Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer
2020 · EBioMedicine · 147 citations
https://doi.org/10.1016/j.ebiom.2020.103054
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Ke Zhao
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Ke Zhao is an academic researcher from Shihezi University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Colorectal Cancer Surgical Treatments & Hematopoietic Stem Cell Transplantation. The author has an h-index of 27, co-authored 165 publications.
ORCID: 0000-0002-6544-6279Papers by this author
worksDax1 and Nanog act in parallel to stabilize mouse embryonic stem cells and induced pluripotency
2014 · Nature Communications · 59 citations
https://doi.org/10.1038/ncomms6042
HPIP is upregulated in colorectal cancer and regulates colorectal cancer cell proliferation, apoptosis and invasion
2015 · Scientific Reports · 54 citations
https://doi.org/10.1038/srep09429
Prediction models of colorectal cancer prognosis incorporating perioperative longitudinal serum tumor markers: a retrospective longitudinal cohort study
2023 · BMC Medicine · 54 citations
https://doi.org/10.1186/s12916-023-02773-2
BRISC is required for optimal activation of NF-κB in Kupffer cells induced by LPS and contributes to acute liver injury
2023 · Cell Death and Disease · 26 citations
https://doi.org/10.1038/s41419-023-06268-z
The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
2021 · BMC Cancer · 17 citations
https://doi.org/10.1186/s12885-021-08516-x
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