A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours
2021 · Cancer Imaging · 51 citations
https://doi.org/10.1186/s40644-021-00387-6
H
Hexiang Wang
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13
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14
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Hexiang Wang is an academic researcher from Qingdao University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Sarcoma Diagnosis and Treatment & Bone Tumor Diagnosis and Treatments. The author has an h-index of 13, co-authored 26 publications.
ORCID: 0000-0002-2986-6161Papers by this author
worksPrimary hepatic perivascular epithelioid cell tumors: imaging findings with histopathological correlation
2019 · Cancer Imaging · 30 citations
https://doi.org/10.1186/s40644-019-0212-x
Prediction of cancer-specific survival and overall survival in middle-aged and older patients with rectal adenocarcinoma using a nomogram model
2020 · Translational Oncology · 14 citations
https://doi.org/10.1016/j.tranon.2020.100938
ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning
2024 · IEEE Journal of Biomedical and Health Informatics · 6 citations
https://doi.org/10.1109/jbhi.2024.3484991
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study
2025 · Cancer Imaging · 3 citations
https://doi.org/10.1186/s40644-025-00849-1
The existence of solutions for a Caputo-type fractional boundary value problems
2024 · Journal of Physics Conference Series · 0 citations
https://doi.org/10.1088/1742-6596/2905/1/012021
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