Author

Sa Xiao

University of WashingtonORCID 0000-0002-4574-1406Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

Aaron LeeiD· 3 shared Ariel RokemiD· 3 shared Yue WuiD· 3 shared Cecilia S. LeeiD· 2 shared Adnan TufailiD· 1 shared Ariel J. Tyring· 1 shared Bingjie LiuiD· 1 shared Cheng Qian· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersNeuroscience

Aaron LeeORCID

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Author profile →

4 papers

Recent·Most cited

TMEM100 attenuates NF-κB activation via disrupting the PRDX1-GNAI2 complex to alleviate acute lung injury

Cheng Qian, Linxin Pan, Chuncan Si, Youwen Du, Jingying Wang, Yue Jing He, Bingjie Liu, Sa Xiao, Yufeng Zhu, Fengsong Wang, Kezhen Wang

This study shows TMEM100 reduces NF-κB activation by breaking the PRDX1-GNAI2 complex, thereby alleviating acute lung injury in mice.

bioRxiv · Oct 24, 2025 · PreprintImmunology

Generating perfusion maps from structural optical coherence tomography with artificial intelligence

Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao, Ariel Rokem, Nicolaas P. DeRuyter, Qinqin Zhang, Adnan Tufail, Ruikang K. Wang, Aaron Lee

This paper uses deep learning to generate perfusion maps from structural OCT images without expert labels, outperforming clinicians in fidelity.

Scientific Reports · Apr 5, 2019Peer-reviewedNeuroscience

Forecasting Future Humphrey Visual Fields Using Deep Learning

Joanne C. Wen, Cecilia S. Lee, Pearse Andrew Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Lee

This study trains a deep learning model to predict future 24-2 Humphrey Visual Fields up to 5.5 years ahead using historical data from glaucomatous patients.

PLoS ONE · Apr 5, 2019Peer-reviewedBioinformatics

MRI2MRI: A deep convolutional network that accurately transforms between brain MRI contrasts

Sa Xiao, Yue Wu, Aaron Lee, Ariel Rokem

MRI2MRI transforms between brain MRI contrasts using a deep convolutional network, improving spatial registration across different imaging modalities.

bioRxiv · Mar 27, 2018 · PreprintNeuroscience