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2020 – today
- 2024
[j5]Hua Qian, Xiaojing Ren, Maosheng Xu, Zhen Fang, Ruixin Zhang, Yangyang Bu, Changyu Zhou:
Magnetic resonance imaging-based radiomics was used to evaluate the level of prognosis-related immune cell infiltration in breast cancer tumor microenvironment. BMC Medical Imaging 24(1): 31 (2024)- 2023
- [j4]Yufeng Liu, Shiwei Wang, Jingjing Qu, Rui Tang, Chundan Wang, Fengchun Xiao, Peipei Pang, Zhichao Sun, Maosheng Xu, Jiaying Li:
High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4. BMC Medical Imaging 23(1): 58 (2023) - 2022
- [j3]Chen Gao, Ning Kong, Fan Zhang, Liuzhi Zhou, Maosheng Xu, Linyu Wu
:
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. BMC Bioinform. 23(1): 327 (2022) - [j2]Ming Fan, Chengcheng Yuan, Guangyao Huang, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li:
A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. IEEE J. Biomed. Health Informatics 26(8): 3884-3895 (2022) - 2020
- [j1]Ming Fan, Wei Yuan, Wenrui Zhao, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li:
Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. IEEE J. Biomed. Health Informatics 24(6): 1632-1642 (2020)
2010 – 2019
- 2019
- [c1]Peng Zhang, Ming Fan, Yuanzhe Li, Maosheng Xu, Lihua Li:
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. Medical Imaging: Computer-Aided Diagnosis 2019: 109500H
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