Concepedia
Statistics
Publications
12
Citations
391
H-Index
Active since
2018
Affiliations
Qingdao University(Current)
Affiliated Hospital of Qingdao University
Shandong Provincial Hospital
Shandong First Medical University
Center for High Pressure Science & Technology Advanced Research
Hexiang Wang is an author at Qingdao University specializing in deep learning, machine learning, and data science.
Top concepts
HealthRadiologyEngineeringData ScienceDeep LearningMedical ImagingMachine LearningMedical Image AnalysisMedical Image ComputingPrognostics
Publications per year
2018–2024
Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study
Hexiang Wang, Jian Zhang, Shan Bao et al. · Journal of Magnetic Resonance Imaging · 2020 · 74 citations
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study
Shunli Liu, Weikai Sun, Shifeng Yang et al. · European Radiology · 2021 · 67 citations
Radiomic Nomogram, Engineering, Machine Learning +13
Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study
Ruixin Yan, Dapeng Hao, Jie Li et al. · Journal of Magnetic Resonance Imaging · 2021 · 58 citations
An<scp>MRI</scp>‐Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors
Han Zhang, Hexiang Wang, Dapeng Hao et al. · Journal of Magnetic Resonance Imaging · 2020 · 30 citations
CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study
Hongzheng Song, Shifeng Yang, Boyang Yu et al. · Cancer Imaging · 2023 · 29 citations · Full text
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