BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
2024 · Nature Communications · 66 citations
https://doi.org/10.1038/s41467-023-44560-w
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Xiaohang Fu
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Xiaohang Fu is an academic researcher from University of Technology Sydney. The author has contributed to research in topics: Single-cell and spatial transcriptomics & Cell Image Analysis Techniques & AI in cancer detection. The author has an h-index of 14, co-authored 40 publications.
ORCID: 0000-0003-2101-1326Papers by this author
worksSegmentation of histological images and fibrosis identification with a convolutional neural network
2018 · Computers in Biology and Medicine · 50 citations
https://doi.org/10.1016/j.compbiomed.2018.05.015
Benchmarking the translational potential of spatial gene expression prediction from histology
2025 · Nature Communications · 31 citations
https://doi.org/10.1038/s41467-025-56618-y
Enhancement of nutritional soy protein and peptide supplementation on skin repair in rats
2020 · Journal of Functional Foods · 24 citations
https://doi.org/10.1016/j.jff.2020.104231
Spatial gene expression at single-cell resolution from histology using deep learning with GHIST
2025 · Nature Methods · 5 citations
https://doi.org/10.1038/s41592-025-02795-z
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations
2023 · Journal of Digital Imaging · 2 citations
https://doi.org/10.1007/s10278-023-00895-w
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