Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma
2019 · Cancer Imaging · 51 citations
https://doi.org/10.1186/s40644-019-0266-9
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Yi Wei
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Yi Wei is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Hepatocellular Carcinoma Treatment and Prognosis & Radiomics and Machine Learning in Medical Imaging & Liver Disease Diagnosis and Treatment. The author has an h-index of 30, co-authored 149 publications.
ORCID: 0000-0003-3993-9747Papers by this author
worksEsophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations
2018 · Journal of Magnetic Resonance Imaging · 21 citations
https://doi.org/10.1002/jmri.26172
Quantitative measurements of esophageal varices using computed tomography for prediction of severe varices and the risk of bleeding: a preliminary study
2022 · Insights into Imaging · 21 citations
https://doi.org/10.1186/s13244-022-01189-5
CT-derived quantitative liver volumetric parameters for prediction of severe esophageal varices and the risk of first variceal hemorrhage
2021 · European Journal of Radiology · 16 citations
https://doi.org/10.1016/j.ejrad.2021.109984
Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma
2023 · Frontiers in Oncology · 16 citations
https://doi.org/10.3389/fonc.2023.1103521
CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma
2022 · Frontiers in Oncology · 15 citations
https://doi.org/10.3389/fonc.2022.961779
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