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Sepehr Hamidi, Anatoly Urisman, Tal Keidar Haran, William Dean Wallace, Jonathan E. Zuckerman, Aydogan Ozcan:
Virtual histological staining of unlabeled autopsy tissue. CoRR abs/2308.00920 (2023) - 2022
- [c2]Brendon Lutnick, David Manthey, Jan U. Becker, Jonathan E. Zuckerman, Luis Rodrigues, Kuang Yu Jen, Pinaki Sarder:
A cloud-based tool for federated segmentation of whole slide images. Digital and Computational Pathology 2022 - 2021
- [c1]Avinash Kammardi Shashiprakash, Brendon Lutnick, Brandon Ginley, Darshana Govind
, Nicholas J. Lucarelli, Kuang-Yu Jen, Avi Z. Rosenberg, Anatoly Urisman, Vighnesh Walavalkar, Jonathan E. Zuckerman, Marco Delsante
A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. Digital Pathology 2021 - 2020
- [i1]Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan:
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. CoRR abs/2008.08871 (2020)
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last updated on 2024-12-08 01:32 CET by the dblp team
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