2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer
2017 · Translational Oncology · 157 citations
https://doi.org/10.1016/j.tranon.2017.08.007
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Zhenyu Liu
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Zhenyu Liu is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Topology Optimization in Engineering. The author has an h-index of 59, co-authored 504 publications.
ORCID: 0000-0001-7559-8519Papers by this author
worksParallel imaging in non-bijective, curvilinear magnetic field gradients: a concept study
2008 · Magnetic Resonance Materials in Physics Biology and Medicine · 146 citations
https://doi.org/10.1007/s10334-008-0105-7
Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study
2021 · EBioMedicine · 124 citations
https://doi.org/10.1016/j.ebiom.2021.103442
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study
2019 · EBioMedicine · 108 citations
https://doi.org/10.1016/j.ebiom.2019.07.049
Immunotherapy for Triple-Negative Breast Cancer: Combination Strategies to Improve Outcome
2023 · Cancers · 96 citations
https://doi.org/10.3390/cancers15010321
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study
2019 · EBioMedicine · 66 citations
https://doi.org/10.1016/j.ebiom.2019.11.010
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