A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
2023 · Patterns · 48 citations
https://doi.org/10.1016/j.patter.2023.100826
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Zhenwei Shi
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Zhenwei Shi is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Lung Cancer Diagnosis and Treatment. The author has an h-index of 26, co-authored 94 publications.
ORCID: 0000-0003-1305-5935Papers by this author
worksMethodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy
2021 · European Journal of Nuclear Medicine and Molecular Imaging · 29 citations
https://doi.org/10.1007/s00259-021-05658-9
Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomes
2020 · Methods · 28 citations
https://doi.org/10.1016/j.ymeth.2020.11.005
Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study
2022 · Journal of Translational Medicine · 18 citations
https://doi.org/10.1186/s12967-022-03777-x
Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification
2022 · Journal of Translational Medicine · 16 citations
https://doi.org/10.1186/s12967-022-03458-9
A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort study
2024 · International Journal of Surgery · 16 citations
https://doi.org/10.1097/js9.0000000000001161
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