Digital mammographic tumor classification using transfer learning from deep convolutional neural networks
2016 · Journal of Medical Imaging · 538 citations
https://doi.org/10.1117/1.jmi.3.3.034501
H
Hui Li
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Hui Li is an academic researcher from Guangzhou University of Chinese Medicine. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & MRI in cancer diagnosis. The author has an h-index of 46, co-authored 312 publications.
ORCID: 0000-0003-3139-2898Papers by this author
worksQuantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
2016 · npj Breast Cancer · 353 citations
https://doi.org/10.1038/npjbcancer.2016.12
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer
2018 · Cancer Imaging · 69 citations
https://doi.org/10.1186/s40644-018-0145-9
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer
2018 · Cancer Imaging · 69 citations
https://doi.org/10.1186/s40644-018-0145-9
Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study
2014 · Breast Cancer Research · 63 citations
https://doi.org/10.1186/s13058-014-0424-8
MANF is neuroprotective against ethanol-induced neurodegeneration through ameliorating ER stress
2020 · Neurobiology of Disease · 47 citations
https://doi.org/10.1016/j.nbd.2020.105216
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