Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images
2020 · Translational Oncology · 70 citations
https://doi.org/10.1016/j.tranon.2020.100921
R
Rongshan Yu
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Rongshan Yu is an academic researcher from Xiamen University. The author has contributed to research in topics: Advanced Data Compression Techniques & Single-cell and spatial transcriptomics & Speech and Audio Processing. The author has an h-index of 24, co-authored 154 publications.
ORCID: 0000-0003-2179-173XPapers by this author
worksH^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 65 citations
https://doi.org/10.1609/aaai.v36i1.19976
Opioid-induced fragile-like regulatory T cells contribute to withdrawal
2023 · Cell · 63 citations
https://doi.org/10.1016/j.cell.2022.12.030
Deepfakes: A new threat to image fabrication in scientific publications?
2022 · Patterns · 62 citations
https://doi.org/10.1016/j.patter.2022.100509
Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma
2022 · Communications Medicine · 31 citations
https://doi.org/10.1038/s43856-022-00197-2
DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks
2022 · Patterns · 24 citations
https://doi.org/10.1016/j.patter.2022.100440
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