DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. - Peng Zhang; Ming Fan 003; Yuanzhe Li; Maosheng Xu; Lihua Li 002 (Computer-Aided Diagnosis, 2019)

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. - Ming Fan 003; Wei Yuan; Wenrui Zhao; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2020)

A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. - Ming Fan 003; Chengcheng Yuan; Guangyao Huang; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Development and validation of the potential biomarkers based on m6A-related lncRNAs for the predictions of overall survival in the lung adenocarcinoma and differential analysis with cuproptosis. - Chen Gao; Ning Kong; Fan Zhang; Liuzhi Zhou; Maosheng Xu; Linyu Wu (BMC Bioinform., 2022)

High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4. - Yufeng Liu; Shiwei Wang; Jingjing Qu; Rui Tang; Chundan Wang; Fengchun Xiao; Peipei Pang; Zhichao Sun; Maosheng Xu; Jiaying Li (BMC Medical Imaging, 2023)

Magnetic resonance imaging-based radiomics was used to evaluate the level of prognosis-related immune cell infiltration in breast cancer tumor microenvironment. - Hua Qian; Xiaojing Ren; Maosheng Xu; Zhen Fang; Ruixin Zhang; Yangyang Bu; Changyu Zhou (BMC Medical Imaging, 2024)