Mingyong Gao

A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma.

C. Xie, Chao-Feng Li, H. Mai, 2020, Journal of the National Cancer Institute.

Three-dimensional pulsed continuous arterial spin labeling and intravoxel incoherent motion imaging of nasopharyngeal carcinoma: correlations with Ki-67 proliferation status.

Ruoning Wang, Zhifeng Xu, Tian Yu, 2021, Quantitative imaging in medicine and surgery.

A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination

Zhifeng Xu, A. Pan, Xiaofang Cheng, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Renal epithelioid angiomyolipoma: computed tomography manifestation and radiologic–pathologic correlation depending on different epithelioid component percentages

Rong Zhang, Fengqin Cai, Mingyong Gao, 2021, Abdominal Radiology.

Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinoma.

C. Xie, L. Ke, W. Xia, 2020, Oral oncology.

MRI Radiogenomics in Precision Oncology: New Diagnosis and Treatment Method

Wei Wang, Yanchun Zhang, Mingyong Gao, 2022, Computational intelligence and neuroscience.

An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features.

W. Xia, M. Qiang, Xi Chen, 2021, Oral Oncology.

Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma

L. Ke, W. Xia, M. Qiang, 2020, Frontiers in Oncology.

Aritficial Intellegence in Breast MRI Radiogenomics: Towards Accurate Prediction of Neoadjuvant Chemotherapy Responses.

Xiao-Xia Yin, Sillas Hadjiloucas, Yabin Jin, 2020, Current medical imaging.