Hexiang Wang
Hubei Academy of Agricultural Sciences(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Sarcoma Diagnosis and Treatment, Bone Tumor Diagnosis and Treatments, Bladder and Urothelial Cancer Treatments, Colorectal Cancer Screening and Detection
Most-Cited Works
- → Resurgence and advancement of photochemical hydrogen atom transfer processes in selective alkane functionalizations(2023)138 cited
- → Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study(2020)74 cited
- → Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study(2021)69 cited
- → Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study(2021)58 cited
- → AnMRI‐Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors(2020)30 cited
- → CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study(2023)30 cited
- → Deep learning signature based on multiphase enhanced CT for bladder cancer recurrence prediction: a multi-center study(2023)23 cited
- → A multi-view co-training network for semi-supervised medical image-based prognostic prediction(2023)22 cited
- → MRI Findings of Early Myositis Ossificans without Calcification or Ossification(2018)21 cited
- → Copper-Catalyzed Formal [4 + 1] Annulation toward Diverse Trifunctionalized Indolizines from Pyridinium 1,4-Zwitterionic Thiolates and Diazos(2023)20 cited