Author

Siyu Huang

Clemson UniversityORCID 0000-0002-2929-0115Unclaimed ORCID profile · follow to get notified of new preprints

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Siyu Huang1 paper

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Hanspeter PfisteriD· 2 shared Artem SokoloviD· 1 shared Clarence YappiD· 1 shared Clemens B. HugiD· 1 shared Dmitri B. ChklovskiiiD· 1 shared Edward NovikoviD· 1 shared Erik W. SchomburgiD· 1 shared Fumiki Yanagawa· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Hanspeter PfisterORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 29, 2025

Correcting Non-Uniform Milling in FIB-SEM Images with Unsupervised Cross-Plane Image-to-Image Translation

Yicong Li, Yuri Kreinin, Siyu Huang…·Jingpeng Wu

This paper develops a deep learning method to correct non-uniform milling artifacts in FIB-SEM images using unsupervised cross-plane image-to-image translation.

DOI 10.1101/2025.09.29.679411

imagingdeep learning

PathologybioRxivPreprintJun 23, 2025

Morphology-Aware Profiling of Highly Multiplexed Tissue Images using Variational Autoencoders

Gregory J. Baker, Edward Novikov, Shannon Coy…·Peter Karl Sorger

This paper introduces a method that combines autoencoders with segmentation to improve single-cell analysis of multiplexed tissue images by capturing morphology and reducing signal spillover.

1 citation

imagingspatial transcriptomics