He-xiang Wang

发表

Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.

Shunli Liu, Yancheng Song, Hexiang Wang, 2020, Diagnostic and interventional radiology.

A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland

D. Hao, Xuejun Liu, Wenjian Xu, 2020, European Radiology.

Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas

D. Hao, Jihua Liu, Hexiang Wang, 2019, Journal of magnetic resonance imaging : JMRI.

The Diagnostic Value of Quantitative CT Analysis of Ground-Glass Volume Percentage in Differentiating Epidermal Growth Factor Receptor Mutation and Subtypes in Lung Adenocarcinoma

Hexiang Wang, Jizheng Lin, Hongwei Guo, 2019, BioMed research international.

Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study

Chencui Huang, D. Hao, Jihua Liu, 2020, Journal of magnetic resonance imaging : JMRI.

A novel immune-related genes signature after bariatric surgery is histologically associated with non-alcoholic fatty liver disease

Yancheng Song, Hexiang Wang, Yu Li, 2021, Adipocyte.

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study

Chencui Huang, Shunli Liu, D. Hao, 2021, European Radiology.

Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study

Chencui Huang, Shifeng Yang, He-xiang Wang, 2024, Insights into imaging.

Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.

D. Hao, Wenjian Xu, Hexiang Wang, 2020, AJR. American journal of roentgenology.

Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.

Shao-Feng Duan, D. Hao, Jihua Liu, 2020, Journal of magnetic resonance imaging : JMRI.

Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study

Peng Zhang, D. Hao, Hexiang Wang, 2021, Frontiers in Oncology.

Prediction of cancer-specific survival and overall survival in middle-aged and older patients with rectal adenocarcinoma using a nomogram model

Hexiang Wang, Hao Liu, Yidan Qu, 2020, Translational oncology.

Research on imbalance machine learning methods for MR\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$T_1$$\end{documen

Lisha Duan, Shifeng Yang, Li-sha Duan, 2022, BMC Medical Imaging.

Preoperative contrast-enhanced CT-based radiomics nomogram for differentiating benign and malignant primary retroperitoneal tumors

F. Hou, Shuning Liu, Jun Xu, 2023, European Radiology.

A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours

Shunli Liu, D. Hao, Wenjian Xu, 2021, Cancer Imaging.

Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.

Yancheng Song, Hexiang Wang, Hao Liu, 2021, Academic radiology.

Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma

Chencui Huang, Lisha Duan, Shifeng Yang, 2024, Cancer imaging : the official publication of the International Cancer Imaging Society.

An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors

Shunli Liu, P. Nie, D. Hao, 2022, Journal of magnetic resonance imaging : JMRI.

Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study

D. Hao, Hexiang Wang, Lisha Duan, 2022, Frontiers in Oncology.

Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study

D. Hao, Hexiang Wang, Jie Li, 2022, European Radiology.

Morphometric MRI changes in intracranial hypertension due to cerebral venous thrombosis: a retrospective imaging study.

P. Nie, D. Hao, Wenjian Xu, 2016, Clinical radiology.

MRI findings in intraspinal mature teratoma.

P. Nie, D. Hao, H. Wang, 2016, Clinical radiology.

Imaging features of lipoma arborescens

Yongjie Huang, Hao Liu, Haiyan Liu, 2021, Acta radiologica.